• vikas shukla
• SANJEEV SHUKLA
• PAWAN KUMAR

Today, the enterprise collects more data than ever before, from a wide variety of sources and in a wide variety of formats. Along with traditional transactional and analytics data stores, we now collect additional data across social media activity, web server log files, financial transactions and sensor data from equipment in the field. The amount of data in our world has been exploding, and analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey's Business Technology Office. In this paper, I am presenting basic analysis workflow of big data with six step implementation strategy to build predictive models

Big Data, NoSQL, Hadoop, Hive, Map Reduce, In-memory processing, Data mining, Data analysis, Data transformation, parallel processing

"BIG DATA ANALYTICS: MAKING SENSE OF BIG DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.d694-d697, September-2023, Available :http://www.jetir.org/papers/JETIR2309374.pdf

"BIG DATA ANALYTICS: MAKING SENSE OF BIG DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppd694-d697, September-2023, Available at : http://www.jetir.org/papers/JETIR2309374.pdf