Braja Big Data Appliance is a flexible, multi-purpose system for Hadoop and its ecosystem. Braja consists of pre-installed and configured Big Data components for large-scale big data management.
Although Braja comes with pre-installed components of Big Data, Braja is highly flexible and can be customized to the user’s needs, as it uses the YAVA Hadoop Distribution data management package. The appliance runs on Linux and JVM. It includes Apache Ambari for cluster-wide administration and monitoring. For in-depth analysis, it also connects to an open-source distribution of the statistical environment of R. Rather than building your system from scratch, Braja eliminates the long and labor-intensive effort of choosing and configuring hardware, determining the suitable open-source components and versions, and integrating and tuning the overall configuration.
Hadoop and Its Ecosystem
Hadoop’s ecosystem is the most powerful and well-known Big Data platform. It has been widely adopted by leading internet companies, and it has proven to be very reliable. An active development community is one of the key reasons for Hadoop’s success.
Braja Big Data Appliance uses open source software components, which allow for significant cost reductions while maintaining good performance.
Faster Time to Value
Although there is tremendous benefit in installing a Hadoop cluster, it is not a trivial exercise. It requires significant time and expertise to implement. Braja Big Data Appliance allows you to exploit the value of Big Data faster, allowing you to stay a step ahead of the competition.
Hadoop’s framework is specifically designed to support unlimited scalability. This means that you are able to store huge amounts of data on a single platform, as you can simply add more servers to handle the increasing amount of data that you need to process and store.
Braja Big Data Appliance is produced by SOLUSI247, a company with experience in Big Data for fifteen years, and supported by many experts throughout Indonesia. As a result, SOLUSI247 is able to provide fast and accurate expert technical support.
Braja comes with a pre-installed Big Data framework, including batch-processing, real-time, and in-memory processing capabilities. With an extensive framework selection, Braja can cover your data processing needs.
Storage on Hadoop
The simplest use of Braja is using it as a medium for data storage. Detailed and old data can be stored in clusters, accessible to the user for in-depth analysis. The distributed architecture, unlimited scalability, cost-efficiency and reliability make it a very competitive enterprise storage solution.
ETL on Hadoop
Braja is fitted out with a variety of software and Big Data processing framework, which allows users to create ETL processes by utilizing Hadoop’s capabilities. Hgrid247 is one component that helps graphically design ETL processes to minimize the need for coding.
SQL Data Exploration
Apache Phoenix enables users to use SQL queries to explore data on top of Hbase, a column-oriented distributed database management system that works on HDFS.
Easy to Manage
Braja is equipped with Apache Ambari, a tool that facilitates capabilities in the Apache Hadoop Cluster. Ambari provides a simple and elegant user interface.