10 Completely Free Resources for Sharpening Your Skills in Hadoop
Taking on a Big Data initiative isn’t cheap. If you have to add in training costs for your entire IT and Big Data teams, the price tag can expand rapidly. Or, you can just take advantage of one of the numerous free resources available. Here are some options …
1. Big Data University
There are about 80 different Big Data related courses at this online university, all for free. Your choices include Hadoop, SQL, Scala Programming, Spark Fundamentals, DB2, HBase, Pig, Big Data Analytics, and others. Non-English courses are also offered (Spanish, Japanese, Russian, and others).
2. Hortonworks Videos & Tutorials
While most of Hortonworks’ courses require a fee, they also offer a number of tutorials, plus a number of helpful free videos on YouTube. To make the most out of the tutorials, download and install Hortonworks Sandbox. If you choose your training carefully, you can prepare to take the HDP Certified Developer exam without spending a dime, but the course to obtain certification is $250 USD.
3. Cloudera Video Courses
Cloudera also offers certification as a Cloudera Certified Associate in Spark and Hadoop. Their exam is $295 USD, but you can prepare online for free using their YouTube courses. Some of their free courses include Cloudera Essentials for Apache Hadoop and a live demonstration of Hadoop, Cloudera Live. They also have tutorials designed specifically for data analytics, administrators, and developers.
4. Coreservlets.com Tutorials & Courses
Coreservlets are courses developed by IT trainer and consultant Marty Hall. He offers numerous programs for free via his website, and is also available for onsite training (for a fee, of course). Choose from many different courses, including Hadoop, Java programming, and others.
5. Coursera Video Lectures
Coursera video courses make all of their video lectures and many of their training exercises available for free, though it is necessary to pay for a certification. These courses are developed with top universities like the University of California in San Diego, Stanford University, Duke University, and others. It’s a great foot-in-the-door program for those who are on the fence about pursuing a degree in data science or related disciplines.
6. DeZyre Tutorials
DeZyre is another paid educational opportunity that offers a lot of free training to get you up and running. They offer free tutorials, which are available on-demand from their website. You don’t even have to go through a signup process. If you choose, you can go on to purchase their premium training, designed and developed by industry experts, and get assigned your very own mentor.
7. Hadoop Online Tutorials
The Hadoop Online Tutorials website features numerous free and paid online courses. Some are duplicates of the ones listed here, but there are many others, as well.
8. MapR Free Hadoop Online Training Courses
If you’ve been around the Big Data industry, you’ve already heard of MapR. They offer on-demand courses for the Hadoop ecosystem, including lectures on video, hands-on exercises, etc. You can even go on to achieve certifications, including Hadoop Administrator, Data Analyst, or Developer. Courses cover a variety of topics, including MapR Streams, HBase, Spark, Drill, and Hive.
Udacity makes their courses and materials available for free, but you’ll have to have a paid subscription to get a “degree” (called Nanodegrees). They feature an impressive list of free courses, including classes on data science, web development software engineering, mobile operating systems and more. These courses are developed by industry superstars like Twitter and Facebook.
For many more generalized and specialized lessons and courses, browse YouTube. Just remember — it’s buyer beware, even when it’s a free course. Make sure you only spend time learning if you are certain that the “teacher” is a true data professional who’s in the know. Look for affiliations with known and trusted tech and data companies like Cloudera, Hortonworks, IBM, Microsoft, etc.
For more information on the lastest Hadoop trends and best practices, check out: Hadoop Perspectives for 2017: New Insights as the Market Matures.