The amount of information we see on a daily basis is overwhelming. Then there's all the data we never even see. If your career depends on making sense of all of this information, you need to understand the programs that do the heavy lifting.
Apache Spark and Hadoop are two important resources for making sense of Big Data. Spark's open-source cluster-computing framework lets you translate complex analysis problems into multi-stage scripts. Hadoop's collection of open-source software utilities help us make sense of issues involving large amounts of data and computation. These tools help Big Data engineers translate huge data sets into information their companies understand.
These are just two platforms you'll learn with The Complete Big Data eBook & Video Course Bundle. This 10-course bundle is on sale now for just $29.99.
Twitter is one of the most profound sources of data in the modern world. Kafka Connect helps you make sense of streaming data. By the end of this course, you'll also understand distributed and standalone modes in order to scale up to a large, centrally-managed service supporting an entire organization. Working on a smaller project? You'll learn how to scale down to development, testing, and small production deployments.
Spark allows you to analyze giant data sets in real-time using the Spark Streaming API. Common stream processing problems will no longer haunt you as you learn to master event time and processing time. You'll soon know how to sort infinite event streams.
After learning Hadoop 3's latest features, you'll get an overview of how HDFS, MapReduce, and YARN enable faster, more efficient Big Data processing. After this course, you'll be well-versed with the analytical capabilities of the entire Hadoop ecosystem.
The Complete Big Data eBook & Video Course Bundle is on sale now for just $29.99 — a 95% discount from the list price.
Price subject to change. Software not included.
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