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HBase is a column-oriented database management system that runs on top of Hadoop Distributed File System (HDFS). It is well suited for sparse data sets HBase training in bangalore, which are common in many big data use cases HBase placement training in bangalore. Unlike relational database systems, HBase does not support a structured query language like SQL; in fact, HBase isn't a relational data store at all. HBase applications are written in Java much like a typical Apache MapReduce application HBase placement training in bangalore. HBase does support writing applications in Apache Avro, REST, and Thrift.An HBase system comprises a set of tables. Each table contains rows and columns, much like a traditional database. Each table must have an element defined as a Primary Key, and all access attempts to HBase learning HBase in bangalore tables must use this Primary Key. Avro, as a component, supports a rich set of primitive data types including: numeric, binary data and strings; and a number of complex types including arrays, maps, enumerations and records. A sort order can also be defined HBase fees in bangalore for the data.Apache HBase provides random, real time access to your data in Hadoop. It was created for hosting very large tables, making it a great choice to store multi-structured or sparse data best HBase training institute in bangalore. Users can query HBase for a particular point in time, making flashback our Hbase classes in bangalore queries possible. These following characterisitcs make HBase a great choice for storing semi-structured data like log data and then providing that data very quickly to users or applications integrated with HBase.
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