April 2018
Beginner to intermediate
360 pages
8h 54m
English
Content preview from Seven Databases in Seven Weeks, 2nd 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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Day 3: Taking It to the Cloud
On Days 1 and 2, you got quite a lot of hands-on experience using HBase in standalone mode. Our experimentation so far has focused on accessing a single local server. But in reality, if you choose to use HBase, you’ll want to have a good-sized cluster in order to realize the performance benefits of its distributed architecture. And nowadays, there’s also an increasingly high chance that you’ll want to run it in the cloud.
Here on Day 3, let’s turn our attention toward operating and interacting with a remote HBase cluster. First, you’ll deploy an HBase cluster on Amazon Web Services’ Elastic MapReduce platform (more commonly known as AWS and EMR, respectively) using AWS’s command-line tool, appropriately named ...
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