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.
Hadoop Data Access
So you know how to drive (code in SQL) and now you have the keys to your first car (the link to the data set). Ready to drive? Consider this course as the test drive to accessing data in big data systems using Hive, SQL, and HBase. Just don't get stung!
About this learning path
So what are the similarities between a beehive and an Apache hive? Efficiency, ingenious architecture and the constant draw to find its sweet rewards are just some. If SQL is the equivalent of the bee-keeper’s smoke, this course demonstrates how to use the SQL to access Hadoop data. It speaks to Big SQL, HBase system, and architecture for real-time access. Suit up and realize the buzz!
A new slant on your research has landed in your lap? Are you too far down the rabbit hole to make the changes you need? HBase, an open source Hadoop database used for random, real-time read/writes to your data. Here is your carrot.. see how it works.
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.