With Big Data, the technology environment is much more complex. You’ve got Hadoop, Pig, Hive, Python, Spark, YARN, Mahout, etc., etc. That also encompasses a mix of semi-structured and unstructured data -- for example, internet clickstream data, web server logs, social media content, text from customer emails and survey responses, mobile-phone call-detail records and machine data captured by sensors connected to the internet of things. Our practice includes:

  • Data Discovery: BIFACT engages data scientists and analysts to understand the requirement,identify the volume, velocity & variety of data and documents the data.
  • Solution Identification: We enagae Big Data/Analytics Solution Architect who is responsible for understanding emerging and evolving end user usage models and requirements in Big Data and Analytics, documenting those usage models and business, technical and user requirements and designing a solutions architecture to meet those requirements.
  • Technology Identification:We help specifying an implementation HW and SW solution stack. Solution architects document the solution architectures and solution requirements and, when needed, define end user proofs of concept to test the architectures, usage models and corresponding Intel technologies in testbed or real end user environments. They also work with end users and ecosystem partners to deploy those solutions in early adopter production environments. :
  • Data Ingestion/Data Lake/ Storage:The cross-engine integration necessary for a successful Data Lake requires multiple technology stacks that natively support structured, semi-structured, and unstructured data types.We help our clients achieve a target-state architecture, including architecting the environment, selecting components, defining engineering processes, and designing user interfaces.
  • Artificial Intelligence: Both the ability to obtain data about customers, together with the ability to program AI to analyze the data, have become important tools for businesses use to compete. Machine learning requires lots of data to create, test and “train” the AI. Our
  • Technology: MATLAB, R, Python, Lucidwork Fusion
  • NAICS:541511, 541512, 541513, 541519, 541612, 541611, 511210, 561330