Book Image

DevOps for Databases

By : David Jambor
Book Image

DevOps for Databases

By: David Jambor

Overview of this book

In today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps. You’ll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You’ll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code. By the end of this book, you’ll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently.
Table of Contents (24 chapters)
1
Part 1: Database DevOps
5
Part 2: Persisting Data in the Cloud
7
Chapter 5: RDBMS with DevOps
10
Part 3: The Right Tool for the Job
14
Part 4: Build and Operate
19
Part 5: The Future of Data

Database evolution

In this section, we will briefly discuss how databases have evolved over time.

Hierarchical database models

Hierarchical databases are a type of database management system (DBMS) that follows a hierarchical structure for organizing data. This structure is similar to a tree, with the root node at the top and child nodes branching out from it. Each child node can have multiple child nodes of its own, and so on, creating a hierarchical structure of data.

In this model, data is organized into records, which are stored in a hierarchy of parent-child relationships. Each record is linked to one or more child records, forming a tree-like structure. The parent record is called the owner record, and the child records are called member records. The owner record can have one or more member records, but each member record can only have one owner record.

One of the key features of hierarchical databases is the use of pointers or links to connect records. These links...