Big Data is one of the hottest topics in the tech world. Here's your chance to learn Big Data by taking the carefully selected courses below.
We start off with a Big Data Fundamentals course which will help you get the big picture, understand what Big Data is, the different types of Big Data available, as well as the kind of Big Data problems affecting most industries.
The other courses in this track will teach you about Map-Reduce, the key concept that enables us to tackle Big Data problems through the magic of parallelism. We'll then move on to Hadoop and Spark, two of the key Map-Reduce frameworks to handle large volumes of data. The two Spark courses will really take your ability to handle Big Data to the next level.
Finally, in order to give you a well-rounded understanding of the Big Data ecosystem, you'll learn about IBM Watson Analytics and Cloud-based NoSQL databases.
Watson Analytics is a business tool that can greatly aid programmers and non-programmers alike with visualization and data analysis, by making exploration and prototyping easy and intuitive. Our NoSQL introduction on the other hand, will teach you about an emerging category of databases, why they are different from traditional, relational databases, and how to use them for document-based and key-value type of data.
If you are interested in a Big Data career, we recommend starting with this foundational Big Data learning path.
Our learning paths are structured so as to enable you to linearly progress through each course. We suggest taking them in the order presented. Big Data University also offers a vast number of other courses on various analytics, big data, data science, and programming topics. Check out our other learning paths and our course catalog.
An IBM community initiative, Big Data University is the world’s best education on big data. Learn about big data, data science and analytic technologies from experts using hands-on exercises and interactive videos. Best of all, it’s completely free.