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In continuation of my series on HDInsight and the different clusters within it, today I'll cover HBase. HBase is a NoSQL database that provides random access and strong consistency for structured, unstructured and semi-structured data.
It’s a schema-less (or organized by families of columns) database. Another way to describe it is it’s sort of modeled after Google’s Bigtable, where data is stored in the rows of a table and then grouped by a column family. As it’s schema-less, neither the columns themselves or the data types inside of the columns need to be defined before using the data.
Some other key things to be aware of with HBase:
Some of the most common workloads:
I still have a few HDInsight technologies to cover in this series. Many of these are interrelated and work together to complete and update data architecture. At Pragmatic Works, we are doing a lot of big data work in many different scenarios with customers and this is another option for us to service with.
If you have questions about any of the HDInsight clusters I’ve talked about, HBase, Hadoop, Spark or about anything Azure related, we’re here to help. Click the link below or contact us—we are your best resource.
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