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AWS for Solutions Architects - Second Edition

You're reading from  AWS for Solutions Architects - Second Edition

Product type Book
Published in Apr 2023
Publisher Packt
ISBN-13 9781803238951
Pages 692 pages
Edition 2nd Edition
Languages
Authors (4):
Saurabh Shrivastava Saurabh Shrivastava
Profile icon Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Profile icon Neelanjali Srivastav
Alberto Artasanchez Alberto Artasanchez
Profile icon Alberto Artasanchez
Imtiaz Sayed Imtiaz Sayed
Profile icon Imtiaz Sayed
View More author details

Table of Contents (19) Chapters

Preface 1. Understanding AWS Principles and Key Characteristics 2. Understanding the 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. Driving Efficiency with CloudOps 10. Big Data and Streaming Data Processing in AWS 11. Data Warehouses, Data Queries, and Visualization in AWS 12. Machine Learning, IoT, and Blockchain in AWS 13. Containers in AWS 14. Microservice Architectures in AWS 15. Data Lake Patterns – Integrating Your Data across the Enterprise 16. Hands-On Guide to Building an App in AWS 17. Other Books You May Enjoy
18. Index

Data lake best practices

In this section, we will analyze best practices to improve the usability of your data lake implementation that will empower users to get their work done more efficiently and allow them to find what they need more quickly.

Centralized data management

Depending on your company culture, and regardless of how good your technology stack is, you might have a mindset roadblock among your ranks, where departments within the enterprise still have a tribal mentality and refuse to disseminate information outside of their domain.

For this reason, when implementing your data lake, it is critical to ensure that this mentality does not persist in the new environment. Establishing a well-architected enterprise data lake can go a long way toward breaking down these silos.

Centralized data management refers to the practice of storing all data in a single, centralized repository rather than in disparate locations or silos. This makes managing, accessing, and...

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