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
