September 2014
Intermediate to advanced
512 pages
13h 54m
English
Content preview from Hadoop in Practice, Second EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Part 3. Big data patterns
Now that you’ve gotten to know Hadoop and know how to best organize, move, and store your data in Hadoop, you’re ready to explore part 3 of this book, which examines the techniques you need to know to streamline your big data computations.
In chapter 6 we’ll examine techniques for optimizing MapReduce operations, such as joining and sorting on large datasets. These techniques make jobs run faster and allow for more efficient use of computational resources.
Chapter 7 examines how graphs can be represented and utilized in Map-Reduce to solve algorithms such as friends-of-friends and PageRank. It also covers how data structures such as Bloom filters and HyperLogLog can be used when regular data structures can’t scale to ...
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