BI on Hadoop: Principal Reasons Why the New-Age BI Professionals Must Understand Hadoop

The biggest challenges in Business Intelligence (BI) on big data can be tackled by moving your enterprise data warehouse to Hadoop and do big data hadoop analytics with the help of analyzing the multi-structured data. Hadoop has harmonized several different traditional data storage platforms and services. Therefore, several companies across the globe have started using BI tools on Hadoop to receive maximum business value by analyzing all of their data. 

Hadoop BI tools can handle some of the key challenges bottlenecks of the business intelligence, procedures such as multi-structured data, big data and advanced analytics. Business enterprises worldwide are now incorporating Hadoop with its BI analytics and technology platforms.

Read on to learn why it is important for the new-age BI professionals to understand Hadoop!

Hadoop and Business Intelligence- Develop Concrete Projects in Big Data and Hadoop:

The latest stats reveal that Hadoop and its flavors have garnered huge popularity in comparison to the other storage platforms. BI Professionals that have understood Hadoop and business intelligence are integrating Hadoop with big data analytic tools, web servers, big data visualization tools, reporting tools, data warehouses and analytical databases. 

Large business enterprises across the world are noticing a surge in their data volumes, which is unstoppable. Hadoop BI tools are quickly catching up for analytics on this massive volume of data. In coming years, the Hadoop BI tools are expected to impact around 50% of the IT industry and this makes it extremely important for the upcoming BI professionals to understand Hadoop.

Why Hadoop BI Tools Outshines Over The Conventional RDBMS?

Some of the key aspects of the BI process are storage of Big Data, managing of the unstructured data and refining analytics. BI professionals make use of different tools to fetch useful data which are further used to generate custom reports and this is where the HDFS (Hadoop File Distribution System) proves itself.

Significant Benefits of Hadoop BI Tools over the Conventional RDBMS:

 

• Scalability: Hadoop is infinitely scalable and is designed to systematically store and allocate massive amounts of data in multiple servers functioning in parallel. In contradiction to the conventional RDBMS's which are un-scalable, Hadoop applications can easily run on hundreds of nodes, thereby enabling the processing of petabytes and zetabytes of data instantly. This makes it important for BI professionals to understand Hadoop.

• Cost-Effective: With the data explosion, Hadoop has become the most economical data storage solution. While processing massive amounts of big data, scaling of conventional RDBMS's turns out to be very costly.

• Flexibility: The flexibility of Hadoop BI tools is another persuasive reason why the BI professionals ought to understand Hadoop. Whether it is social media, clickstream data or email interactions, Hadoop can derive constructive data from all sorts of data resources. Hadoop BI Tools can be resourcefully used for reference systems, marketing campaign analysis, scam recognition and data warehousing.

• Fail-Proof: While making use of Hadoop BI tools, data sent to a single node also replicates on all the other nodes in the cluster, so if that node fails then, there would always be a backup copy of that data available in the cluster.

Learning Hadoop and business intelligence and its importance is synonymous with a thriving career in BI. Hadoop has already proven its benefits in different segments of businesses.  Undoubtedly, these are the most vital reasons for the new-age BI professionals to understand Hadoop!