Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Enterprise-Grade Hybrid and Multi-Cloud Strategies

You're reading from   Enterprise-Grade Hybrid and Multi-Cloud Strategies Proven strategies to digitally transform your business with hybrid and multi-cloud solutions

Arrow left icon
Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781804615119
Length 362 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Sathya AG Sathya AG
Author Profile Icon Sathya AG
Sathya AG
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Challenges with Cloud Adoption at an Enterprise Scale
2. Chapter 1: Leadership, Will, and Mindset FREE CHAPTER 3. Chapter 2: A Primer on the Cloud 4. Chapter 3: Enterprise Challenges with Cloud Adoption 5. Part 2: Succeeding with Hybrid Cloud and Multi-Cloud
6. Chapter 4: Building the Foundations for a Modern Enterprise 7. Chapter 5: An Enterprise Journey to Cloud Transformation 8. Chapter 6: Building an Open and Nimble Cloud Framework 9. Chapter 7: Hybrid Cloud Use Cases 10. Part 3: Lead and Transform Your Business with Cloud
11. Chapter 8: Architecting a Cloud-Ready Enterprise 12. Chapter 9: Facets of Digital Transformation 13. Chapter 10: Leading and Innovating with the Cloud 14. Chapter 11: ESG and Sustainability 15. Index 16. Other Books You May Enjoy

Innovating with big data and serverless

The convergence of digital technologies, the expansion of connected devices, and the growing complexity of data types contribute to the exponential evolution of data in enterprises today. The proliferation of connected devices, the IoT, social media, clickstream data, logs, and multimedia-rich applications has intensified the diversity and volume of data being generated. According to a study by Harvard Business Review (HBR), organizations use less than 50% of their structured data for business decisions, while less than 1% of unstructured data is even tapped in [5]. The following aspects define big data – also described across 7-Vs [6]:

  1. Variety: Refers to the variety of data sources and data across multiple formats – structured, semi-structured and unstructured
  2. Volume: This is the primary factor distinguishing big data, with growing data volumes across transactions, files, signals, and events
  3. Velocity: Speed at which...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime