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Big Data

Big data analytics has become one of the major trends in the recent years wherein every company wants to jump in for their competitive advantage whether they are in the industry of agriculture or healthcare. However, the key and success for getting maximum and effective value from big data is in processing it for generating better insights and taking improved decision-making.

Intense Projects has helped many companies in turning their big data into big opportunities and developing dashboards by blending data from disparate sources. Our big data analytics services in the field of Oil and Gas Industry and Healthcare IT has helped our clients in evaluating new products opportunities and trends, and creating seamless customer experience in a digital world.

Driving value through business intelligence and rich insights

Big Data is not just about velocity, volume, veracity and variety. It is about how you identify the right information from data that is growing exponentially, and use it to add business value.

The next generation of data analytics & visualization.

Due to the proliferation of digitalization, organisations around the world are grappling with a large amount of data and hence are embracing new strategies for implementing big data and for improving customer experiences. Big data analytics is one such strategy adopted by various businesses, which is a process of collecting, organizing and analyzing a large amount of data to uncover hidden patterns, unknown correlations, customer preferences, and other vital information that can assist businesses to make informed decisions. Performed using specialized software tools & applications, Big Data & Analytics involves predictive analytics, data mining, text mining, data optimization, data management, & forecasting. Other features of Big Data & Analytics are:

  • Enables organisations to uncover hidden business opportunities.
  • Help make smart decisions that accelerate business growth.
  • Minimizes risks.
  • Identifies and resolves big data security risks ahead of time.
  • Boosts sales, increases efficiency and improves operations & risk management.
  • Identifies & analyzes data that is vital for future business decisions.

Hadoop

  • Apache Hadoop is an open source project that offers a new way to store and process big data. Hadoop is a framework for storing, analysing and accessing large amount of data, quickly and cost effectively through clusters of commodity hardware. Web 2.0 companies such as Google and Facebook use Hadoop to store and manage their huge data sets.
  • Hadoop is capable of computing on single server to thousands of machines and provides a low cost, but then dependable solution to tackle data management problems.
  • Hadoop ecosystem includes: Hadoop, MapReduce, HDFS, HBase, Zookeeper, Hive, Pig, Sqoop, Cassandra, Oozie, Flume, Spark.

Application

  • Load large sets of structured, semi-structured and unstructured data coming from UNIX, NoSQL and a variety of portfolios
  • Reports for the BI
  • Map Reduce jobs for data cleaning and pre-processing.
  • Data visualization
  • Big Data Management
  • Big Data Analytics
  • Data architecture including data ingestion pipeline design
  • Data modeling and data mining
  • Machine learning and advanced data processing,
  • Optimizing ETL workflows
  • Real time queries over Big Data
  • Data Stream Processing
  • Data Serialization
  • Data Analytics