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  • Barlow, Mike  (22)
  • Dunning, Ted  (9)
  • Sebastopol, CA : O'Reilly Media  (31)
  • Electronic books  (31)
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  • 1
    Online Resource
    Online Resource
    AI and analytics in production : how to make it work (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Real-time data processing ; Electronic data processing ; Distributed processing ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: If you've begun to deploy large-scale data systems into production, or have at least explored the process, this practical ebook shows business team leaders, business analysts, and technical developers how to make your big data analytics, machine learning, and AI initiatives production ready. Authors Ted Dunning and Ellen Friedman provide a non-technical guide to best practices for a process that can be quite challenging. Rather than provide a complex review of tools, this ebook explores fundamental ideas on how to make your analytics production easier and more effective, based on the authors' observations across a wide range of industries. Whether your organization is just getting started or already has data-driven applications in production, you'll find helpful content that will help you succeed.. Gain an understanding of the goals, challenges, and potential pitfalls of deploying analytics and AI to production Learn the best way to design, plan, and execute large data systems in production Focus on the special case of machine learning and AI in production Examine MapR, a data platform with the technical capabilities to support emerging trends for large-scale data Explore a range of design patterns that work well for production customers across various sectors Get best practices for avoiding various gotchas as you move to production
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed November 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492044116/?ar
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    The state of CAD 2017 : reinventing design and manufacturing (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer-aided design ; Computer-aided engineering ; Cloud computing ; Production management ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: The traditional manufacturing process for moving an idea from initial concept to finished product consists of several stages, each involving a different set of specialists. But not any longer. With this report, you'll learn how today's cloud-based computer-aided design (CAD) systems can unify multiple stages into a relatively seamless end-to-end process that reduces the product development cycle from years to weeks. Author Mike Barlow examines this new manufacturing paradigm through interviews with cloud-based CAD vendors, including Autodesk, Onshape, and PTC. You'll also learn how specialty product manufacturers use new CAD systems for quick prototyping, iteration, and closer communication and collaboration among design, engineering, assembly, and manufacturing teams. The beauty of cloud-based CAD is that team members can review designs and collaborate in real time via Macs, PCs and mobile phones, rather than the expensive workstations and huge files associated with traditional CAD and computer-aided manufacturing (CAM) systems. Get a copy of this report and discover how manufacturers now have the ability to develop innovative products much faster and far more efficiently than ever before.
    Note: Description based on online resource; title from title page (Safari, viewed August 2, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491989517/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Machine learning logistics : model management in the real world (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Information technology ; Management ; Business enterprises ; Data processing ; Management ; Electronic books ; Electronic books ; local
    Abstract: To succeed with machine learning or deep learning, you must handle the logistics well. Simply put, you need an effective management system for overall data flow and the evaluation and deployment of multiple models as they move from prototype to production. Without that, your project will most likely fail. This report examines what you need for effective data and model management in real-world settings, including globally distributed cloud or on-premises systems. Authors Ted Dunning and Ellen Friedman introduce the rendezvous architecture, an innovative design to help you handle machine-learning logistics. This approach not only paves the way to successful long-term management, it also frees up your time and effort to focus on the machine learning process itself and on how to take action on results. This report provides a basic, non-technical view of what makes the approach work, as well as in-depth technical details. The report is ideal for data scientists, architects, developers, ops teams, and project managers, whether your team is planning to build a machine learning system, or currently has one underway. You will learn: The issues in machine learning logistics you need to consider when designing and implementing your system How the rendezvous architecture leverages streaming data, provides hot hand-off of new models, and collects diagnostic data Practical tips for comparing live models, including the role of decoys, canaries and the t-digest Best practices for maintaining performance after deployment
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491997628/?ar
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  • 4
    Online Resource
    Online Resource
    Artificial intelligence across industries : how AI is transforming telco, retail, and financial services (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Artificial intelligence ; Industrial applications ; Business enterprises ; Technological innovations ; Business enterprises ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Artificial Intelligence is transforming the world. Through a convergence of technology leaps, social transformations, and genuine economic needs, AI is moving from its academic roots to the forefront of business and industry. In this report, we examine how companies in three economic sectors-telecommunications, retail, and financial services-are tackling new challenges and opportunities by incorporating AI into their products and operations. Every nook and cranny of the modern economy will eventually feel AI's impact, from energy, transportation, and healthcare to manufacturing, entertainment, education, IT, and government. And the boom in AI development will lead to greater demand for hardware and services among growing AI developer communities. As a leader in visual computing technologies, NVIDIA has become a partner for many organizations taking the plunge into AI. This report lists startups and AI use cases in our three target sectors, and helps you explore how: Big data technology fulfilled the promise of previous research into AI Telecommunications companies are using AI to improve and expand high-quality voice and data services Retailers are leveraging their own data to increase conversion rates and revenue among tech-savvy consumers Financial service companies are using AI to price assets, analyze risk, offer new services, and provide new customer experiences
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491991046/?ar
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  • 5
    Online Resource
    Online Resource
    Data where you want it : geo-distribution of big data and analytics (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Management ; Information technology ; Management ; Business enterprises ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Abstract: Many organizations have begun to rethink the strategy of allowing regional teams to maintain independent databases that are periodically consolidated with the head office. As businesses extend their reach globally, these hierarchical approaches no longer work. Instead, an enterprise's entire data infrastructure-including multiple types of data persistence-needs to be shared and updated everywhere at the same time with fine-grained control over who has access. This practical report examines the requirements and challenges of constructing a geo-distributed data platform, including examples of specific technologies designed to meet them. Authors Ted Dunning and Ellen Friedman also provide real-world use cases that show how low-latency geo-distribution of very large-scale data and computation provide a competitive edge. With this report, you'll explore: How replication and mirroring methods for data movement provide the large scale, low latency, and low cost that systems demand The importance of multimaster replication of data streams and databases Advantages (and disadvantages) of cloud neutrality, cloud bursting, and hybrid cloud architecture for transferring data Why effective data governance is a complex process that requires the right tools for controlling and monitoring geo-distributed data How to make containers work for geo-distributed data at scale, even where stateful applications are involved Use cases that demonstrate how telecoms and online advertisers distribute large quantities of data
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed September 12, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491983577/?ar
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  • 6
    Online Resource
    Online Resource
    Data science in transportation : emerging ecosystems and new technology stacks (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Transportation ; Information technology ; Transportation ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Hold on, because we're entering the age of smart transportation at astonishing speed. By 2020, roughly one in every five vehicles (250 million) will be on the road. Within the next 10 years, the very idea of manually operating a car, truck, ship, plane, or train may seem old fashioned, as the overarching trend will be toward greater automation at every level of transportation. Are we ready for it? In this report, Mike Barlow examines the autonomous vehicle ecosystem through interviews with several technology firms, including Cloudera, that are busy working on various aspects of connected transportation. Vehicles in motion-on land, in the air, or on the sea-will generate and transmit huge quantities of data to transportation infrastructure (roads, bridges, traffic signals), and other vehicles. The data from your car, in fact, may soon be more valuable than the car itself. Get a copy of this report and learn how the vehicles of tomorrow (or maybe the day after tomorrow) will impact mobility management, safety, vehicle management, operator well-being, entertainment, and even the way cities are designed.
    Note: Description based on online resource; title from title page (Safari, viewed May 3, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491990711/?ar
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  • 7
    Online Resource
    Online Resource
    Practical artificial intelligence in the Cloud : exploring AI-as-a-service for business and research (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781491967393 , 1491967390
    Language: English
    Pages: 1 online resource (1 volume) , illustration
    Keywords: Artificial intelligence ; Economic aspects ; Machine learning ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Only a couple of years ago, artificial intelligence was a cliché, a sad remnant of 1950s-style futurism. Today it's sexy again, and that far-off future of intelligent bots is just around the corner. Consider the latest trend, AI-as-a-Service (AIaaS). Software vendors such as Google, IBM, and Amazon are rolling out sophisticated cloud-based AI and machine-learning services for a growing market of developers and users in business and academia. Through interviews with consumers and executives of AIaaS vendors, author Mike Barlow examines the primary driver of this new approach: AI is simply too big for any single device or system. But with AIaaS, developers can build applications that perform data collection and compression on devices, while advanced processes such as natural language processing and machine learning are performed in the cloud. When will consumers feel the impact? Fairly soon, you may be dealing with customer-service bots that know the answers before you even ask a question. Download this report and explore how: AI is now a distributed phenomenon, with information passed back and forth between local devices and remote systems AIaaS vendors already support a diverse menu of APIs for AI developers. AI apps and interfaces will be designed and engineered increasingly for non-technical users Companies will routinely incorporate AI capabilities into new products and services
    Note: Description based on online resource; title from title page (viewed January 3, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049814/?ar
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  • 8
    Online Resource
    Online Resource
    Evolving architectures of fintech : structuring a new generation of financial services with modular software and agile development strategies (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Finance ; Technological innovations ; Banks and banking ; Technological innovations ; Application software ; Development ; Blockchains (Databases) ; Electronic funds transfers ; Electronic books ; Electronic books ; local
    Abstract: Many regard FinTech as another example of technological disruption, but FinTech solutions need to integrate with existing systems in the financial industry, not replace them. As this report explains, "integration" between emerging technology and the entrenched financial services infrastructure is an ongoing challenge. There is much progress, but many hurdles remain. Through interviews with financial, technology, and legal experts, author Mike Barlow explores efforts to make financial services platforms more developer-friendly. Many software architects see modular software based on microservices and service-oriented architecture (SOA) as the way forward, but the financial industry's regulatory environment is a significant barrier to overcome. Download this report and learn how FinTech startups are creating novel types of business models in Africa and Asia, where there are far fewer traditional banks, and in Europe and the US, where financial institutions generally avoid the market for small business loans.
    Note: Description based on online resource; title from title page (Safari, viewed December 12, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492049074/?ar
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  • 9
    Online Resource
    Online Resource
    The resurgence of C programming : do you still need to write code to build cool machines? (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: C (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Although high-level languages such as Java and Python are popular choices among programmers, there's a lot of renewed interest in the venerable C language. In this report, Mike Barlow examines how the widespread use of embedded software, and the emergence of the maker movement and open-source hardware, have led people back to the language that maps more efficiently to machine instructions. Through interviews with a dozen technology leaders, educators, makers, and embedded software developers, you'll learn about many examples that demonstrate C's ubiquity, especially as the lines between software development and hardware design become less distinct. Embedded software developers who work on devices for Internet of Things find C/C++ indispensable, but so do people who tackle custom hardware projects with Arduino or Raspberry Pi. Pick up a copy of this report and learn how C/C++ enables programmers to extract maximum performance from the underlying hardware resources-especially in situations where you need real-time performance.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed December 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492048787/?ar
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  • 10
    Online Resource
    Online Resource
    What are conversational bots? : an introduction to and overview of AI-driven chatbots (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Artificial intelligence ; User interfaces (Computer systems) ; Application software ; Development ; Mobile apps ; Human-computer interaction ; Electronic books ; Electronic books ; local
    Abstract: Artificial intelligence has made enormous progress in the last five years, and after a decade of texting and messaging on smartphones, people have become comfortable with conversational interfaces. Put together, those two trends mean we'll soon be chatting with conversational bots: intelligent software designed to make you feel as though you're talking to a real person. Chatbots are able to automate human tasks by translating fluidly between unstructured language and structured data. Imagine a customer service chat via instant message, email, or voice where the bot has answers before you can ask the question. In this report, authors Jon Bruner and Mike Barlow examine the promise of chatbots, as well as the challenges they face. Driven by recent advances in artificial intelligence (AI), chatbots have a bright future in customer relations, healthcare, games and entertainment, and worker productivity (picture a bot as your personal assistant). Microsoft CEO Satya Nadella recently declared that, "bots are the new apps." Browse this report and explore today's emerging chatbot landscape, including: Why chatbots now? -Understand the factors behind the rise of bots, some of their use cases, and questions still to be answered. Messaging platforms/frameworks for bots -Amazon Alexa, Apple Siri, Facebook Messenger, Google Now and Google Assistant, Microsoft Bot Framework, and more AI Platforms and Frameworks for bots -Api.ai, Google TensorFlow, IBM Watson Conversation, Wit.ai, and scikit-learn Real-world examples -Burger King, Fidelity Investments, Amtrak, Cobalt (CRM), Troops, and more
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed December 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492042808/?ar
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  • 11
    Online Resource
    Online Resource
    AI and medicine : data-driven strategies for improving healthcare and saving lives (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Artificial intelligence ; Medical applications ; Medical informatics ; Electronic books ; Electronic books ; local
    Abstract: Data-driven techniques have improved decision-making processes for people in industries such as finance and real estate. Yet, despite promising solutions that data analytics and artificial intelligence/machine learning (ML) tools can bring to healthcare, the industry remains largely unconvinced. In this O'Reilly report, you'll explore the potential of-and impediments to-widespread adoption of AI and ML in the medical field. You'll also learn how extensive government regulation and resistance from the medical community have so far stymied full-scale acceptance of sophisticated data analytics in healthcare. Through interviews with several professionals working at the intersection of medicine and data science, author Mike Barlow examines five areas where the application of AI/ML strategies can spur a beneficial revolution in healthcare: Identifying risks and interventions for healthcare management of entire populations Closing gaps in care by designing plans for individual patients Supporting customized self-care treatment plans and monitoring patient health in real time Optimizing healthcare processes through data analysis to improve care and reduce costs Helping doctors and patients choose proper medications, dosages, and promising surgical options
    Note: Description based on online resource; title from title page (Safari, viewed December 12, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492048954/?ar
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  • 12
    Online Resource
    Online Resource
    Patrolling the dark net : what you don't know will hurt you (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Internet ; Internet ; Moral and ethical aspects ; Computer crimes ; Investigation ; Electronic books ; Electronic books ; local
    Abstract: Just beneath the very busy, public Web is a shadowy realm largely untouched by search engines. This is the dark net-a hidden place where individuals and groups seek anonymity. It provides sanctuary for people living under authoritarian regimes, consumers tired of being treated as digital marketing assets, and cyber criminals looking to infiltrate corporate networks undetected. In this O'Reilly report, authors Greg Fell and Mike Barlow explore both the benign and malevolent activities of the dark net (and the dark Web). For people who want to control their digital identities, new email servers and browsers ensure privacy. But for criminals, the dark net is an ideal place to steal and store vital information with impunity. Learn about the surprising origin of the dark net, and find out how you can patrol this not-so-secret domain to detect and thwart intruders.
    Note: Description based on online resource; title from title page (Safari, viewed June 11, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492042709/?ar
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  • 13
    Online Resource
    Online Resource
    Who are the bad guys and what do they want? (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustration
    Edition: First edition.
    Keywords: Computer crimes ; Computer security ; Electronic books ; Electronic books ; local
    Abstract: Recent breaches at the Internal Revenue Service are a stark reminder that cyber crime is alive and well. According to Center for Strategic and International Studies, cyber crime and cyber espionage cost the global economy between $375 billion and $575 billion annually, or roughly 1% of global income. So who are those guys and what do they want? Based on interviews with several cyber security experts, this O'Reilly report provides a concise and highly informative look into various actors who populate this murky world. You'll explore some of their methods and motivations, as well as new approaches from the both US government and private sector to help organizations manage cyber security more aggressively. The threat from international criminals, state-sponsored hackers, terrorists, mischievous students, and even coworkers is continuing unabated. Get a copy of this report and find out what your organization can do to deal with this ongoing threat.
    Note: Description based on online resource; title from title page (viewed February 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492042464/?ar
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  • 14
    Online Resource
    Online Resource
    Are your networks ready for the IoT? (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Internet of things ; Computer networks ; Electronic books ; Electronic books ; local
    Abstract: Data traffic has increased roughly 60 percent annually over the past two decades, according to one estimate. But that's nothing compared to the Internet of Things, a network of billions of "chatty machines" that will soon produce vast amounts of additional data. How prepared is your organization to handle the traffic expected from all your smart machines and sensors? In this O'Reilly report, Mike Barlow interviews several industry experts about the challenges and opportunities that businesses, organizations, and individuals in every sector of the economy will face in the next few years. Barlow explores options that include edge computing (running analytics at or near devices and machines), upgrading last-mile network links, working with software-defined networks (SDNs), and looking at solutions from the emerging smart city movement. If your organization is involved with the nascent IoT or its larger cousin, the Industrial Internet, this is one report you can't afford to ignore.
    Note: Description based on online resource; title from title page (viewed February 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492042358/?ar
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  • 15
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    Governing the IoT : balancing risk and regulation (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781491932858 , 1491932856
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Internet of things ; Internet of things ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Soon enough, the Internet of Things will play a dominant role in the economies of countries and regions around the globe. Many players are already involved, but so far no single company, agency, or department can be held accountable if (and when) things go wrong. Simply put, today's IoT is like Dodge City in the Old West before the U.S. Marshals arrived. In this report, Mike Barlow examines what it will take to enact a set of realistic rules-including frameworks, policies, standards, and common procedures-for governing the IoT. You'll look at five broad and challenging areas: cyber security, privacy, software licensing, data use and ownership, and government regulation. There's no shortage of models for an IoT governance framework, and the case for developing a set of common standards is strong. But implementation challenges, fixed mindsets, and stubborn attitudes are standing in the way.
    Note: Description based on online resource; title from title page (viewed January 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049913/?ar
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  • 16
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    Streaming architecture : new designs using Apache Kafka and MapR streams (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Streaming technology (Telecommunications) ; Electronic books ; Electronic books ; local
    Abstract: More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you'll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm. Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases. Ideal for developers and non-technical people alike, this book describes: Key elements in good design for streaming analytics, focusing on the essential characteristics of the messaging layer New messaging technologies, including Apache Kafka and MapR Streams, with links to sample code Technology choices for streaming analytics: Apache Spark Streaming, Apache Flink, Apache Storm, and Apache Apex How stream-based architectures are helpful to support microservices Specific use cases such as fraud detection and geo-distributed data streams Ted Dunning is Chief Applications Architect at MapR Technologies, and active in the open source community. He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projects, and as committer and PMC member of the Apache ZooKeeper and Drill projects. Ted is on Twitter as ted_dunning. Ellen Friedman, a committer for the Apache Drill and Apache Mahout projects, is a solutions consultant and well-known speaker and author, currently writing mainly about big data topics. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics. Ellen is on Twitter as @Ellen_Friedman.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 20, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781491953914/?ar
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  • 17
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    Not all data is created equal : balancing risk and reward in a data-driven economy (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Data mining ; Database searching ; Electronic books ; Electronic books ; local
    Abstract: Though data is increasingly seen as a source of power and wealth, very few organizations today realize what they have. Companies collect an astonishing volume and variety of data, but most of them lack the skills and experience needed to identify and gauge the value of these assets. And so they tend to give all of their data equal weight. In this O'Reilly report, Greg Fell and Mike Barlow examine the risks and financial costs organizations face when they treat all data equally. Through interviews with several industry experts, you'll get advice for determining the value of the data you collect, depending on who in your company is using it, how and where it's being used, and when and why they're using it. Pick up a copy of this report to learn the "5Ws and 1H" of data usage, the C-I-A (confidentiality, integrity, and availability) approach for managing data risk, seven core strategies for monetizing data, and a method for mapping the risk/reward tradeoffs of your data.
    Note: Description based on online resource; title from title page (viewed January 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049937/?ar
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  • 18
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    Ambient computing : how invisible hardware, self-starting apps, and nonstop surveillance reshape our public and private lives (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Ambient intelligence ; Human-computer interaction ; Computers ; Electronic books ; Electronic books ; local
    Abstract: Consider this scenario: You walk into a building and a sensor identifies you through your mobile phone. You then receive a welcoming text telling you when lunch will be served, or perhaps a health warning based on allergy information you've stored in your profile. Maybe you'll be flagged as a security threat. How is that possible? This O'Reilly report explores ambient computing-hands-free, 24/7 wireless connectivity to hardware, data, and IT systems. Enabling that scenario requires a lot of work behind the scenes to determine network connectivity, device security, and personal privacy. With an ambient-computing technology stack already in the works, resolving those issues is only a matter of time. Through interviews with front-line tech pioneers-including Ari Gesher (Kairos Aerospace) and Matthew Gast (Aerohive Networks)-author Mike Barlow explores how real-time analytics can enable real-time decision making. How will simple beacons broadcast information to your phone as you pass businesses on your morning walk? How can emotional speech analysis monitor the emotional state of employees, students, or people in crowds? Pick up this report and find out.
    Note: Description based on online resource; title from title page (Safari, viewed December 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492048510/?ar
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  • 19
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    Smart cities, smarter citizens : connected technology transforms living and working (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Smart cities ; Internet of things ; Municipal engineering ; Technological innovations ; Decision making ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: The smart city movement is on a roll. Companies such as GE, Cisco, IBM, and Siemens are looking to transform major cities through advanced computer technologies, sensors, high-speed data networks, predictive analytics, big data, and the IoT. But, as Mike Barlow explains in this O'Reilly report, the story goes beyond technology. Citizens, too, will need to play a large role in turning cities into smart, livable environments. According to a United Nations report, by 2050 two-thirds of humanity will live in more than 40 mega-cities of 10 million people each. All of them will need to determine how to deliver more services with fewer resources. Cities will have to improve efficiency and reduce expenditures wherever possible, through new technologies and other means. To create a thriving environment where innovation can blossom, citizens will not only be called upon to generate much of the data, but they'll also need to be at the center of decision-making, based on what that data reveals. Download this report today, and learn about the progress that various groups and organizations have already made in major cities around the world, and what lies ahead for all of us.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 8, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492048367/?ar
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    Evolving infrastructure of the industrial IoT : the rise of smart machines in the new internet economy (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Internet of things ; Electronic books ; Electronic books ; local
    Abstract: Ambitious plans are underway to create the Industrial Internet, but as this O'Reilly report explains, the attempt to marry the Internet with the world's industrial platforms faces significant challenges that resist easy solutions. This cyber-physical coupling is like trying to engineer a complex new life form, using pre-existing parts that weren't designed to work together. But there is progress. Author Mike Barlow explores how groups such as the Industrial Internet Consortium and the Global City Teams Challenge are working to create a firm structure for the Industrial Internet that includes rules and principles, rather than repeating the serendipitous nature of the Internet. The Industrial Internet isn't just another tech fad. It's the beginning of a new chapter in human history. Will it advance the dream of universal prosperity, or quickly mutate into a chaotic and dangerous "Internet of unsafe things?" Pick up this free report and learn how industrial groups are working to make this dream come true.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed December 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492048770/?ar
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  • 21
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    Data and social good : using data science to improve lives, fight injustice, and support democracy (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Electronic data processing ; Moral and ethical aspects ; Machine learning ; Big data ; Humanitarianism ; Electronic books ; Electronic books ; local
    Abstract: Data may indeed be the "new oil"-a seemingly inexhaustible source of fuel for spectacular economic growth-but it's also a valuable resource for humanitarian groups looking to improve and protect the lives of less fortunate people. In this O'Reilly report, you'll learn how statisticians and data scientists are volunteering their time to help a variety of nonprofit organizations around the world. Mike Barlow cites several examples of how data and the work of data scientists have made a measurable impact on organizations such as DataKind, a group that connects socially minded data scientists with organizations working to address critical humanitarian issues. There's certainly no lack of demand for data science services among nonprofits today, because these organizations, too, realize the potential of data for changing people's fortunes.
    Note: Description based on online resource; title from title page (Safari, viewed January 7, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492048213/?ar
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  • 22
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    Predictive maintenance : a world of zero unplanned downtime (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Information technology ; Management ; Machine learning ; Electronic digital computers ; Maintenance and repair ; Electronic books ; Electronic books ; local
    Abstract: Predictive maintenance isn't a new idea. For decades, people in heavy industry have dreamt of eliminating costly machine breakdowns and unplanned system downtime. Now that the data revolution has finally made predictive maintenance feasible, the possibilities seem endless. This O'Reilly report examines how the combination of advanced analytics, low-cost sensors, and the IoT promises to elevate maintenance from a cost center to a profit center. Through interviews with several industry experts, award-winning journalist Mike Barlow reveals that predictive maintenance is more than merely a tool or solution- it's an integrated business strategy. Plant managers can run equipment longer at less cost, VPs can optimize operations in general, and C-suite executives can turn those efficiencies into market advantages and real profits. Many IT, manufacturing, healthcare, and energy firms already practice predictive maintenance, but companies in other industries need time and expertise to pursue the large-scale data collection, advanced analysis, machine learning, and automation required to make it work. This report explores the possible rewards and caveats of this innovative model. Mike Barlow is an award-winning journalist, author, communications strategy consultant, and cofounder of Cumulus Partners.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 7, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492048183/?ar
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  • 23
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    The last mile of analytics (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Decision making ; Data processing ; Machine learning ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Here's the net takeaway: Businesses want insights from data they can translate into meaningful actions and real results. Software vendors are beginning to deliver a new generation of advanced analytics packages that address business issues directly. In this O'Reilly report, Mike Barlow reveals how this new user-friendly software is helping businesses go beyond data analysis and straight to decision-making-without requiring data science expertise or truckloads of cash. How has advanced analytics progressed from lab project to commercial product so quickly? Through interviews with data analysts, you'll understand the role that machine learning plays in specialized analytics packages, and how this software alone can make decisions based on what's likely to happen next. When you have these capabilities, you've reached "the last mile of analytics."
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 7, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492048084/?ar
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  • 24
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    Real-world Hadoop (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Apache Hadoop ; Electronic data processing ; Distributed processing ; File organization (Computer science) ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: If you're a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning and Ellen Friedman show Hadoop newcomers and seasoned users alike how NoSQL databases and Hadoop can solve a variety of business and research issues. You'll learn about early decisions and pre-planning that can make the process easier and more productive. If you're already using these technologies, you'll discover ways to gain the full range of benefits possible with Hadoop. While you don't need a deep technical background to get started, this book does provide expert guidance to help managers, architects, and practitioners succeed with their Hadoop projects. Examine a day in the life of big data: India's ambitious Aadhaar project Review tools in the Hadoop ecosystem such as Apache's Spark, Storm, and Drill to learn how they can help you Pick up a collection of technical and strategic tips that have helped others succeed with Hadoop Learn from several prototypical Hadoop use cases, based on how organizations have actually applied the technology Explore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production Ted Dunning is Chief Applications Architect at MapR Technologies, and committer and PMC member of the Apache's Drill, Storm, Mahout, and ZooKeeper projects. He is also mentor for Apache's Datafu, Kylin, Zeppelin, Calcite, and Samoa projects. Ellen Friedman is a solutions consultant, speaker, and author, writing mainly about big data topics. She is a committer for the Apache Mahout project and a contributor to the Apache Drill project.
    Note: Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9781491928899/?ar
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  • 25
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    Creating functional teams for the IoT : hardware, software, and manufacturing collaboration (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Teams in the workplace ; Internet of things ; Electronic books ; Electronic books ; local
    Abstract: description coming later
    Note: Description based on online resource; title from title page (viewed October 18, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781491975619/?ar
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  • 26
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    Sharing big data safely : managing data security (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Security measures ; Data protection ; Electronic books ; Electronic books ; local
    Abstract: Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (viewed January 13, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781491953624/?ar
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  • 27
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    Time series databases : new ways to store and access data (2014)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Time-series analysis ; Data processing ; Information storage and retrieval systems ; Electronic books ; Electronic books ; local
    Abstract: Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You'll explore the theory behind time series databases and learn practical methods for implementing them. Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 5, 2015)
    URL: https://learning.oreilly.com/library/view/-/9781491920909/?ar
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  • 28
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    When hardware meets software : how the Internet of Things transforms design and manufacturing (2014)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Internet of things ; Computer software ; Computer input-output equipment ; Electronic books ; Electronic books ; local
    Abstract: Is the Internet the frontend of a new industrial age? The Internet is rapidly transforming from a simple network of humans with computers into the backbone of a new industrial society of networked machines that connect with each other to get things done. And nowhere is this revolution more apparent than in consumer hardware. Welcome to the Internet of Solids, where software developers think like product designers, and product designers think more like software developers. In this O'Reilly report, Mike Barlow talks to several industry leaders about the effects of the indie hardware movement, the product innovation taking shape on the factory floors of Shenzhen, China, and GE's vision of an Industrial Internet. This concise report covers: The marriage of hardware and software by a new generation of DIY Makers Why products based on software are giving way to products based on hardware What it takes to free hardware from its physical constraints-without increasing cost How rapid prototyping is making hardware startups look like software startups The (near) future where devices continually share data and make real-time decisions Download this free report and find out to why it is advantageous for students, software engineers, and entrepreneurs to learn how to work with hardware and why hardware people need to look at problems in new ways.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed December 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492048060/?ar
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  • 29
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    Practical machine learning : a new look at anomaly detection (2014)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Keywords: Machine learning ; Anomaly detection (Computer security) ; Electronic books ; Electronic books ; local
    Abstract: Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what "suspects" you're looking for. This O'Reilly report uses practical example to explain how the underlying concepts of anomaly detection work.
    Note: Description based on online resource; title from title page (Safari, viewed Aug. 29, 2014)
    URL: https://learning.oreilly.com/library/view/-/9781491914151/?ar
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    Practical machine learning : innovations in recommendation (2014)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Keywords: Machine learning ; Development ; Machine learning ; Case studies ; Electronic books ; Electronic books ; local
    Abstract: Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings-and demonstrates how even a small-scale development team can design an effective large-scale recommendation system. Apache Mahout committers Ted Dunning and Ellen Friedman walk you through a design that relies on careful simplification. You'll learn how to collect the right data, analyze it with an algorithm from the Mahout library, and then easily deploy the recommender using search technology, such as Apache Solr or Elasticsearch. Powerful and effective, this efficient combination does learning offline and delivers rapid response recommendations in real time. Understand the tradeoffs between simple and complex recommenders Collect user data that tracks user actions-rather than their ratings Predict what a user wants based on behavior by others, using Mahoutfor co-occurrence analysis Use search technology to offer recommendations in real time, complete with item metadata Watch the recommender in action with a music service example Improve your recommender with dithering, multimodal recommendation, and other techniques
    Note: Includes bibliographical references. - Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9781491915707/?ar
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    The changing role of the CIO (2013)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 v.)
    Keywords: Chief information officers ; Electronic books ; Electronic books ; local
    Abstract: Does Big Data represent an existential threat to CIOs? Yes, quite possibly. For the past three decades, corporate CIOs have served primarily as stewards and guardians of IT infrastructure. Big Data -- together with cloud, social and mobile computing -- throws the value of legacy IT infrastructure into question and undermines the traditional authority of CIOs over the systems they have championed. For corporate CIOs, getting comfortable with Big Data will require reaching beyond the traditional comfort zone of IT and learning a new language that combines business, math and behavioral science, with signficantly less emphasis on traditional infrastructure technology than in the past. Will CIOs be ready and willing to make the leap?
    Note: Description based on online resource; title from title page (Safari, viewed Jan. 13, 2014)
    URL: https://learning.oreilly.com/library/view/-/9781491946732/?ar
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