HBase is a distributed, scalable, NoSQL database built on top of the Hadoop Distributed File System (HDFS). It provides real-time read/write access to large datasets and is designed to handle billions of rows and millions of columns efficiently.
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About Hbase
HBase was created in 2007 as part of the Apache Hadoop project. It was inspired by Google's Bigtable and was developed to provide a scalable, distributed database capable of handling large amounts of structured data in real-time. It aimed to address the limitations of traditional relational databases in handling big data workloads.
HBase's strengths include its scalability, real-time read/write access, and seamless integration with Hadoop. Its weaknesses are complex configuration, high latency for small datasets, and dependency on HDFS. Competitors include Cassandra, MongoDB, and Amazon DynamoDB.
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How to hire a Hbase expert
An HBase expert must have strong knowledge of HDFS, proficiency in Java for development and troubleshooting, experience with Hadoop ecosystem tools like Hive and Pig, expertise in data modeling for NoSQL databases, and skills in performance tuning and cluster management.
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