Big Data on Amazon Web Services
- 收录时间:2018-03-08 15:01:57
- 文件大小:811MB
- 下载次数:96
- 最近下载:2021-01-13 00:47:45
- 磁力链接:
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文件列表
- 05. Elastic MapReduce/09. Demo - Hive.mp4 64MB
- 03. AWS Preliminaries/05. PuTTY.mp4 49MB
- 05. Elastic MapReduce/10. Demo - Pig.mp4 40MB
- 04. DynamoDB/08. Demo - Adding and Querying DynamoDB Data.mp4 35MB
- 07. Data Pipeline/06. Demo - Authoring a Pipeline from Scratch.mp4 31MB
- 05. Elastic MapReduce/07. Demo - Running a Streaming MapReduce Job.mp4 31MB
- 05. Elastic MapReduce/05. Demo - Creating and Connecting to an EMR Cluster.mp4 30MB
- 07. Data Pipeline/03. Demo - Refining, Saving, and Activating the Pipeline.mp4 29MB
- 06. Redshift/06. Demo - Queries from SQL WorkbenchJ.mp4 28MB
- 03. AWS Preliminaries/03. Account Creation.mp4 27MB
- 07. Data Pipeline/02. Demo - Authoring a Pipeline from a Template.mp4 26MB
- 07. Data Pipeline/08. Demo - Troubleshooting the Pipeline.mp4 25MB
- 05. Elastic MapReduce/11. Demo - Impala.mp4 25MB
- 08. Jaspersoft/02. Demo - Provisioning.mp4 24MB
- 03. AWS Preliminaries/07. S3 Browser.mp4 24MB
- 08. Jaspersoft/04. Demo - Creating Ad Hoc View and Report, De-provisioning.mp4 22MB
- 08. Jaspersoft/03. Demo - Logging in, Creating Domain.mp4 21MB
- 06. Redshift/03. Demo - Cluster Provisioning.mp4 19MB
- 01. Introduction/02. Introduction Part II.mp4 17MB
- 04. DynamoDB/06. Demo - Creating DynamoDB Tables.mp4 16MB
- 01. Introduction/01. Introduction Part I.mp4 14MB
- 03. AWS Preliminaries/04. Key Pairs.mp4 13MB
- 03. AWS Preliminaries/06. S3 Fundamentals.mp4 13MB
- 06. Redshift/02. Columnar Concepts, Redshift Fundamentals.mp4 12MB
- 04. DynamoDB/05. DynamoDB Concepts.mp4 12MB
- 02. Overview/01. EMR, RedShift, and DynamoDB.mp4 11MB
- 07. Data Pipeline/05. Demo - Executing Our Pipeline and Browsing Its Output.mp4 11MB
- 06. Redshift/04. Demo - Connecting to Cluster.mp4 10MB
- 05. Elastic MapReduce/03. A MapReduce Example.mp4 10MB
- 08. Jaspersoft/01. Jaspersoft AWS Overview.mp4 9MB
- 06. Redshift/01. MPP Concepts.mp4 9MB
- 09. Epilogue/01. Kinesis.mp4 9MB
- 05. Elastic MapReduce/08. Hive and Pig.mp4 9MB
- 05. Elastic MapReduce/01. EMR Job Flows, What Is Hadoop.mp4 8MB
- 02. Overview/02. Data Pipeline, Putting It All Together, and Level Set.mp4 7MB
- 09. Epilogue/02. Key Takeaways.mp4 6MB
- 05. Elastic MapReduce/06. Using MapReduce, HDFS Commands.mp4 6MB
- 07. Data Pipeline/01. Data Pipeline Concepts.mp4 6MB
- 06. Redshift/05. Working with Redshift.mp4 6MB
- 05. Elastic MapReduce/02. The Hadoop Stack, EMR Components.mp4 5MB
- 04. DynamoDB/01. NoSQL.mp4 5MB
- 03. AWS Preliminaries/01. Acronyms.mp4 4MB
- 04. DynamoDB/07. Viewing Unstructured Data as Structured.mp4 4MB
- 05. Elastic MapReduce/04. More on EMR Job Flows.mp4 4MB
- 03. AWS Preliminaries/02. Getting Set up with AWS.mp4 3MB
- 04. DynamoDB/04. NoSQL Database Categories.mp4 3MB
- 04. DynamoDB/03. NoSQL + Big Data.mp4 3MB
- 05. Elastic MapReduce/13. Demo - Shutting Down the Cluster.mp4 3MB
- 04. DynamoDB/02. CAP Theorem.mp4 3MB
- 03. AWS Preliminaries/08. What We've Done.mp4 2MB
- 07. Data Pipeline/07. Pipeline Troubleshooting.mp4 2MB
- 05. Elastic MapReduce/12. Shutting Down the Cluster.mp4 2MB
- 07. Data Pipeline/04. Executing Pipelines.mp4 1MB