HBase Introduction

Features of HBase

HBase has several features:

1. Scalable: HBase allows data to be scaled across various nodes as it is stored in HDFS.
2. Automatic failure support: Write ahead. Log across clusters are present that provide automatic support against failure.
3. Consistent read and write: HBase provides consistent read and writes of data.
4. JAVA API for client access: HBase provides an easy-to-use JAVA API.
5. Block cache and Bloom filters: It supports block cache and bloom filters for high-volume query optimization.

Applications of HBase

• Medical: In the medical industry, HBase stores the patient's data such as patient diseases, age, gender, etc., to run MapReduce on it.
• Sports: In the Sports industry, HBase stores the information related to the matches. This information would help perform analytics and predict the outcomes in future matches. 
• Web: The web uses HBase services to store the history searches of the customers. This search information helps the companies target the customer directly with the product or service they had looked for. 
• Oil and petroleum: HBase is used to store the exploration data, which helps analyze and predict the areas where we can find oil.
• E-commerce: E-commerce uses HBase to record the customer logs and the products they are searching for. It enables the organizations to target the customer with the ads to induce him to buy their products or services.       

HBase vs RDBMS

FAQs

1. Why should we use HBase in Apache?
   If we find that our data is stored in collections, such as some metadata, message data, or binary data that is all keyed on the same value, we should consider HBase. HBase should be considered if we need key-based access to data while storing or retrieving them.
    
2. What is the difference between Hadoop and HBase?
   Hadoop and HBase are both used to store a massive amount of data. But the main difference is that in Hadoop Distributed File System (HDFS), data is stored in a distributed manner across different nodes in a network. Whereas HBase is a database that stores data in columns and rows in a Table.
    
3. Why is HBase faster than RDBMS?
   Hbase follows the ACID Properties. HBase is a column-oriented database management system that runs on top of the Hadoop Distributed File System (HDFS). It is suitable for sparse data sets, common in many big data use cases.

Key Takeaways

We learned about HBase and the storage mechanism used in HBase.We also learned what the differences between HBase and RDMBS are. We get to know why HBase is needed even if RDBMS was present. We discovered about applications of Hbase in various fields around the globe.

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