Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.
Determining root causes of failures, issues and defects in near-real time.
Generating coupons at the point of sale based on the customer’s buying habits.
Recalculating entire risk portfolios in minutes.
Detecting fraudulent behavior before it affects your organization.
Big Data Consulting
Define client's Big Data strategy, suggest and select the suitable technology tools and processes to achieve tactical objectives
Big Data Integration, Migration, Development and Implementation
Fast and reliable Big Data solutions to serve the growing needs of enterprises in the competitive environment
Data Lake Handling and Processing NoSQL data
Ability to harness more data, from more sources, in less time, and empowering users to collaborate and analyze data in various ways leads to improved, quicker decision making
Big Data Architecture and Solution Design
Our precisely designed big data architecture plays a fundamental role to meet your big data processing needs
5. Big Data Modelling and Algorithm Development
Models and algorithms to build brilliant solutions which make a big difference to our clients' businesses
Big Data Analytics
We provide comprehensive services to assist you in harnessing the power of your big data
7. AI and Machine Learning for Big Data
Big Data, Machine Learning, and AI can transform business processes
Big Data Testing, Provisioning and Automation
Comprehensive services needed for discovery, delivery, implementation, administration, testing, automation and maintenance for every big data solution
Analyze the requirement and select the base tools like SQOOP, KAFKA, FLUME, Spark Streaming, Storm
Select data storage tools based on the data complexity. Tools like Microsoft, Casandra, MongoDB and HBase
Cleaning of the data with the help of Scala, Python, R, Park-SQL
Perform data Mining with Python, Spark, etc
Visualize the data with the help of Table, PowerBI, Talend, etc.