Storing Big Data with HBase
HBase is highly configurable and gives great flexibility to address massive amounts of data efficiently. Now let's understand how HBase can help address your significant data challenges.
- HBase is a columnar database. Like relational database management systems (RDBMSs), it stores all data in tables with columns and rows.
- The intersection of a column and row is called a cell. Each cell value contains a "version" attribute that is no more than a timestamp, distinctively selecting the cell.
- Versioning tracks swap in the cell and makes it possible to redeem any version of the contents.
- HBase stores the data in cells in decreasing order (using the timestamp), so a reader will always first choose the most current values.
- Columns in HBase belong to a column family. The column family name is used to identify its family members.
- The rows in HBase tables also have a key associated with them. The structure of the key is very flexible. It can be a computed value, a string, or another data structure.
- The key is used to control access to the cells in the row, and they are stored in order from low to high value.
- These features together make up the schema. It can alter new tables and column families after the database is up and running.
We will close the article now with frequently asked questions since you get some idea of Storing Big Data with HBase.
Frequently asked questions
In big data processing, What is the role of HBase?
HBase is a non-relational column-oriented database management system that runs on top of the Hadoop Distributed File System (HDFS). It gives a fault-tolerant way of storing sparse data sets, standard in many big data use cases.
What type of database is HBase?
HBase is a column-oriented, non-relational database that suggests that data is stored in separate indexes and columns by a solitary row key. This architecture permits rapid retrieval of individual rows and columns and efficient scans over different columns within a table.
Does HBase support partitioning?
Yes, Hbase supports partitioning. It does data partition based on non-overlapping, sorted key ranges around regional servers in the file format of HFile. Within each HFile, data will be available based on the critical value and the column name.
Explain the storage format of HBase data?
HFiles are storage files created to store HBase's data efficiently and fast. The HMaster is responsible for assigning the regions to each HRegionServer when HBase is started. It is responsible for managing everything related to rows, tables, and coordination activities.
How does HBase store data?
Data is kept as byte arrays in the cells of the HBase table because there are no data types in HBase. When the value is kept in the cell, the cell's content or value is categorized by the timestamp. So each cell of an HBase table may contain multiple versions of data.
Conclusion
In this article, we have extensively discussed Storing Big Data with Hbase. We discussed the Hadoop Foundation and Ecosystem and how to store Big Data with HBase.
After reading about Storing Big Data with Hbase, are you not feeling excited to read/explore more articles on the topic of HBase? Don't worry; Coding Ninjas has you covered. To learn, see Architecture of Hbase, Hbase Features, Hbase Troubleshooting, and Hbase Shell.
Refer to our Guided Path on Coding Ninjas Studio to upskill yourself in Data Structures and Algorithms, Competitive Programming, JavaScript, System Design, and many more! If you want to test your competency in coding, you may check out the mock test series and participate in the contests hosted on Coding Ninjas Studio! But if you have just started your learning process and are looking for questions asked by tech giants like Amazon, Microsoft, Uber, etc; you must look at the problems, interview experiences, and interview bundle for placement preparations.
Nevertheless, you may consider our paid courses to give your career an edge over others!
Do upvote our blogs if you find them helpful and engaging!
Happy Learning!
568+ registered 
