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Data Engineering with AWS Part 1

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Businesses need data experts—now more than ever before. As data-driven decision-making has risen to boardroom prominence, the role of the data expert has become essential to understanding and scaling a business. In this course—the first in a two-part series—instructor Dipali Kulshrestha shows you how to get started on your professional journey and grow your career as a data engineer with AWS.

Get an introduction to the field of data engineering and why it’s so important in today’s business world. Explore a variety of data types, data lakes, data sources, and how to use built-in AWS components such as DynamoDB, Kinesis, and S3 to store and manage your streams. Find out how to leverage the full power of an end-to-end data engineering pipeline, from selecting and configuring ingestion patterns, to storing data for analytic processing with S3. Test your new skills along the way in the hands-on data challenges at the end of each section.


01 - Introduction
  • 01 - Data engineering with AWS

  • 02 - 1. Data Engineering
  • 01 - Overview of data engineering
  • 02 - Importance of data engineering
  • 03 - Types of data
  • 04 - Overview of data lakes
  • 05 - Introduction to data engineering pipeline

  • 03 - 2. Data Sources
  • 01 - Overview of data sources
  • 02 - DynamoDB overview
  • 03 - Understanding DynamoDB partitions and streams
  • 04 - Lab Set up CLI to create DynamoDB tables
  • 05 - Lab Create DynamoDB tables via Python script
  • 06 - Challenge DynamoDB
  • 07 - Solution DynamoDB

  • 04 - 3. Ingestion
  • 01 - Data ingestion overview and design considerations
  • 02 - Ingestion technology landscape
  • 03 - Kinesis Data Streams overview
  • 04 - Kinesis producers and consumers
  • 05 - Kinesis Data Firehose
  • 06 - Demo Firehose

  • 05 - 4. Storage
  • 01 - Data storage overview and design considerations
  • 02 - Storage technology landscape
  • 03 - Elastic cache overview
  • 04 - Amazon S3 overview
  • 05 - Amazon S3 storage classes and lifecycle rules
  • 06 - Amazon S3 Versioning and encryption
  • 07 - Amazon S3 security and event notifications
  • 08 - Challenge Amazon S3
  • 09 - Solution Amazon S3

  • 06 - Conclusion
  • 01 - Next steps
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    تاریخ انتشار: ۲۶ دی ۱۴۰۱
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