Big Data

Big data is the huge volume of data. Big Data is massive, heterogeneous, badly structured which is more than petabyte. It can’t be handle by any single machine. The range of big data starts from a few hundred GBs to beyond it. if the size of data increased beyond limit and that can not access by single machine than its called big data. Here distribution of data on multiple computers rather than scaling up the single machine is done.

Hadoop

Hadoop is the most popular tool to organize big data. It helps to distributed storage (using HDFS) and parallel data processing (using Map Reduce). Hadoop is an ecosystem that consists open source components. Hadoop helps many organizations to store, analyze and process the data in a better manner. Hadoop enables running of numerous analytic workloads on similar data & at the same time on industry standard hardware.

The challenges related to Big data :

• Efficient ways to contextualize the data
• Effective ways for visualization and analysis of results which come due to Big Data
• To extract insights from Big Data, it is stored, processed and streamlined
• Identification of Big Data
• Explore innovative, fresh ways to unearth the helpful specific data
• Recreation of ways to model the problems to solve them with help of Big Data

It provides job oriented training which helps candidates during placements. Along with training, it gives 100% placement assistance along with complete interview guidance. The trainers are working IT professionals and they give training as per industry standards.