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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : InfiniteSkills
    ISBN: 9781771371209
    Language: English
    Pages: 1 streaming video file (5 hr., 9 min., 30 sec.) , digital, sd., col.
    Keywords: Cloud computing ; Web services ; Electronic videos ; local
    Abstract: "In this Amazon Web Services (AWS) training course, Rich Morrow walks you through utilizing the wide range of Cloud Computing services that Amazon provides. Cloud Computing is fast becoming the standard method of creating scalable, manageable Web Application Services, and Amazon is leading the way. This tutorial will teach you what is available in AWS, and how to use it effectively for your own needs. You will start by learning exactly what Cloud Computing is, and why you should be using it. Rich shows you how to set up your AWS account, and gives you an overview of the services that are available to you. Throughout this video tutorial, you will cover topics such as; creating and managing EC2 instances, using the Elastic Load Balancers, CloudWatch, CloudFormation, S3, RDS and Dynamo. Rich also reviews CloudFront services, ElastiCache, VPC, SNS (Simple Notification Service), SES (Simple Email Service), SQS (Simple Queuing Service) and Route 53. You will finish off by walking through the creation of a 3 tier scalable Web Application using the AWS tools you have learned in this course. Once you have completed this comprehensive AWS video training, you will be fully capable of creating and deploying your own Web Applications using the services provided to you in AWS. You will be familiar with the most important services, and have hands on experience in deploying your own instances using the AWS interface. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from resource description page (viewed Oct. 3, 2013)
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  • 2
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Electronic data processing ; Distributed processing ; Information visualization ; Information technology ; Management ; Business intelligence ; Electronic books ; Electronic books ; local
    Abstract: Fragmented, disparate backend data systems have become the norm in today's enterprise, where you'll find a mix of relational databases, Hadoop stores, and NoSQL engines, with access and analytics tools bolted on every which way. This mishmash of options presents a real challenge when it comes to choosing frontend analytics and visualization tools. How did we get here? In this O'Reilly report, IT veteran Rich Morrow takes you through the rapid changes to both backend storage and frontend analytics over the past decade, and provides a pragmatic list of requirements for an analytics stack that will centralize access to all of these data systems. You'll examine current analytics platforms, including Looker-a new breed of analytics and visualization tools built specifically to handle our fragmented data space. Understand why and how data became so fractured so quickly Explore the tangled web of data and backend tools in today's enterprises Learn the tool requirements for accessing and analyzing the full spectrum of data Examine the relative strengths of popular analytics and visualization tools, including Looker, Tableau, and MicroStrategy Inspect Looker's unique focus on both the frontend and backend
    Note: Description based on online resource; title from title page (Safari, viewed June 13, 2018)
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  • 3
    ISBN: 9781491978641 , 1491978643
    Language: English
    Pages: 1 online resource (1 streaming video file (21 hr., 44 min., 26 sec.)) , digital, sound, color
    Keywords: Internet videos ; Streaming video ; Apache Hadoop ; Spark (Electronic resource : Apache Software Foundation) ; Big data ; Electronic data processing ; Distributed processing ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: "Implementing solutions with Apache Hadoop requires understanding not just Hadoop, but a broad range of related projects within the Hadoop ecosystem. In this Learning Path, you'll discover how to integrate Hadoop components to implement big data solutions through a variety of end-to-end use case studies addressing clickstream analytics, time series problems, and data transfer between Hadoop and relational databases. You'll master techniques for integrating Spark with other key components of the Hadoop ecosystem, including HDFS, YARN, and MapReduce, and gain direct experience integrating Spark and Hadoop through a series of sixteen hands-on labs. In closing, you'll get a glimpse into the latest trends in data infrastructure, in a changing financial industry, through a series of talks from Strata+Hadoop world on next-gen finance."--Resource description page.
    Note: Title and publication information from resource description page (Safari, viewed January 10, 2017)
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : InfiniteSkills
    ISBN: 9781771372374
    Language: English
    Pages: 1 streaming video file (7 hr., 37 min., 7 sec.) , digital, sd., col.
    Keywords: Apache Hadoop ; Electronic data processing ; Distributed processing ; Big data ; Electronic videos ; local
    Abstract: "In this Introduction to Hadoop training course, expert author Rich Morrow will teach you the tools and functions needed to work within this open-source software framework. This course is designed for the absolute beginner, meaning no prior experience with Hadoop is required. You will start out by learning the basics of Hadoop, including the Hadoop run modes and job types and Hadoop in the cloud. You will then learn about the Hadoop distributed file system (HDFS), such as the HDFS architecture, secondary name node, and access controls. This video tutorial will also cover topics including MapReduce, debugging basics, hive and pig basics, and impala fundamentals. Finally, Rich will teach you how to import and export data. Once you have completed this computer based training video, you will be fully capable of using the tools and functions you've learned to work successfully in Hadoop. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from resource description page (Safari, viewed June, 4, 2014)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly
    ISBN: 9781771374125
    Language: English
    Pages: 1 online resource (1 streaming video file (4 hr., 32 min., 10 sec.)) , digital, sound, color.
    Keywords: Amazon.com (Firm) ; Data warehousing ; Cloud computing ; Information retrieval ; Data mining ; Electronic videos ; local
    Abstract: "In this Hands-on with Amazon Redshift training course, expert author Rich Morrow will teach you everything you need to know to be able to work with Redshift. This course is designed for the absolute beginner, meaning no previous knowledge of Amazon Redshift is required. You will start with an introduction to the course, learning what a data warehouse is, the benefits of Redshift, and how Redshift compares to other analytics tools. From there, Rich will teach you the basics of Redshift, including data loading, data distribution concepts, and basic Redshift usage. Finally, this video tutorial will cover advanced topics, such as data loading best practices and tuning query performance. Once you have completed this computer based training course, you will have learned everything you need to know to get started with Amazon Redshift."--Resource description page.
    Note: Title from title screen. - Date of publication from resource description page
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly
    ISBN: 9781491939789
    Language: English
    Pages: 1 online resource (1 streaming video file (51 min., 22 sec.)) , digital, sound, color
    Keywords: Apache Hadoop ; Electronic data processing ; Distributed processing ; Cloud computing ; File organization (Computer science) ; Electronic videos ; local
    Abstract: "In this fast-paced, interactive, info-rich webcast led by Rich Morrow, we'll discuss: the value proposition of Hadoop, common use cases, how to run it on premises and in the cloud via AWS EMR."--Resource description page.
    Note: Title from title screen (viewed, September 29, 2015). - Date of publication from resource description page
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 37 min., 28 sec.)) , digital, sound, color
    Keywords: Internet videos ; Streaming video ; Amazon.com (Firm) ; Web services ; Cloud computing ; Computer network architectures ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video
    Abstract: "If you are new to Amazon Redshift, the AWS cloud data warehousing solution, this Learning Path will teach you everything you need to know to create a data warehouse in the cloud, and start loading and analyzing your own data."--Resource description page.
    Note: Title and publication information from resource description page (Safari, viewed April 26, 2017)
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  • 8
    ISBN: 9781771375658
    Language: English
    Pages: 1 online resource (1 streaming video file (11 hr., 12 min.)) , digital, sound, color
    Keywords: Apache Hadoop ; Spark (Electronic resource : Apache Software Foundation) ; Big data ; Electronic videos ; local
    Abstract: "You're new to Big Data, you've heard about Apache Spark and Apache Hadoop and you want to play. Big Data coach Rich Morrow gets you into the game via sixteen sprints (sixteen hands-on labs) across the Spark-Hadoop ball field. First, you'll create playing areas using Amazon Web Services EMR and Cloudera Quickstart VM. Then you'll install Hadoop, run basic HDFS commands, learn MapReduce, use Flume and Sqoop, run Spark and then run Spark again. You'll play with Spark SQL, learn common MLLib usage, do analysis with Hive, ETL with Pig, and then jog through Hadoop/Cloud use cases, Hbase basics, and enterprise integration. When practice is over, you'll know Spark, it's associated modules, the Hadoop ecosystem, and the when, where, how, and why each technology is used."--Resource description page.
    Note: Title from title screen (viewed June 24, 2016). - Date of publication from resource description page
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