You're reading from Data Engineering with AWS Cookbook A recipe-based approach to help you tackle data engineering problems with AWS services

Product type Paperback

Published in Nov 2024

Publisher Packt

ISBN-13 9781805127284

Length 528 pages

Edition 1st Edition

Languages

Python

Tools

AWS Glue

Concepts

Data Engineering Cloud Computing

Authors (4):

Viquar Khan

Gonzalo Herreros González

Huda Nofal

Trâm Ngọc Phạm

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Table of Contents (16) Chapters

Preface

1. Chapter 1: Managing Data Lake Storage

2. Chapter 2: Sharing Your Data Across Environments and Accounts FREE CHAPTER

3. Chapter 3: Ingesting and Transforming Your Data with AWS Glue

4. Chapter 4: A Deep Dive into AWS Orchestration Frameworks

5. Chapter 5: Running Big Data Workloads with Amazon EMR

6. Chapter 6: Governing Your Platform

7. Chapter 7: Data Quality Management

8. Chapter 8: DevOps – Defining IaC and Building CI/CD Pipelines

9. Chapter 9: Monitoring Data Lake Cloud Infrastructure

10. Chapter 10: Building a Serving Layer with AWS Analytics Services

11. Chapter 11: Migrating to AWS – Steps, Strategies, and Best Practices for Modernizing Your Analytics and Big Data Workloads

12. Chapter 12: Harnessing the Power of AWS for Seamless Data Warehouse Migration

13. Chapter 13: Strategizing Hadoop Migrations – Cost, Data, and Workflow Modernization with AWS

14. Index

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Performing a seamless HBase migration to AWS

HBase provides a Hadoop-based solution for managing large-scale, sparse datasets. This non-relational, distributed database excels at random read/write access to data with high volume and variety, making it a valuable tool for big data applications.

Migrating an on-premises Apache HBase database to AWS allows organizations to leverage the scalability, flexibility, and cost-effectiveness of the cloud. AWS provides several options for migrating to HBase, including moving to HBase on Amazon S3 (running on Amazon EMR), or migrating to a fully managed service such as Amazon DynamoDB. This recipe outlines the detailed steps to perform this migration.

Getting ready

Before beginning the migration process, ensure the following prerequisites are met:

AWS account: Ensure you have an AWS account with permissions to create and manage resources such as Amazon EMR, S3, and DynamoDB
Existing HBase cluster: Access to your on-premises...

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You're reading from Data Engineering with AWS Cookbook A recipe-based approach to help you tackle data engineering problems with AWS services

Table of Contents (16) Chapters

Performing a seamless HBase migration to AWS

Getting ready

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Authors (4)

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