You're reading from AWS for Solutions Architects The definitive guide to AWS Solutions Architecture for migrating to, building, scaling, and succeeding in the cloud

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781803238951

Length 692 pages

Edition 2nd Edition

Tools

AWS

Concepts

Cloud Computing

Authors (4):

Neelanjali Srivastav

Saurabh Shrivastava

Alberto Artasanchez

Imtiaz Sayed

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Table of Contents (19) Chapters

AWS for Solutions Architects, Second Edition: Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

1 Understanding AWS Principles and Key Characteristics FREE CHAPTER

2 Understanding AWS Well-Architected Framework and Getting Certified

3 Leveraging the Cloud for Digital Transformation

4 Networking in AWS

5 Storage in AWS – Choosing the Right Tool for the Job

6 Harnessing the Power of Cloud Computing

7 Selecting the Right Database Service

8 Best Practices for Application Security, Identity, and Compliance

9 Dive efficiency with Cloud Operation Automation and DevOps in AWS

10 Bigdata and streaming data processing in AWS

11 Datawarehouse, Data Query and Visualization in AWS

12 Machine Learning, IoT, and Blockchain in AWS

13 Containers in AWS

14 Microservice and Event-Driven Architectures

15 Domain-Driven Design

16 Data Lake Patterns – Integrating Your Data across the Enterprise

17 Availability, Reliability, and Scalability Patterns

18 AWS Hands-On Lab and Use Case

Data lake in AWS with Lake Formation

Lake formation is a fully managed data lake service provided by AWS that enables data engineers and analysts to build a secure data lake. Lake formation provides an orchestration layer combining AWS services such as S3, RDS, EMR, and Glue to ingest and clean data with centralized fine gain data security management.

With Lake formation, you can set up your data lake on Amazon S3 and start ingesting readily queryable data. As you add your data sources, Lake Formation will crawl those sources and move the data into your Amazon S3 data lake. Lake Formation uses machine learning to automatically lay out the data in Amazon S3 partitions, change it into formats for faster analytics, like Apache Parquet and ORC, and deduplicate and find matching records to increase data quality.

You can set up all permissions for your data lake, which will be implemented across all services accessing this data, such as Amazon Redshift, Amazon Athena, and Amazon EMR. This reduces...

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Data lake in AWS with Lake Formation

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Table of Contents (19) Chapters