Data Warehouse and Management
Lately, enterprises are modernizing their approach to data. The first step is to move their data (and often their data tools) from legacy on-premise data warehouses (DW) to future-ready cloud-based systems. Cloud offers enterprises the opportunity to scale capacity based on needs, access their data from anywhere, improve collaboration, and rid themselves of the maintenance and support that on-premise systems demand.
LTIMindtree works on modernizing DWs using cloud solutions like AWS RedShift, Microsoft Azure Synapse, Google Big Query, Databricks, Snowflake, and Informatica Cloud. Through automation, we accelerate the migration of on-premise MPP systems like Teradata, Greenplum, Netezza, and Exadata to cloud DWs, which allow enterprises to take advantage of the hardware features and distributed computing solutions available on the cloud.
Our Cloud Data Warehouse Management solutions support all data types, traditional BI platforms, and various advanced applications used for operational, tactical, and performance management, helping enterprises focus on extracting maximum value from their data.
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Engineering supply chain efficiency for one of the largest o...
Optimizing data engineering pipelines to reduce write-offs and processing time from 24 to 6 hours for improving perishables availability for customers.
Leveraged distributed architecture to increase a European Ai...
Use historical sales data stored in Hadoop to engineer price elasticity estimator to forecast future demands and offer optimal seat price to customers.
Scalable and shared analytical platform for an investment fi...
Delivered a cloud-based scalable cost-effective platform on performance analytics for a UK-based global investment firm.
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Customer data platform: Delivering extraordinary data-driven...
Building an integrated data ecosystem that delivers personalized experiences in real time to increase purchases, build brand loyalty, and prevent churn.
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Winning in the age of personalization
The survey discovers where organizations are in their digital journey, how consumers are perceiving digital experiences, and consumer expectations.
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