Organizations all told industries increasingly depend on data to create critical business decisions—which new products to develop, new markets to enter, new investments to form, and new (or existing) customers to focus on. To be addressed they also use data to spot inefficiencies and other business problems that require. To assign a numerical value to
The era of Big Data has arrived in the data domain, with enterprises dealing with petabytes and exabytes of data position. Data storage became extremely difficult for industries until 2010. Now that popular frameworks like Hadoop and others have overcome the storage challenge, the focus is on data processing. And here is where Data Science
Data analytics is not a familiar word and many people still get confused in understanding it. If this is the case with you too, then you are at the right place. Data analytics is a broader term, analytics basically clears the concepts of analysis. Data analytics is important from a business perspective. What is data
Data science and data analytics are emerging technologies. There is a fine line between data science and data analytics. They both are almost similar with a slighter difference. Data science builds questions and answers them for the future whereas data analytics involves checking hypotheses. In today’s world, everything is done by either data scientists or