The Vital Role of Hadoop in BI (Business Intelligence) and Data Warehousing

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 demand for immediate and accurate results on data management, transformation, and analysis for internal and developmental uses of the businesses have led to efforts by the vendors to work more on Hadoop framework to provide solutions for working with Big data, advanced analytics and multi-structured data. 

Gradually, Hadoop BI tools have already made its way to the systems in most of the business houses across the globe playing a significant role in BI/DW! 

Take a Look at the Important Role of Hadoop in BI and Data Warehousing:

• Facilitating Big Data Analytics: 

     The most significant role that the users realize with respect to Hadoop is its easy integration with Business Intelligence and Data Warehousing. This leads to further analytics for other internal and developmental uses.

• Providing Numerous And Accurate Business Insights:  

     The adaptability of the Hadoop framework to the analytic methods enables the organization to get maximum value from Big Data by way of producing numerous accurate business insights.  Big Data now is a source of insights rather than being just a cost center. The insights produced with the usage of exploratory analytics supported by Hadoop BI tools are far better than the ones produced under the traditional Business Intelligence and Data Warehouses. There is no scope for tampering with the data with Hadoop on guard. The insights give scope for more discoveries and understandings about the business, operations and the customers.

• Easing the Advanced Form Of Analytics:   

     The online analytic processing is still the most used technology for analysis in the business forum! However, the more advanced technologies in the Hadoop environment produce even better results. Hadoop based exploratory analytics used on the Big Data of the business houses with data mining, statistical analysis, complex SQL and such other non-OLAP technologies produce results of phenomenal uses for the business. Such a method often uses data visualization as well.

• Assuring Cost-Effectiveness:  

    The technologies that are used in the Hadoop environment are very cost-effective and the results produced justify the cost of the technology. Besides, the organizations can capture more data even when the hardware and the software in usage are low in cost. Hadoop understands the depth of the pockets of the users.

• Complementing Data Warehousing Needs: 

     Though debatable, many users feel that Hadoop can safely show the way out to the data warehousing concept. With Hadoop installed, the advanced analytics are in place leaving no room for the data reporting requirements. The analytics presented by Hadoop and business intelligence give scope for understanding the consumer behaviors, trends and opportunities in the market, and even frauds erupting inside the organization. 

It has come a long way from the years of its being launched. Vendors are of the opinion that Hadoop BI tools and technologies would soon be used complementing the practices of Business Intelligence and Data Warehousing, data integration and analytics. The business houses better be Hadoop ready.