Previous: Elastic MapReduce: Running Hadoop in the AWS Cloud
We’ve covered a lot of ground in this series. From the basic blocks of HDFS to the real-time speeds of Flink and the limitless scale of the AWS cloud. After spending a lot of time with Sridhar Alla’s Big Data Analytics with Hadoop 3, I have a few final thoughts to share.
Previous: Getting Started with Hadoop 3: What’s New and Why It Matters
In the last post, we talked about all the cool new features in Hadoop 3. Now, let’s actually build something. Sridhar Alla’s book gives a solid walkthrough on setting up a single-node cluster. If you’re on Linux, this is pretty straightforward.
Previous: Big Data for the Rest of Us
Hadoop has been around for a while, but version 3 is where things get really interesting. If you’ve worked with Hadoop 1 or 2, you know it was solid but had some pain points. Sridhar Alla’s book kicks off by looking straight at what’s changed.
So, you’ve heard about big data. It’s everywhere. But how do you actually handle it? If you’re looking for the OG of big data platforms, you’re looking at Hadoop. And honestly, it’s still the foundation for almost everything we do in data today.