Scalable Data Architectures: Using Amazon Redshift & QuickSight
Data Architecture
| Beginner
- 12 videos | 1h 17m 37s
- Includes Assessment
- Earns a Badge
In this 12-video course, explore the loading of data from an external source such as Amazon S3 into a Redshift cluster, as well as configuration of snapshots and resizing of clusters. Discover how to use Amazon QuickSight to visualize data. Key concepts covered in this course include using the AWS console to load data sets to Amazon S3 and then into a table provisioned on a Redshift cluster; running queries on data in a Redshift cluster with the query evaluation feature; and working with SQL Workbench to connect to and query data in a Redshift cluster. Learn how to disable automated snapshots for a Redshift cluster and configure a table to be excluded from snapshots; recover an individual table from the snapshot of an entire cluster; and create a security group rule enabling access from Amazon's QuickSight servers to a Redshift cluster. Next, configure Amazon QuickSight to load data from a table in a Redshift cluster for analysis; and use the QuickSight dashboard to generate a time series plot to visualize sales at a retailer over time.
WHAT YOU WILL LEARN
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Use the aws console to load datasets to amazon s3 and then load that data into a table provisioned on a redshift clusterRun queries on data in a redshift cluster and use the query evaluation feature to analyze the query execution metricsWork with the sql workbench client to connect to and query data in a redshift clusterDisable automated snapshots for a redshift cluster and configure a table to be excluded from snapshotsRecover an individual table from the snapshot of an entire clusterAdd more nodes to a redshift cluster
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Scale up each individual node of a redshift cluster and scale down the number of nodesCreate a security group rule to enable access from amazon's quicksight servers to a redshift clusterConfigure amazon quicksight to load data from a table in a redshift cluster for analysisUse the quicksight dashboard to generate a time series plot to visualize sales at a retailer over timeConfigure snapshots of redshift clusters and recall the steps involved in analyzing data in redshift using quicksight
IN THIS COURSE
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2m 49s
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8m 28sLearn how to use the AWS console to load datasets to Amazon S3 and then load that data into a table on a Redshift cluster. FREE ACCESS
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4m 58sDuring this video, you will learn how to run queries on data in a Redshift cluster and use the query evaluation feature to analyze query execution metrics. FREE ACCESS
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9m 5sIn this video, you will work with the SQL Workbench client to connect to and query data in a Redshift cluster. FREE ACCESS
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8m 57sIn this video, you will learn how to disable automated snapshots for a Redshift cluster and configure a table to be excluded from snapshots. FREE ACCESS
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7m 47sLearn how to recover an individual table from a snapshot of an entire cluster. FREE ACCESS
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8m 44sIn this video, you will learn how to add more nodes to a Redshift cluster. FREE ACCESS
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3m 37sTo scale up each individual node of a Redshift cluster, find out how to scale down the number of nodes. FREE ACCESS
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8m 38sIn this video, you will learn how to create a security group rule to enable access from Amazon's QuickSight servers to a Redshift cluster. FREE ACCESS
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5m 30sIn this video, you will learn how to configure Amazon QuickSight to load data from a table in a Redshift cluster for analysis. FREE ACCESS
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3m 50sIn this video, you'll learn how to use the QuickSight dashboard to generate a time series plot to visualize sales at a retailer over time. FREE ACCESS
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5m 16sIn this video, you will learn how to configure snapshots of Redshift clusters and recall the steps involved in analyzing data in Redshift using QuickSight. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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