Big Data with IBM

Learn how to manage Big Data and get insight from it with IBM’s Big Data tools. You will learn how to store, mange and access data using technologies such as Hadoop and Spark as implemented by the IBM BigInsights product.

About this learning path

Big Data is data that’s too large to handle with traditional methods. This poses new challenges when it comes to storing, manipulating, retrieving, and analyzing Big Data.

Starting with a course on the fundamentals of Big Data, you’ll learn Big Data with IBM’s suite of products, as well as other open source tools. Leveraging these tools and techniques, you’ll be able to handle Big Data and gain crucial insight from it.

Note: You will receive badges for completing some of the courses, as listed below, but we are not yet offering a badge for completion of this learning path.

Courses

Big Data 101

Effort: 3 Hours
Level: Beginner
Available in: English
About the course

How big is big data? What does Apache Hadoop have to do with big data? In this course you will learn the basic big data concepts and terminology, and how big data isn't just about the size of data.

Hadoop 101

Effort: 5 hours
Level: Beginner
Available in: English
About the course

Apache Hadoop is one of the hottest technologies that paves the ground for analyzing big data. Learn more about what Hadoop is and its components, such as MapReduce and HDFS. Come on this journey to play with large data sets and see Hadoop’s method of distributed processing.

Accessing Hadoop Data Using Hive

Effort: 5 hrs
Level: Intermediate
Available in: English
About the course

Writing MapReduce programs to analyze Big Data can get complex. In this Accessing Hadoop Data Using Hive course, you will get a solid foundation on using Apache Hive, a tool that can help make querying your data much easier. You will learn how to query, summarize, and analyze large data sets stored in Hadoop compatible file systems.

SQL Access for Hadoop

Effort: 3 Hours
Level: Intermediate
Available in: English
About the course

Ever tried lighting a baseball stadium with a desk lamp? While all lights turn on and off, the trick is to apply the right light to the situation. This course’s content prescribes how to take the familiar workings of SQL and apply them to BIGSQL, illuminating the answers you need.

Spark Fundamentals I

Effort: 5 hours
Level: Beginner
Available in: English
About the course

Ignite your interest in Apache Spark with an introduction to the core concepts that make this general processor an essential tool set for working with Big Data. Get hands-on experience with Spark in our lab exercises, hosted in the cloud.

Our learning paths are designed to build on the content learned in the first course and then build upon the concepts in courses that follow. We recommend that they are completed in the order outlined in this learning path to ensure you get the most out of your investment of time. If you like what you see here, come and discover other learning paths and browse our course catalog.