Big Data
Data Ingestion
Scalable and open source platforms to collect, ingest, and manage multiple data sources
Data Pipelines
Depending on your data ecosystem, set up stream or batch processing to process real-time or historical data
Storage
Build interactive dashboards and self-service Business Intelligence
Analytics
Set up Data Lakes and Warehouses for efficient storage and retrieval of data
Our Big Data Service Capabilities. We’ve Achieved Phenomenal Results For our Clients with our Big Data Services
Our capabilities help discover potential sources of data and build a robust Data Ingestion mechanism to collect, ingest, and manage multiple data sources.
Our Data Storage experience includes engineering scalable data warehouses and data lakes to efficiently store and retrieve data.
Proficiency in databases, multiple tech stacks, and database models such as Graph, Search, Columnar, and Timeseries ensure that we choose the best available solution to suit your use case to make data available fast and in the right format.
To manage volume, variety, and velocity of data, our experienced data engineering teams build Data Pipelines that have integrated quality checks to process stream (real-time) or batch (historical) data.
Business also leverages our BI and Analytics capabilities to build interactive and self-service dashboards to consume and visualize their data to derive insights for enhanced decision making.
We leverage popular BI platforms or custom make them to suit the organization’s needs.
Our Artificial Intelligence practice allows the business to build custom models to automate decision making.
We partner with clients to set up large scale data management. Our engineers have hands-on experience in creating, managing, and migrating petabyte-scale data lakes and warehouses using the latest advances in technology. Businesses can therefore get optimized storage costs, maintainability, and retrieval.
Our DataOps services bring in automation and agile development methodologies to Big Data Engineering. We bring in efficiencies to the entire data lifecycle to improve data quality and integration, thereby breaking down silos that exist across various units within the lifecycle. This also allows for better data access for the entire organization.
Our Data Scientists help organizations with feature engineering, data analysis, model validations, and building custom intelligence platforms. Clients leverage our data science practice by utilizing data to better understand their customers, optimize operations, and uncover new business opportunities.
Get the ITB Advantage
We partner with businesses anywhere they are in their journey to extract value from data and turn them into actionable insights – unlocking competitive advantages for organizations.
We help you to break down siloes, use boilerplates to reduce security risks, and optimize your data storage and processing costs. We do all this while maintaining the utmost data privacy.