Edureify has discussed the big data handling tool Hadoop in detail previously. Students got an insight into Hadoop, the open-source framework for storing and processing large datasets of data that ranges from gigabytes to petabytes.
Edureify had also mentioned the four Hadoop modules. In this article, Edureify, the best AI Learning App will talk about HBase, a Hadoop Distributed File System database management system.
Read further to know more and also get the details regarding the full-stack development coding Bootcamp of Edureify.
What is HBase?
HBase is an open-source, column-based, non-relational database management system that runs over HDFS. It is a database system that runs in the Hadoop environment. HBase is a NoSQL distributed big data store that enables random but consistent real-time access to petabytes of data. It is an efficient database management system for dealing with large, sparse datasets.
HBase easily combines with the Apache Hadoop ecosystem.
Features of Apache HBase
The following are the features of HBase-
- Supports low latency operations
- Works in real-time speed to build complete end-to-end workflows within a single platform
- It is scalable, i.e., provides standard and linear scalability over cluster environment
- Consistent in reading and writing operations
- It is flexible, i.e., can store any type of data without any modeling
- Has extensive use in reading and writing operations
- It is an easy-to-use Java API for client access
- Has automatic failover supports between Region Servers
Working of HBase
HBase stores data in the form of tables. The data are stored in individual columns and are appointed a unique row key. This functionality helps in the rapid retrieval of data from individual rows and columns and scans over individual columns within a table.
In an HBase cluster, data and requests are distributed across all servers enabling one to query results on petabytes of data within a few seconds. The system is mostly used to store non-relational data that can be accessed with the HBase API.
HBase Applications
The following are two examples of HBase Applications-
- FINRA- The Financial Industry Regulatory Authority is one of the largest independent securities regulators in the USA. The organization monitors and regulates financial trading practices. FINRA utilizes Amazon EMR to run the Apache HBase on Amazon S3. This grants them an interactive application search by getting access to 3 trillion records.
- MONSTER- Monster is a job platform that connects millions of people and jobs. The platform uses Apache HBase on Amazon EMR to store advertising campaigns and clickstream for downstream analytics.
Some other uses of HBase are-
- For message services
- Real-time data collection and analysis
- Internet of Things applications, and more
HBase Commands
The following is a list of HBase commands-
- Create- Helps creating a new table that can be identified by ‘table 1’ and ‘colf’ helps identifying the Column Family
- Put- It inserts new record in a table. The new row can be identified by ‘row’.
- Scan- Helps return the data stores in table
- Get- In the table, this command returns the records that match the row identifier
- Help- Provides a list of commands
So here was the beginner’s guide to HBase.
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Some FAQs on HBase-
1. What is HBase?
HBase is an open-source, column-based, non-relational database management system that runs over HDFS. It is a database system that runs in the Hadoop environment. HBase is a NoSQL distributed big data store that enables random but consistent real-time access to petabytes of data. It is an efficient database management system for dealing with large, sparse datasets.
2. Is HBase an HDFS database management system?
Yes, HBase is an HDFS database management system.
3. Mention two applications of HBase.
FINRA and MONSTER are two applications that use HBase.
4. Is HBase open-source?
Yes, HBase is open-source.
5. From where can I learn more about HBase?
Join the best coding Bootcamp of Edureify to learn all about HBase.