Overview

Your Trusted partner in the cloud
Big Data is changing the way enterprises make critical decisions, engage their customers, and hone their growth strategies. At LTIMindtree, we have reimagined the entire Big Data lifecycle to drive superior business outcomes for some of the largest global businesses, helping them manage data effectively, enable deep actionable insights, and deliver superor customer experiences.
We leverage proven frameworks, accelerators and reusable solutions to capture, store, and analyze data and harness the true business potential of the cloud, maximizing ROI for our clients.
Tools & Technology

Discover, transform, and consume data using LTIMindtree Canvas a proprietary platform, and create analytical assets at scale. Avail unlimited space and computing power to address growing data volumes while optimizing costs.

Benefits

Our Data on Cloud Frameworks will help you transform data into an asset and provide valuable insights. LTIMindtree accelerators have enabled clients to complete data transformation processes quickly, efficiently, and effectively with a structured approach that offers improved productivity, operational agility, and near-infinite scalability.

Higher Productivity

Operational Nimbleness

Near infinite scalability & Agility

Solutions

LTIMindtree Canvas Scarlet


Canvas Scarlet is a comprehensive set of tools that accelerates the journey to AWS. It features to lift & shift data from on-premise to AWS and has ability to migrate the schemas, data and objects contained in the Database. It also facilitates an automated method of reconciliating the migrated data between source and target.

LTIMindtree Canvas Glide


Canvas Glide is a user-friendly tool for managing Amazon Redshift database that features Cost analysis, Database insights, Data sharing, Workload management. It also features ML and predictive analytics on sizing using historical data on usage of the clusters. The solution helps users understand, control, and optimize the expenditure and performance of Redshift.