Apache HBase

HBase is a column-oriented NoSQL database that is part of the Hadoop ecosystem. It is an open source distributed database specialized in Big Data storage that provides access with low latency and strong concurrency. The storage is optimized to provide access to the values through a key. Keys are sorted which provide the ability to query from one key to another (Range Query). The data is written to HDFS, which ensures replication. A HBase database consists of a master and workers, following the same principle as Hadoop. Each HBase worker has a single HRegionServer through which the data travels. It is the HRegionServer that will manage the storage of data within a single machine. The data stored in HBase is encapsulated in HRegions that correspond to a set of files from the same table (the HFiles). These HRegions are managed by the HRegionServer. Each machine can have one or more HRegions.

Related articles

Introducing Trunk Data Platform: the Open-Source Big Data Distribution Curated by TOSIT

Introducing Trunk Data Platform: the Open-Source Big Data Distribution Curated by TOSIT

Categories: Big Data, DevOps & SRE, Infrastructure | Tags: DevOps, Hortonworks, Ansible, Hadoop, HBase, Knox, Ranger, Spark, Cloudera, CDP, CDH, Open source, TDP

Ever since Cloudera and Hortonworks merged, the choice of commercial Hadoop distributions for on-prem workloads essentially boils down to CDP Private Cloud. CDP can be seen as the ā€œbest of both worldsā€¦

Leo SCHOUKROUN

By Leo SCHOUKROUN

Apr 14, 2022

Apache HBase: RegionServers co-location

Apache HBase: RegionServers co-location

Categories: Big Data, Adaltas Summit 2021, Infrastructure | Tags: Ambari, Database, Infrastructure, Tuning, Hadoop, HBase, Big Data, HDP, Storage

RegionServers are the processes that manage the storage and retrieval of data in Apache HBase, the non-relational column-oriented database in Apache Hadoop. It is through their daemons that any CRUDā€¦

Pierre BERLAND

By Pierre BERLAND

Feb 22, 2022

Build your open source Big Data distribution with Hadoop, HBase, Spark, Hive & Zeppelin

Build your open source Big Data distribution with Hadoop, HBase, Spark, Hive & Zeppelin

Categories: Big Data, Infrastructure | Tags: Maven, Hadoop, HBase, Hive, Spark, Git, Release and features, TDP, Unit tests

The Hadoop ecosystem gave birth to many popular projects including HBase, Spark and Hive. While technologies like Kubernetes and S3 compatible object storages are growing in popularity, HDFS and YARNā€¦

Leo SCHOUKROUN

By Leo SCHOUKROUN

Dec 18, 2020

Internship Data Science & Data Engineer - ML in production and streaming data ingestion

Internship Data Science & Data Engineer - ML in production and streaming data ingestion

Categories: Data Engineering, Data Science | Tags: DevOps, Flink, Hadoop, HBase, Kafka, Spark, Internship, Kubernetes, Python

Context The exponential evolution of data has turned the industry upside down by redefining data storage, processing and data ingestion pipelines. Mastering these methods considerably facilitatesā€¦

David WORMS

By David WORMS

Nov 26, 2019

Clusters and workloads migration from Hadoop 2 to Hadoop 3

Clusters and workloads migration from Hadoop 2 to Hadoop 3

Categories: Big Data, Infrastructure | Tags: Slider, Erasure Coding, Rolling Upgrade, HDFS, Spark, YARN, Docker

Hadoop 2 to Hadoop 3 migration is a hot subject. How to upgrade your clusters, which features present in the new release may solve current problems and bring new opportunities, how are your currentā€¦

Lucas BAKALIAN

By Lucas BAKALIAN

Jul 25, 2018

Omid: Scalable and highly available transaction processing for Apache Phoenix

Omid: Scalable and highly available transaction processing for Apache Phoenix

Categories: Big Data, DataWorks Summit 2018 | Tags: Omid, Phoenix, Transaction, ACID, HBase, SQL

Apache Omid provides a transactional layer on top of key/value NoSQL databases. In practice, it is usually used on top of Apache HBase. Credits to Ohad Shacham for his talk and his work for Apacheā€¦

Xavier HERMAND

By Xavier HERMAND

May 24, 2018

Essential questions about Time Series

Essential questions about Time Series

Categories: Big Data | Tags: Grafana, Druid, HBase, Hive, ORC, Data Science, Elasticsearch, IOT

Today, the bulk of Big Data is temporal. We see it in the media and among our customers: smart meters, banking transactions, smart factories, connected vehicles ā€¦ IoT and Big Data go hand in hand. Weā€¦

David WORMS

By David WORMS

Mar 18, 2018

Hadoop and R with RHadoop

Hadoop and R with RHadoop

Categories: Business Intelligence, Data Science | Tags: Thrift, Learning and tutorial, R, Hadoop, HBase, HDFS, MapReduce, Data Analytics

RHadoop is a bridge between R, a language and environment to statistically explore data sets, and Hadoop, a framework that allows for the distributed processing of large data sets across clusters ofā€¦

David WORMS

By David WORMS

Jul 19, 2012

HDFS and Hive storage - comparing file formats and compression methods

HDFS and Hive storage - comparing file formats and compression methods

Categories: Big Data | Tags: Business intelligence, Hive, ORC, Parquet, File Format

A few days ago, we have conducted a test in order to compare various Hive file formats and compression methods. Among those file formats, some are native to HDFS and apply to all Hadoop users. Theā€¦

David WORMS

By David WORMS

Mar 13, 2012

Two Hive UDAF to convert an aggregation to a map

Two Hive UDAF to convert an aggregation to a map

Categories: Data Engineering | Tags: Java, HBase, Hive, File Format

I am publishing two new Hive UDAF to help with maps in Apache Hive. The source code is available on GitHub in two Java classes: ā€œUDAFToMapā€ and ā€œUDAFToOrderedMapā€ or you can download the jar file. Theā€¦

David WORMS

By David WORMS

Mar 6, 2012

Hadoop and HBase installation on OSX in pseudo-distributed mode

Hadoop and HBase installation on OSX in pseudo-distributed mode

Categories: Big Data, Learning | Tags: Hue, Infrastructure, Hadoop, HBase, Big Data, Deployment

The operating system chosen is OSX but the procedure is not so different for any Unix environment because most of the software is downloaded from the Internet, uncompressed and set manually. Only aā€¦

David WORMS

By David WORMS

Dec 1, 2010

Node HBase, a NodeJs client for Apache HBase

Node HBase, a NodeJs client for Apache HBase

Categories: Big Data, Node.js | Tags: HBase, Big Data, Node.js, REST

HBase is a ā€œcolumn famillyā€ database from the Hadoop ecosystem built on the model of Google BigTable. HBase can accommodate very large volumes of data (tera or peta) while maintaining highā€¦

David WORMS

By David WORMS

Nov 1, 2010

Canada - Morocco - France

We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Scienceā€¦

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.

Support Ukrain