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

Answers

  1. (d) – A new ReplicaSet will be created with the new image running inside a new Pod and will gradually replace Pods from the old ReplicaSet.
  2. (c) – Pod.
  3. (b) – The Service object sends traffic to Pods based on label selectors.
  4. (c) – Configure a readiness probe.
  5. (c) – Create a cluster with multiple node pools.
  6. (c) – Canary deployment.
  7. (d) – All of the above.
  8. (b) and (d) – A/B and Red/Black is the same as Blue/Green.
  9. (b) – ResourceQuota is an example of an admission controller where a namespace can be restricted to only use up to a certain capacity of memory and CPU. Each development team can work exclusively in its own namespace.
  10. (c) – It runs a specific Pod on every node in the cluster or a subset of selected nodes in the cluster.
  11. (b) and (c).
  12. (c) – The last Pod that was created will be deleted (log-collector-2).
  13. (b) – A container in a Pod failed...