Get Ready for Your New Data Science Career with the Big Data Bundle

It’s time for you to finally take that plunge and forge ahead with a new career in data science. There’s never been a better time to become a data analyst or data engineer.

With the Big Data Bundle you’ll pick up the skills you need for that future data science career. 645 hours and 418 lessons of Hadoop, MapReduce, Spark, and others will prepare you to be a data analyst or data engineer.

These nine courses include:

From 0 to 1: Hive for Big Data Processing – With a similar interface to SQL, you can use it alongside SQL to enhance you skills with big data processing.

Learn by Example: Hadoop & MapReduce for Big Data Problems – Learn how to process and manage big data more efficiently using Hadoop and MapReduce.

From 0 to 1: Spark for Data Science in Python – Eliminate having to work with several different systems to manage big data and run machine learning algorithms with Spark.


Scalable Programming with Scala & Spark – Use Scala and Spark together for fast feedback as you analyze big data in an interactive environment.

Learn by Example: HBase – The Hadoop Database – This databasing tool allows more flexibility to provide column-oriented storage, no fixed schema, and low latency to allow for the changing needs of applications.

Pig for Wrangling Big Data – Pig will organize your big data, allowing it to be stored in a data warehouse for reporting and analysis.

From 0 to 1: The Cassandra Distributed Database – Allows you to use partitioning and replication to be sure your data is structured and ready when nodes in a cluster go down.

Oozie: Workflow Scheduling for Big Data Systems – Will teach you how to best decide the parameters of multiple jobs, different time schedules, and entire data pipelines.


Flume & Sqoop for Ingesting Big Data – Transport data from sources such as local file systems and data stores while organizing and managing big data.

Get all of this now at 93% off.

The Big Data Bundle

Laura Tucker Laura Tucker

Laura has spent nearly 20 years writing news, reviews, and op-eds, with more than 10 of those years as an editor as well. She has exclusively used Apple products for the past three decades. In addition to writing and editing at MTE, she also runs the site's sponsored review program.

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