Data Lake Sources, Visualizations, & ETL Operations
Amazon Web Services 2019
| Expert
- 13 Videos | 1h 27m 53s
- Includes Assessment
- Earns a Badge
This course discusses the transition of data warehousing to cloud-based solutions using the AWS (Amazon Web Services) cloud platform. You will explore Amazon Redshift, a fully managed petabyte-scale data warehouse service which forms part of the larger AWS cloud-computing platform. The 12-video course demonstrates how to create and configure an Amazon Redshift cluster; to load data into it from an S3 (simple storage service) bucket; and configure a Glue crawler for stored data. This course examines how to visualize the data stored in the data lake and how to perform ETL (extract, transform, load) operations on the data using Glue scripts. You will work with the DynamoDB, a NoSQL database service that supports key-value and document data structures. You will learn how to use AWS QuickSight, a high-performance business intelligence service which integrates seamlessly with Glue tables by using the Amazon Athena Query Service. Finally, you will configure jobs to run extract, transform, and load operations on data stored in our data lake.
WHAT YOU WILL LEARN
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configure a Redshift cluster to store dataload data into a Redshift cluster from S3 bucketsconfigure a JDBC connection on Glue to the Redshift clustercrawl data on a Redshift cluster using a Glue crawlercrawl data stored in a DynamoDB tableconfigure the Amazon QuickSight business intelligence tool to visualize data
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build charts and dashboards in QuickSightdefine a job in Glue to perform ETL operationsrun ETL scripts using Glueperform ETL operations in Glue to backup data originally stored in Redshiftperform ETL operations in Glue to backup data originally stored in DynamoDBrecall how to use AWS services for visualizations and ETL
IN THIS COURSE
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1.Course Overview2m 3sUP NEXT
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2.Set Up a Redshift Cluster9m 8s
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3.Create Tables and Load Data From S37m 38s
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4.Establish a JDBC Connection to Redshift7m 31s
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5.Crawl Redshift Using a JDBC Connection5m 45s
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6.Crawl DynamoDB7m 53s
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7.Configure QuickSight to Visualize Data4m 33s
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8.Visualize Data in QuickSight8m 47s
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9.Configure a Job to Perform Extract, Transform, Load6m 21s
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10.Execute an ETL Operation in Glue6m 43s
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11.Perform ETL to Back Up Redshift Data in S3 Buckets8m 31s
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12.Perform ETL to Back Up DynamoDB Data in S3 Buckets7m 48s
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13.Exercise: Multiple Sources, Visualizations, and ETL5m 12s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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