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Build Your First Big Data Application on AWS

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AWS makes it easy to build and operate a highly scalable and flexible data platforms to collect, process, and analyze data so you can get timely insights and react quickly to new information. In this session, we will demonstrate how you can quickly build a fully managed data platform that transforms, cleans, and analyses incoming data in real time and persist the cleaned data for subsequent visualizations and through exploration by means of SQL. To this end, we will build an end-to-end streaming data solution using Kinesis Data Streams for data ingestion, Kinesis Data Analytics for real-time outlier and hotspot detection, and show how the incoming data can be persisted by means of Kinesis Data Firehose to make it available for Amazon Athena and Amazon QuickSight for data exploration and visualization.

Veröffentlicht in: Technologie
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Build Your First Big Data Application on AWS

  1. 1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Dr. Steffen Hausmann Sr. Solutions Architect, Amazon Web Services Build Your First Big Data Application
  2. 2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Analyzing NYC Taxi Trips Taxi in New York by senhormario / cc by 2.0
  3. 3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Application Architecture Amazon Kinesis Streams Amazon Kinesis Analytics Amazon Kinesis Streams AWS Lambda Amazon CloudWatch Amazon Kinesis Firehose Amazon QuickSight AWS Glue Amazon S3 Amazon Athena Instance
  4. 4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Let’s Go Build!
  5. 5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Application Architecture Amazon Kinesis Streams Amazon Kinesis Analytics Amazon Kinesis Streams AWS Lambda Amazon CloudWatch Amazon Kinesis Firehose Amazon QuickSight AWS Glue Amazon S3 Amazon Athena Instance
  6. 6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Thank you!

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