Book Image

Connecting the Data: Data Integration Techniques for Building an Operational Data Store (ODS)

By : Angelo Bobak
Book Image

Connecting the Data: Data Integration Techniques for Building an Operational Data Store (ODS)

By: Angelo Bobak

Overview of this book

When organizations change or enhance their internal structures, business data integration is a complex problem that they must resolve. This book describes the common hurdles you might face while working with data integration and shows you various ways to overcome these challenges. The book begins by explaining the foundational concepts of ODS. Once familiar with schema integration, you?ll learn how to reverse engineer each data source for creating a set of data dictionary reports. These reports will provide you with the metadata necessary to apply the schema integration process. As you progress through the chapters, you will learn how to write scripts for populating the source databases and spreadsheets, as well as how to use reports to create Extract, Transform, and Load (ETL) specifications. By the end of the book, you will have the knowledge necessary to design and build a small ODS.
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Site Reliability Engineering – A Prescriptive Way to Implement DevOps
6
Section 2: Google Cloud Services to Implement DevOps via CI/CD
Appendix: Getting Ready for Professional Cloud DevOps Engineer Certification

Chapter 9: Securing the Cluster Using GKE Security Constructs

Kubernetes, or K8s, is an open source container orchestration system that runs containerized applications but requires significant effort to set up and maintain. Google Kubernetes Engine (GKE) is an enhanced version of K8s that is managed in nature, abstracts the master plane components from the user, provides the ability to auto-upgrade, and supports features such as DNS, logging, and monitoring dashboards as built-ins rather than maintaining them as external plugins. Kubernetes has a lot of critical concepts, jargon, and objects. The last two chapters (Chapter 7, Understanding Kubernetes Essentials to Deploy Containerized Applications, and Chapter 8, Understanding GKE Essentials to Deploy Containerized Applications) focused on native Kubernetes features such as cluster anatomy, elaborated on key Kubernetes objects, and discussed how applications are scheduled on a cluster. In addition, the focus was extended to learning...