A Walk Through The Key Features of Apache Hbase

Shivali Sharma | Updated on 14 Oct, 2022 | Big Data Training Certification Courses Online - Multisoft | 860

If you want to gain skills and in-depth knowledge on Apache Hbase, Apache Hbase Certification Training course online from Multisoft Virtual Academy is just the one you need. This course is taught by a team of Multisoft’s global subject matter experts in live instructor-led one-on-one or corporate training sessions.

However, if you want a deeper look into the Apache Hbase database, here is a list of its key features and attributes.

Hbase offers unique feature for high-speed requirements, including consistent writes and reads.
Hbase offers atomic read and write features, it means when one write or read process takes place, all the other processes are stopped from performing any write or read operation.
The sharding feature of Habse, helps users to reduce I/O overhead and time by offering manual and automatic division of regions into sub-regions when threshold size reaches.
Offers WAN and LAN that supports recovery and failover. It acts as a master server that monitors region servers and cluster metadata.
Offers programmatic access through Java APIs.
Supports scalability in linear as well as modular form.
Offers Hadoop/HDFS integration, where Hbase can, without hassle run along with other file systems.
Offers distributed storage including HDFS.
Supports data replication for all clusters.
HDFS gets internally distributed and recovered automatically, with HBase running with HDFS, which allows HBase to recover automatically. HBase also supports failover by using RegionServer replication.
Clients can access it easily as HBase offers Java APIs support.
It also offers MapReduce support to enable parallel process of massive volumes of data.
It also supports Hadoop MapReduce jobs backup in HBase tables.
Enables to build optimized requests using timestamp and row keys, as HBase keeps row keys in lexicographical order, while the search is performed on the rows range.
Supports Bloom filters and block cache for query processing in real time.
Uses Hash tables to offer random access and faster lookups, while storing data in HDFS files which are indexed.
HBase supports both types of big data, structured as well as semi-structured.
HBase is schema-less, thus it only defines column families.
Offers high write throughput, due to easy to manage features and high security.

These are some of the key features of Apache HBase to name. If you want to gain in-depth knowledge of Apache HBase, consider enrolling for Apache HBase Certification Training course online from Multisoft Virtual Academy. Enroll to avail benefits such as lifetime e-learning access, recorded training session videos and after training support. Once you have successfully completed the course, you will earn a globally recognized training certificate.

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About the Author

Shivali Sharma

Shivali is a Senior Content Creator at Multisoft Virtual Academy, where she writes about various technologies, such as ERP, Cyber Security, Splunk, Tensorflow, Selenium, and CEH. With her extensive knowledge and experience in different fields, she is able to provide valuable insights and information to her readers. Shivali is passionate about researching technology and startups, and she is always eager to learn and share her findings with others. You can connect with Shivali through LinkedIn and Twitter to stay updated with her latest articles and to engage in professional discussions.

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A Walk Through The Key Features of Apache Hbase

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