Book Image

Modern Data Architecture on AWS

By : Behram Irani
5 (1)
Book Image

Modern Data Architecture on AWS

5 (1)
By: Behram Irani

Overview of this book

Many IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.
Table of Contents (24 chapters)
1
Part 1: Foundational Data Lake
5
Part 2: Purpose-Built Services And Unified Data Access
17
Part 3: Govern, Scale, Optimize And Operationalize

Streaming data ingestion using Amazon MSK

Apache Kafka is a very popular open source distributed event streaming platform. For years now, organizations of all kinds have been using Kafka to power their event-driven systems. Kafka provides low sub-second latency and is a highly scalable framework.

One downside of using this open source framework is that you have to set up, manage, and operationalize production-grade infrastructure. This means making sure the system is highly resilient and scalable, is always patched with software updates, has all the bells and whistles, such as logging, monitoring, and notification setup, and, of course, is performant and cost-effective. Doing all this is sometimes error-prone and complex to manage.

In the era of cloud computing, organizations want all the advantages of Kafka but don’t want to deal with managing all the infrastructure behind the scenes. This is where Amazon Managed Streaming (MSK) for Apache Kafka comes to the rescue. MSK...