Big Data

  • Leverage effective big data analytics to analyze the growing volume, velocity and variety of data for the greatest insights

Get Big Results via Big Data Analytics

The V's (Volume, Variety and Velocity) of data has been reaching an unprecedented level that means big data is a reality now. This phenomenal growth of data doesn’t mean that one must understand big data in order to decipher the information, but we must understand the possibilities of what can be done with big data analytics. At Nextogen, we have developed a range of competencies and technological capabilities across its business to develop a set of innovative data analytics solutions. These solutions will assist our client to improve the quality of critical information in their business.  It’s not about Data. It’s about Insight and Impact. Big data is massive and messy, and it’s coming at you fast builds within multiple data stores in abundant formats. In the process you may accumulate billions of rows of data with hundreds of millions of data combinations. So the solution to the big data challenge requires high-performance analytics to process and figure out what's important and what's not.  Our solutions are either of a “packaged” or “customized” nature, depending on the nature of your requirements. As part of packaged solutions we deliver standard, routine assignments, while with customized solutions you will get complex and specialized assignments.

Accelerate Business Transformation with our Big Data?

Nextogen Domain Expertise

Nextogen’s deals with Big Data projects in a disciplined manner. First our approach to management of data volume in terms of how we store, scale and archive along with security, governance and data quality then comes the rate of data velocity and finally how we optimize and infer intelligence from variety of data. Hadoop's MapReduce involves distributing a dataset among multiple servers and operating on the data which is the "map" stage. The partial results are then recombined into the "reduce" stage. To store data, Hadoop utilizes its own distributed file system, HDFS, which makes data available to multiple computing nodes. A typical Hadoop usage pattern involves three stages: Hadoop is typically useful in drawing correlations, understanding behaviors or identifying patterns like the social media sites who are the major consumers of Hadoop – store the core data in a database and search Hadoop for behaviors, likes, interests and then transfer back the results to reflect in your social media pages as statistical numbers. Google, Facebook, Myspace, etc all use Hadoop.​​

What can you expect from Nextogen?

  • Load Data into HDFS
  • ​Map reduce operations and,
  • ​Retrieve results from HDFS