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The Cloud Data Lake
book

The Cloud Data Lake

by Rukmani Gopalan
December 2022
Beginner to intermediate content levelBeginner to intermediate
244 pages
7h
English
O'Reilly Media, Inc.
Book available
Content preview from The Cloud Data Lake

Chapter 8. Six Lessons for a Data Informed Future

It’s amazing how a little tomorrow can make up for a whole lot of yesterday.

John Guare

The promise of a cloud data lake architecture lies in the boundless diversity of scenarios that it enables. In the previous chapters, we’ve focused on the most commonly used patterns of data processing with Spark- and Hadoop-flavored technologies. Other aspects—such as real-time stream processing, which generates quick insights on real-time data, and advanced analytics scenarios, which build smart applications on the data lake—are gaining fast adoption. One thing that all the concepts and frameworks we covered in the previous chapters have in common is that at every juncture in the design or implementation of the cloud data lake, choices are available to you, and each choice comes with trade-offs on cost, complexity, and flexibility. As you make these decisions when designing your cloud data lake, it’s only natural to have the following questions:

  • How do I know I made the right choice?

  • As my organization grows and so do the scenarios on my data lake, how do I iterate and drive transformation?

  • How do I ensure that my organization can be agile to gather and address the next set of requirements?

  • How do I think about a global strategy and stay ahead of the needs of my organization?

In this chapter, I leverage the format of lessons learned to provide a structure for you to think about the technical, cultural, and organizational decisions ...

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Publisher Resources

ISBN: 9781098116576Errata Page