Insights on BI Tools on Hadoop

With the espousal of any new technology, business enterprises are tasked with evaluating their success and showcasing value to the company and Big Data is not any different.

Increasing role of BI (Business Intelligence) on Hadoop and data warehousing have made the term synonymous with Big Data. Hadoop, the open source Apache framework has proved its significance in catering to the toughest challenges in BI today. 

The modern day ultra-connected world is generating huge volumes of data quickly. This makes big data analytics an important tool for business enterprises looking to leverage their data for better informed decision making. In the midst of this entire big data revolution, Hadoop analytics has been heavily encouraged and adored as a big data storage and analytics platform that delivers one-size-fits-all solution for the new-age business enterprises. While Hadoop has garnered a lot of hype, there are few situations wherein running workloads on a traditional database might even work. For business enterprises evaluating, which functionality would better serve their big data use requirements, let us read on and understand few key questions to be asked while choosing the best Hadoop databases. Hadoop is an open source software framework, which is particularly built to deal with huge volumes of structure and semi-structured data. Companies that are considering Hadoop adoptio

As an entrepreneur, have you ever felt the need to discover useful and meaningful information from a complex and massive amounts of raw data? Everyone needs data to be better-informed while making important business decisions.  

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. 

Several companies keep looking for right approach to migrate their data coming from multiple data sources to a Hadoop-based framework. This gets driven by the fact that Hadoop offers a cheaper and more scalable platform to store and evaluate the historic data with the improved granularity and flexibility of integrating all sorts of data sources within their analysis to obtain resourceful insights. The primary aim is to fetch the benefits of Big Data analytics for the companies as for the companies as quickly and interactively as possible. Most companies don’t prefer to change their BI tools and use new big data analytics tools as they are familiar with the existing ones. Business users must be capable of constantly running the reports and questions that they have and garner insights through the data collected by them on Hadoop.  While the companies try connecting the existing BI tools on Hadoop directly, they give up soon enough as there is so much wait for queri