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
Data Lake Development with Big Data

You're reading from   Data Lake Development with Big Data Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies

Arrow left icon
Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781785888083
Length 164 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Toc

Chapter 2. Data Intake

In the preceding chapter, you understood the need for Data Lake and gained a high-level understanding of the key components that can comprise a Data Lake and how important each of these components are for building it. We have seen how the changing business landscape is provoking data growth and how organizations are adopting a newer paradigm such as Data Lake to ingest this data and extract analytical value.

In this chapter, you will understand in detail, the Intake Tier that was introduced in Chapter 1, The Need for Data Lake. The following topics will be covered in this chapter:

  • The process of obtaining data into the Data Lake's Intake Tier
  • An high-level overview of the various External Data Sources from which the data can be acquired, and the variety of data that can be ingested
  • The key functionalities that can be implemented as part of the Data Intake Tier
  • The various data intake modes
  • Big Data tools and technologies that can be used to acquire a variety...
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 ₹800/month. Cancel anytime