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Building Google Cloud Platform Solutions

You're reading from   Building Google Cloud Platform Solutions Develop scalable applications from scratch and make them globally available in almost any language

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Product type Course
Published in Mar 2019
Publisher Packt
ISBN-13 9781838647438
Length 778 pages
Edition 1st Edition
Languages
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Authors (3):
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Steven Porter Steven Porter
Author Profile Icon Steven Porter
Steven Porter
Legorie Rajan PS Legorie Rajan PS
Author Profile Icon Legorie Rajan PS
Legorie Rajan PS
Ted Hunter Ted Hunter
Author Profile Icon Ted Hunter
Ted Hunter
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Toc

Table of Contents (29) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Why GCP? FREE CHAPTER 2. The Google Cloud Console 3. APIs, CLIs, IAM, and Billing 4. Google App Engine 5. Google Kubernetes Engine 6. Google Cloud Functions 7. Google Compute Engine 8. NoSQL with Datastore and Bigtable 9. Relational Data with Cloud SQL and Cloud Spanner 10. Google Cloud Storage 11. Stackdriver 12. Change Management 13. GCP Networking for Developers 14. Messaging with Pub/Sub and IoT Core 15. Integrating with Big Data Solutions on GCP 16. Compute 17. Storage and Databases 18. Networking 19. Security 20. Machine Learning and Big Data 21. Management Tools 22. Best Practices 1. Other Books You May Enjoy Index

Chapter 15. Integrating with Big Data Solutions on GCP

In recent years, few terms have generated more buzz in the tech scene than big data and data analytics. From advancing particle physics to stocking grocery store shelves, the use cases for collecting and analyzing potentially huge amounts of data cut across industries and interests. However, there are many challenges standing in the way of realizing the potentials of big data. Data by itself is not inherently valuable and, in order to realize the value of big data, that data needs to be organized, conditioned, processed, and analyzed in order to provide insights that drive informed decisions.

Google's mission statement is to organize the world's information and make it universally accessible and useful, so it's no surprise that Google has been a major innovator in the arena of big data. With a well-established track record for pushing the envelope in data processing, advanced analytics, and machine learning, Google is in a great position...

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