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BIG DATA 2018-01-10T12:34:53+00:00

Get Big Benefits from Big Data – With a Structured Engagement Approach

  1. Define business goals that are expected from the insights derived from ‘Big Data’

  2. Formulate a primary business use case to start with

  3. Conduct feasibility of business use case including availability of data

  4. Ensure a defined data governance framework to adequately protect information privacy and security

  5. Connect stakeholders including senior management as well as those mid and operational level users who are directly linked with the primary use case

  6. Execute a proof of concept around the primary business use case (PoC). PoC should aim at combining internal data from data warehouses, log files and transactional systems such as ERP, CRM, log files with external data from social media, benchmarks or third party data

  7. Upon validation of PoC, assess choice of tools/technologies and sizing of infrastructure required for enterprise wide implementation

  8. Take a structured approach of ingesting data from different platforms, transforming and proceed with analysis and insights

  9. Monitor adoption and ROI of big data system

Big Data Consulting Company
Get your Best Fit Big Data System Now!

Big Data Services

Big Data Analytics Companies

Consulting

Data Strategy, Technology Selection and Architecture Advisory

Big Data Analytics Consulting

Data Integration and Management

Extraction of Big Data from diverse sources and processing of the same

Big Data Analytics Solutions

Cloud Services

Secure, scalable and high-performance big data platform on the cloud

Big Data Consulting Firms

Discovery Services

Visualization services on top of Big Data processing landscape

Big Data Consulting Services

Performance Tuning

Monitoring, maintenance and enhancement to improve performance

Big Data Consulting

Training

Training on technologies like Hadoop, Apache, Spark, Hive, Cassandra, MongoDB

Typical Architecture

Ingest-Transform-Analyze-Visualize

High volumes of complex data are acquired from a variety of data sources and processed.
The data is merged, transformed and processed before load to target data warehouse, to enable analysis on top of such data

Big Data Consulting Company

Technical Considerations for Recommending Tools/Technologies

What is the structure of data sources which needs to be leveraged within business? Is it unstructured, semi-structured or highly structured?
What is the analysis type which should be used? Is this batch or streaming/real-time?
What is the volume of data received? Are these massive chunks or small and fast chunks?
How to store data or how to process it?
Data frequency of the data being processed? Is it on-demand, continuous feed or real-time?
What type of data sources do we need to work with? Web & Social, Machine generated, human generated, biometric, transactional system or other?
What will be the consumers of this data? Will it be human, business process, other enterprise applications or other repositories?
How to visualize results?
Contact our experts!

Expertise across Technology Stacks

GrayMatter has an experienced team of Big Data Specialists. Our Big Data experts have skills in a variety of technologies & tools including Hive, Cassandra, Hadoop, Spark, Hbase, MongoDB, Kafka and Flume