What is Big data

The most famous mis conception about Big Data is that it is related with only huge amount of data. If data of organization

Always remember four V which defined the basic of big data –

1) Volume –

2) Variety –

3) Veracity –

4) Velocity –

Both the definition of Big Data and the execution of the related analytics are still in a state of flux; the tools, technologies,
and procedures continue to evolve. Yet this situation does not mean that those who seek value from large data sets should
wait. Big Data is far too important to business processes to take a wait-and-see approach.
The real trick with Big Data is to find the best way to deal with the varied data sources and still meet the objectives of the
analytical process. This takes a savvy approach that integrates hardware, software, and procedures into a manageable
process that delivers results within an acceptable time frame—and it all starts with the data

hadoop and big data

Success with Big Data analytics demands something more: a new way to
deal with large volumes of data, a new storage platform ideology. Enter Hadoop, an open source project that offers a platform to work with Big Data

Hadoop solves the most common problem associated with Big Data:
storing and accessing large amounts of data in an efficient fashion.