Factors Which affects a Bigdata entity The general consensus of the day is that there are specific attributes that define big data. In most big data circles, these are called the four V’s: volume, variety, velocity, and veracity The ultimate objective of any big data project should be to generate some sort of value for the company doing all the analysis. Otherwise, you’re just performing some technological task for technology’s sake. FOR TRAINING VISIT : http://asiteducation.com/
Big Data: The 5 Vs Everyone Must Know At the beginning there was Gartner, who defined Big Data with 3 Vs: 1. Volume 2. Velocity 3. Variety Then the issue was raised that Big Data new insights can be actually quite uncertain, and so the 4th V arrived: 4. Veracity But all this was still leaving out the deep core, the only reason why one wants to use Big Data: 5. Value
“Mahout” – This word is used to define a man who controls the elephant by riding it and here the elephant is hadoop. This powerful tool is the combination of implementations of very popular and needful machine learning algorithms.
In July, the Winterberry Group—in partnership with the Direct Marketing Association—released a whitepaper titled "The New Rules of the Road: Marketing Data Governance in the Era of 'Big Data.'" Data governance in marketing is an evolving discipline, and it will be easier for all of us if we can work together to define and refine the best practices we can all follow.
Study Defines the CDO Reason, Role, and Responsibilities for 2017:: Among organizations that have created an office around the chief data officer, three primary business objectives stand out as driving forces. They are to: Improve efficiency (cited by 93 percent of CDOs surveyed by Gartner Group as a primary or secondary objective); increase competitive advantag ..