From the course: Data Engineering on AWS: Data Cataloging, Processing, Analytics, and Visualization
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Amazon Redshift introduction and architecture - Amazon Web Services (AWS) Tutorial
From the course: Data Engineering on AWS: Data Cataloging, Processing, Analytics, and Visualization
Amazon Redshift introduction and architecture
- [Instructor] Amazon Redshift is a powerful data warehousing solution provided by AWS. It allows you to store and analyze large amounts of data, making it a great tool for companies and organizations that need to process large volumes of data quickly. It is designed for high performance and analysis of information, capable of storing and processing petabytes of data, and provide access to this data using your existing business intelligence tools like standard SQL. It operates as a relational database management system, and therefore it is compatible with other RDBMS applications. One of the key features of Redshift is its ability to scale easily. You can start with a small data warehouse and increase its size as your data needs grow. This makes it a flexible solution that can adapt to the changing needs of your business. Redshift is also known for its fast performance. It uses columnar storage and parallel processing…
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Kinesis Analytics overview6m 51s
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Kinesis Analytics demo13m 12s
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Amazon Elasticsearch3m 42s
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Elasticsearch demo6m 11s
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Amazon Athena overview3m 9s
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Amazon Redshift introduction and architecture4m 21s
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Amazon Redshift Spectrum and performance tuning5m 52s
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Demo: Amazon Redshift3m 32s
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Challenge: Read catalog data using Athena35s
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Solution: Read catalog data using Athena4m 10s
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