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  • 2015-2019  (11)
  • Mailund, Thomas  (5)
  • Carter, Peter A.  (3)
  • Kelsey, Todd  (3)
  • [Place of publication not identified] : Apress  (11)
  • Electronic books ; local  (11)
  • Web search engines
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  • 2015-2019  (11)
Year
  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    ISBN: 9781484235881
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Domain-specific programming languages ; Electronic books ; local ; Electronic books
    Abstract: Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you'll learn to specify tasks you want to do in a precise way and achieve programming goals within a domain-specific context. Domain-Specific Languages in R includes examples of DSLs including large data sets or matrix multiplication; pattern matching DSLs for application in computer vision; and DSLs for continuous time Markov chains and their applications in data science. After reading and using this book, you'll understand how to write DSLs in R and have skills you can extrapolate to other programming languages. What You'll Learn Program with domain-specific languages using R Discover the components of DSLs Carry out large matrix expressions and multiplications Implement metaprogramming with DSLs Parse and manipulate expressions Who This Book Is For Those with prior programming experience. R knowledge is helpful but not required.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed July 18, 2018)
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  • 2
    ISBN: 9781484239018
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SQL server ; Data types (Computer science) ; JSON (Document markup language) ; XML (Document markup language) ; Electronic books ; local ; Electronic books
    Abstract: Deliver advanced functionality faster and cheaper by exploiting SQL Server's ever-growing amount of built-in support for modern data formats. Learn about the growing support within SQL Server for operations and data transformations that have previously required third-party software and all the associated licensing and development costs. Benefit through a better understanding of what can be done inside the database engine with no additional costs or development time invested in outside software. Widely used types such as JSON and XML are well-supported by the database engine. The same is true of hierarchical data and even temporal data. Knowledge of these advanced types is crucial to unleashing the full power that's available from your organization's SQL Server database investment. SQL Server Advanced Data Types explores each of the complex data types supplied within SQL Server. Common usage scenarios for each complex data type are discussed, followed by a detailed discussion on how to work with each data type. Each chapter demystifies the complex data and you learn how to use the data types most efficiently. The book offers a practical guide to working with complex data, using real-world examples to demonstrate how each data type can be leveraged. Performance considerations are also discussed, including the implementation of special indexes such as XML indexes and spatial indexes. What You'll Learn Understand the implementation of basic data types and why using the correct type is so important Work with XML data through the XML data type Construct XML data from relational result sets Store and manipulate JSON data using the JSON data type Model and analyze spatial data for geographic information systems Define hierarchies and query them efficiently through the HierarchyID type Who This Book Is For SQL Server developers and application developers who need to store and access complex data structures
    Note: Description based on online resource; title from cover (Safari, viewed September 17, 2018)
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  • 3
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Computer programming ; Mathematical statistics ; Electronic books ; Electronic books ; local
    Abstract: Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a very high-level language where all operations are functions and all functions are data that can be manipulated. This book shows you how to leverage R's natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself. What You'll Learn Find out about the anatomy of a function in R Look inside a function call Work with R expressions and environments Manipulate expressions in R Use substitutions Who This Book Is For Those with at least some experience with R and certainly for those with experience in other programming languages
    Note: Description based on online resource; title from cover page (Safari, viewed September 29, 2017)
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  • 4
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Quantitative research ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. What You Will Learn Perform data science and analytics using statistics and the R programming language Visualize and explore data, including working with large data sets found in big data Build an R package Test and check your code Practice version control Profile and optimize your code Who This Book Is For Those with some data science or analytics background, but not necessarily experience with the R programming language.
    Note: Description based on online resource; title from cover (Safari, viewed April 18, 2017)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Google Analytics ; Web usage mining ; Internet users ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Develop your digital/online marketing skills and learn web analytics to understand the performance of websites and ad campaigns. Approaches covered will be immediately useful for business or nonprofit organizations. If you are completely new to Google Analytics and you want to learn the basics, this guide will introduce you to the content quickly. Web analytics is critical to online marketers as they seek to track return on investment and optimize their websites. Introduction to Google Analytics covers the basics of Google Analytics, starting with creating a blog, and monitoring the number of people who see the blog posts and where they come from. What You'll Learn Understand basic techniques to generate traffic for a blog or website Review the performance of a website or campaign Set up a Shopify account to track ROI Create and maximize AdWords to track conversion Discover opportunities offered by Google, including the Google Individual Qualification Who This Book Is For Those who need to get up to speed on Google Analytics tools and techniques for business or personal use. This book is also suitable as a student reference.
    Note: Description based on online resource; title from title page (Safari, viewed September 29, 2017)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Functional programming (Computer science) ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you'll write functions that manipulate other functions, and you'll construct complex functions using simpler functions as building blocks. In Functional Programming in R , you'll see how we can replace loops, which can have side-effects, with recursive functions that can more easily avoid them. In addition, the book covers why you shouldn't use recursion when loops are more efficient and how you can get the best of both worlds. Functional programming is a style of programming, like object-oriented programming, but one that focuses on data transformations and calculations rather than objects and state. Where in object-oriented programming you model your programs by describing which states an object can be in and how methods will reveal or modify that state, in functional programming you model programs by describing how functions translate input data to output data. Functions themselves are considered to be data you can manipulate and much of the strength of functional programming comes from manipulating functions; that is, building more complex functions by combining simpler functions. What You'll Learn Write functions in R including infix operators and replacement functions Create higher order functions Pass functions to other functions and start using functions as data you can manipulate Use Filer, Map and Reduce functions to express the intent behind code clearly and safely Build new functions from existing functions without necessarily writing any new functions, using point-free programming Create functions that carry data along with them Who This Book Is For Those with at least some experience with programming in R.
    Note: Description based on online resource; title from cover (Safari, viewed April 18, 2017)
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  • 7
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Object-oriented programming (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then be able to use this powerful programming style in your own statistical programming projects to write flexible and extendable software. After reading Advanced Object-Oriented Programming in R , you'll come away with a practical project that you can reuse in your own analytics coding endeavors. You'll then be able to visualize your data as objects that have state and then manipulate those objects with polymorphic or generic methods. Your projects will benefit from the high degree of flexibility provided by polymorphism, where the choice of concrete method to execute depends on the type of data being manipulated. What You'll Learn Define and use classes and generic functions using R Work with the R class hierarchies Benefit from implementation reuse Handle operator overloading Apply the S4 and R6 classes Who This Book Is For Experienced programmers and for those with at least some prior experience with R programming language.
    Note: Description based on online resource; title from cover (Safari, viewed September 29, 2017)
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Internet marketing ; Online social networks ; Economic aspects ; Social media ; Economic aspects ; Electronic books ; Electronic books ; local
    Abstract: Easily understand the most important tools and skills in social media marketing. You'll be exposed to Facebook pages and ads, work with Twitter and LinkedIn, save time with Hootsuite, and learn social media monitoring. If you are completely new to social media marketing and you want to learn the basics, this guide will introduce you to the content quickly. Introduction to Social Media Marketing has a particular focus on ROI (return on investment), to help you think critically about the value social media could bring a business or organization. You'll explore the question of whether or not it's worth it to invest time and money in each social media channel. What You'll Learn Understand basic functions for most social media tools, including how to get up and running See the benefits of social media tools and which one you should use for specific purposes Calculate the real ROI expected from using specific tools Utilize social media monitoring and analytics Who This Book Is For Those who need to get up to speed on a broad range of social media tools and techniques for business or personal use. This book is also suitable as a student reference.
    Note: Description based on online resource; title from cover page (Safari, viewed September 29, 2017)
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web search engines ; Internet searching ; Internet marketing ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Abstract: Don't be intimidated by all the search engine optimization (SEO) tools out there. You will start out learning about keywords and the importance of quality content and then walk through incremental steps as you try out the tools and master the tips and strategies. If you are completely new to search engine optimization and you want to learn the basics, this guide will introduce you to the content quickly. Introduction to Search Engine Optimization is a detailed guide to the most important tools and skills needed to accurately and effectively utilize search engine optimization. This book covers SEO basics, keyword research, SEO ranking and analytics, Google Analytics, and more. It also includes an overview of how to pursue SEO-related certifications. What You'll Learn Create a content platform, including blogs and YouTube channels Use keywords to maximize findability and increase search volume Check your SEO rank and other analytics Hunt for duplicate content Set up Google Analytics, including Blogger Utilize Indexing and Webmaster tools/search console Who This Book Is For Those who need to get up to speed on search engine optimization tools and techniques for business or personal use. This book is also suitable as a student reference.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed November 12, 2018)
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  • 10
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: The expert's voice in SQL server
    Keywords: SQL server ; SQL (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Automate your workload and manage more databases and instances with greater ease and efficiency by combining metadata-driven automation with powerful tools like PowerShell and SQL Server Agent. Automate your new instance-builds and use monitoring to drive ongoing automation, with the help of an inventory database and a management data warehouse. The market has seen a trend towards there being a much smaller ratio of DBAs to SQL Server instances. Automation is the key to responding to this challenge and continuing to run a reliable database platform service. Expert Scripting and Automation for SQL Server DBAs guides you through the process of automating the maintenance of your SQL Server enterprise. Expert Scripting and Automation for SQL Server DBAs shows how to automate the SQL Server build processes, monitor multiple instances from a single location, and automate routine maintenance tasks throughout your environment. You will also learn how to create automated responses to common or time consuming break/fix scenarios. The book helps you become faster and better at what you do for a living, and thus more valuable in the job market. Extensive coverage of automation using PowerShell and T-SQL Detailed discussion and examples on metadata-driven automation Comprehensive coverage of automated responses to break/fix scenarios What You Will Learn Automate the SQL Server build process Create intelligent, metadata-drive routines Automate common maintenance tasks Create automated responses to common break/fix scenarios Monitor multiple instance from a central location Utilize T-SQL and PowerShell for administrative purposes Who This Book Is For Expert Scripting and Automation for SQL Server DBAs is a book for SQL Server database administrators responsible for managing increasingly large numbers of databases across their business enterprise. The book is also useful for any database administrator looking to ease their workload through automation. The book addresses the needs of these audiences by showing how to get more done through less effort by implementing an intelligent, automated-processes service model using tools such as T-SQL, PowerShell, Server Agent, and the Management Data Warehouse.
    Note: Includes index. - Description based on online resource; title from cover (Safari, viewed September 19, 2016)
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  • 11
    Online Resource
    Online Resource
    [Place of publication not identified] : Apress
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: The expert's voice in SQL
    Keywords: SQL server ; Database security ; Electronic books ; Electronic books ; local
    Abstract: Protect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy, performing threat analysis, and encrypting sensitive data as a last line of defense against compromise. The multi-layered approach in this book helps ensure that a single breach doesn't lead to loss or compromise of your data that is confidential and important to the business. Database professionals in today's world deal increasingly often with repeated data attacks against high-profile organizations and sensitive data. It is more important than ever to keep your company's data secure. Securing SQL Server demonstrates how administrators and developers can both play their part in the protection of a SQL Server environment. This book provides a comprehensive technical guide to the security model, and to encryption within SQL Server, including coverage of the latest security technologies such as Always Encrypted, Dynamic Data Masking, and Row Level Security. Most importantly, the book gives practical advice and engaging examples on how to defend your data -- and ultimately your job! -- against attack and compromise. Covers the latest security technologies, including Always Encrypted, Dynamic Data Masking, and Row Level Security Promotes security best-practice and strategies for defense-in-depth of business-critical database assets Gives advice on performing threat analysis and reducing the attack surface that your database presents to the outside world What You Will Learn Perform threat analysis Implement access level control and data encryption Avoid non-reputability by implementing comprehensive auditing Use security metadata to ensure your security policies are enforced Apply the latest SQL Server technologies to increase data security Mitigate the risk of credentials being stolen Who This Book Is For SQL Server database administrators who need to understand and counteract the threat of attacks against their company's data. The book is also of interest to database administrators of other platforms, as several of the attack techniques are easily generalized beyond SQL Server and to other database brands.
    Note: Description based on online resource; title from cover (Safari, viewed November 22, 2016)
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