SEMINAR
Building Data Lakes on AWS
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Module 1: Introduction to data lakes
- Describe the value of data lakes
- Compare data lakes and data warehouses
- Describe the components of a data lake
- Recognize common architectures built on data lakes
Module 2: Data ingestion, cataloging, and preparation
- Describe the relationship between data lake storage and data ingestion
- Describe AWS Glue crawlers and how they are used to create a data catalog
- Identify data formatting, partitioning, and compression for efficient storage and query
- Lab 1: Set up a simple data lake
Module 3: Data processing and analytics
- Recognize how data processing applies to a data lake
- Use AWS Glue to process data within a data lake
- Describe how to use Amazon Athena to analyze data in a data lake
Module 4: Building a data lake with AWS Lake Formation
- Describe the features and benefits of AWS Lake Formation
- Use AWS Lake Formation to create a data lake
- Understand the AWS Lake Formation security model
- Lab 2: Build a data lake using AWS Lake Formation
Module 5: Additional Lake Formation configurations
- Automate AWS Lake Formation using blueprints and workflows
- Apply security and access controls to AWS Lake Formation
- Match records with AWS Lake Formation FindMatches
- Visualize data with Amazon QuickSight
- Lab 3: Automate data lake creation using AWS Lake Formation blueprints
- Lab 4: Data visualization using Amazon QuickSight
Module 6: Architecture and course review
- Post course knowledge check
- Architecture review
- Course review
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MARTIN HEUBECK
Sales Gruppenseminare und Inhouse Standard
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Martin.Heubeck@
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ITALIA BRILLANTE
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Italia.Brillante@
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TUGBA PAMUKCUOGLU
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Tugba.Pamukcuoglu@
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JESSICA GERSTENLAUER
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Jessica.Gerstenlauer@
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FAYZULLAKHON UMAROV
Seminar and Finance Coordinator
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Fayzullakhon.Umarov@
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SIMONE HABERGER-ZAHN
Finance Manager
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Buchhaltung@
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ANNA HENNING
Marketing Manager
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Anna.Henning@
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