Apache HBase provides real-time access to data in Hadoop. Apache HBase is designed for hosting very large tables, making it a great choice to store multi-structured data. Apache Hive is an open-source data warehouse project built on the top of Apache Hadoop for handling large data sets. Apache Hive facilitates analysis of data stored in various databases and file systems integrated with Apache Hadoop.
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In Apache HBase data is highly available and accessible despite hardware failure due to multiple copies of data. If a machine crashes, data will be accessed from another path.
Replication of data in the cluster, data reliably stored on the cluster of machines despite machine failures. Replication of data in the cluster, data reliably stored on the cluster of machines despite machine failures.
Apache HBase and Apache Hive support scalability in both linear and modular form.
In Apache HBase data replicates across the data centre. lt keep syncing the data in the cluster, so if any, one node goes down, data from that node can be recovered from other nodes.
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Apr 11, 2020
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