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DEMO - Big Data on Amazon Web Services
DEMO - Big Data on Amazon Web ServicesBig Data Courses |
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| Superadmin | 03.05.17 | 569 | No Rating | |
| Description | ||||
| This course provides a tour through Amazon Web Services' (AWS) Big Data stack components, namely DynamoDB, Elastic MapReduce (EMR), Redshift, Data Pipeline, and Jaspersoft BI on AWS. AWS Kinesis is also discussed. All steps for creating an AWS account, setting up a security key pair and working with AWS Simple Storage Service (S3) are covered as well. Numerous demos are provided, demonstrating interaction through AWS components via Web browser user interfaces, command line, and desktop tools. Introduction 16:50 Introduction Part I 6:53 Introduction Part II 9:56 Overview 11:30 EMR, RedShift, and DynamoDB 6:48 Data Pipeline, Putting It All Together, and Level Set 4:41 AWS Preliminaries27:37 Acronyms 2:27 Getting Set up with AWS 1:53 Account Creation 5:11 Key Pairs 3:27 PuTTY 4:55 S3 Fundamentals 3:13 S3 Browser 5:09 What We've Done 1:18 DynamoDB 30:25 NoSQL 2:48 CAP Theorem 1:40 NoSQL + Big Data 2:12 NoSQL Database Categories 2:05 DynamoDB Concepts 7:02 Demo - Creating DynamoDB Tables 3:46 Viewing Unstructured Data as Structured 2:35 Demo - Adding and Querying DynamoDB Data 8:14 Elastic MapReduce 59:38 EMR Job Flows, What Is Hadoop? 4:48 The Hadoop Stack, EMR Components 3:00 A MapReduce Example 5:24 More on EMR Job Flows 2:05 Demo - Creating and Connecting to an EMR Cluster 6:53 Using MapReduce, HDFS Commands 3:31 Demo - Running a Streaming MapReduce Job 7:25 Hive and Pig 5:08 Demo - Hive 9:23 Demo - Pig 6:19 Demo - Impala 3:32 Shutting Down the Cluster 1:05 Demo - Shutting Down the Cluster 0:59 Redshift26:35 MPP Concepts 4:56 Columnar Concepts, Redshift Fundamentals 6:42 Demo - Cluster Provisioning 3:23 Demo - Connecting to Cluster 1:50 Working with Redshift 3:10 Demo - Queries from SQL Workbench/J 6:31 Data Pipeline 29:21 Data Pipeline Concepts 3:28 Demo - Authoring a Pipeline from a Template 4:24 Demo - Refining, Saving, and Activating the Pipeline 5:13 Executing Pipelines 0:51 Demo - Executing Our Pipeline and Browsing Its Output 2:53 Demo - Authoring a Pipeline from Scratch 5:19 Pipeline Troubleshooting 1:14 Demo - Troubleshooting the Pipeline 5:56 Jaspersoft 23:02 Jaspersoft AWS Overview 5:37 Demo - Provisioning 5:58 Demo - Logging in, Creating Domain 5:38 Demo - Creating Ad Hoc View and Report, De-provisioning 5:46 Epilogue 9:38 Kinesis 5:32 Key Takeaways 4:06 | ||||
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