Introducing a New Hadoop On-Demand Training Course on HBase: HBase Data Model and Architecture

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3 min read

On January 27th, MapR launched free Hadoop On-Demand Training for developers, analysts and administrators with three courses: Hadoop Essentials, Developing Hadoop Applications and Hadoop Cluster Administration. We have had an enormous response since we launched five weeks ago, and the numbers keep growing daily. This just proves that there is a great thirst for big data-related skills among the global community. When we launched Hadoop On-Demand Training, we made the promise to add more courses over time, and that moment has arrived.

Today, we are announcing the availability of a course on HBase, the in-Hadoop NoSQL database. The course is titled “HBase Data Model and Architecture” and is catered to data analysts, data architects and application developers. This course is a foundational course that covers the use cases and concepts of the NoSQL technologies, how they differ from the relational databases, the HBase architecture and the data model components, and the basic operations. This course is highly valuable for anyone that is in the process of evaluating or designing applications leveraging NoSQL technologies. Similar to the other courses in the Hadoop On-Demand Training, this one includes lectures, scenarios, examples and hands-on labs.

Apache HBase is a NoSQL database for large key-value based data sets that provides scale and strong consistency, combined with MapReduce functionality over Hadoop. More than half of Hadoop users today deploy the MapR in-Hadoop database for their NoSQL operations. Here are just some of the use cases that we see among our customers:

  1. A prominent use case is in the realm of time series data, such as measuring rainfall, earthquake activity, stock prices, sever logs, sensor data, and transport tracking. With the growth of the Internet of Things, the volume of time series data that our customers are collecting is staggering. This use case is characterized by high volume and high velocity writes.

  2. Another use case is in information exchange, such as email or chat. This use case is characterized by high volume reads and writes.

  3. The third use case is as a web application data store to serve data content for millions of Internet users. This type of application is characterized by high volume and high velocity reads.

We would love to hear your stories or use cases on HBase as well as feedback on our Hadoop On-Demand Training courses. Do share your thoughts below.

And, don’t forget to start your journey on HBase today!

This blog post was published March 09, 2015.

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