HBase is described to be an open-source which is a non-relational distributed database and it is modeled after the Google Big Table and it is written in the java language. It was developed as part of the Software Foundation of the Apache as Apache Hadoop project and it is running on top of the HDFC which stands for Hadoop distributed file system. It can provide a fault-tolerant way for the process of storing a huge quantity of sparse data that is a really small amount of information that is caught within a huge collection of empty as well as important data. HBase has features of compression as well as an operation which is in memory and bloom filters. It runs on top of the HDFC and it is not to be well suited for the faster process of reading as well as writing the operation on the dataset that is huge. The HBase is not a replacement which is Direct for the SQL database which is Classic but we can say that Apache Phoenix can provide the user and the developer and SQL layer for the HBase as well as the driver of the JDBC which can be integrated with different business intelligence applications as well as for analytics. It permits the user and developer to connect to the database via the information drivers from the business intelligence as well as the reporting programs. The HBase can serve a lot of data-driven websites but unfortunately, the messaging platform of Facebook recently migrated from the HBase. It began his project in the company of the power set to process a huge amount of data for natural language research and since the year 2010, it is known to be the top-level Apache project.
The features on attributes of the CData Drivers for HBase
It has the following features and attributes that are stated below such as:
It has linear as well as modular scalability.
It is known to be strictly consistent during the process of reading and writing.
It is automatic and has a configurable shredding of the tables.
It has automatic failover support for the user and the developer between the region servers.
It is a very convenient best class for the backing of the Hadoop map-reduce job along with the tables of the HBase.
It can support the process of exporting the metrics with the Hadoop metrics subsystem.
It is very easy to use the Java API for the access of the clients and users.
BI & Data Visualization
The drivers are capable of offering the users and developers an easy as well as a fast manner by which they can connect to the real-time data of the HBase with the help of the BI which stands for business intelligence, Analytics, as well as data visualization technology. It can provide a query performance to the user which is unmatched as well as comprehensive access to the data of HBase along with metadata and integrate seamlessly with the user's web Analytics tools. The connectors are capable of extending the user's favorite application to access any data source via the established standards such as JDBC and ODBC.
ETL & Replication
Starting from drivers as well as adaptors capable of extending the user's favorite ETL tools with the connectivity of the HBase the ability to integrate the solutions and provide a reliable, robust as well as a secure data movement to the user and developer. It can connect to the user data warehouse as well as the RDBMS to facilitate the process of operational reporting, offloading of the queries as well as increasing the performance, and at the same time supporting the government initiatives of the data. Archiving data for the process of disaster recovery is possible as well with the help of HBase.
It can work along with the database management application straight along with the data which is HBase.
Workflow & Automation
It can integrate with the HBase via the program of automation as well as workflow.
It can integrate from different other evolution technology with the help of the HBase what are user and developer.