Apache HBase is an open Source No SQL Hadoop database, a distributed, scalable, big data store. It provides real-time read/write access to large datasets. HDInsight HBase is offered as a managed cluster that is integrated into the Azure environment. HBase provides many features as a big data store. But in order to use HBase, the customers have to first load their data into HBase.
There are multiple ways to get data into HBase such as – using client API’s, Map Reduce job with TableOutputFormat or inputting the data manually on HBase shell. Many customers are interested in using Apache Phoenix – a SQL layer over HBase for its ease of use. The current post describes about how to use phoenix bulk load with HDinsight clusters.
Phoenix provides two methods for loading CSV data into Phoenix tables – a single-threaded client loading tool via the psql command, and a MapReduce-based bulk load tool.
Anunay explains both methods, allowing you to choose based on your data needs.