Ans: Data is considered as Big data when you fail to manage it efficiently. Now a days storage is become cheap and it will be cheaper in future, which means it has become easy to collect mountains of data. But the ability to actually process the huge volume of data quickly and efficiently has not scaled up in parallel. Traditional tools are not capable to analyse and store data efficiently and accurately. Here Apache Hadoop comes into picture to handle BIG DATA .It makes data mining, analytics, and processing cheap,fast and efficient. Hadoop can take most of your big data problems solve the issues. Apache Hadoop is cheap and an open-source Apache project.Anybody is free to use it. Hadoop runs on commodity hardware (i.e. normal everyday computers), so you don’t have to buy million-dollar specialized database machines.
