We are a next-generation global technology solutions provider, with 20+ years of experience in providing best in class solutions to 430+ customers in 41+ global locations across all continents. The combination of our technology-driven products and services with our deep domain expertise has enabled them to simplify operations, create innovative products and services, lower costs, maximize revenue, and gain a competitive advantage.
At MTSL, we offer our Big Data Management services leveraging software and tools to make use of advanced analytic techniques to process large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Overview
We deliver top-class big data management services (using Amazon Kinesis, Amazon MSK, Amazon EMR, Hadoop, etc.) that empower enterprises with timely data management, governance, and advanced data engineering techniques to deliver intelligent insights for better decision-making. Our services cover the entire data lifecycle management from data storage, integration, and consumption.
Our team enables enterprises in organizing scattered enterprise data centrally, to power global analytics solutions for users across Globe, through advanced Data engineering techniques.
We offer:
- Big Data Engineering & Real-time Processing
- Data lakes & Data Warehousing
- Cloud-based Big Data Management
- Data Migration
- Data Technology and Architecture Consulting
Highlights
- Big Data Management – <ul> <li>Collect, store, and manage large amounts of data coming from various sources and transform it into insights</li> </ul> Data Migration – <ul> <li>Move data from one location to another or one application to another without any data corruption</li> </ul> Data Lakehouse – <ul> <li>Bringing together the best of both worlds- flexibility, cost-efficiency, and scale of data lake with the data management of data warehouse to meet today’s complex demands</li> </ul>
- Our focus areas: <ul> <li>Data Hygiene</li> <li>Data Value</li> <li>Efficiency & Automation</li> <li>Data Security</li>
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