TCS' Databricks services on AWS Cloud
Accelerate adoption of a unified, open, and scalable data platform on cloud with end-to-end, automated migration on AWS.
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Accelerate adoption of a unified, open, and scalable data platform on cloud with end-to-end, automated migration on AWS.
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Enterprises need a modern architecture for data and AI.
Enterprises are increasingly leveraging data and analytics on cloud to drive real-time insights for a variety of use cases—whether it’s for sustainable farming, offering new product and service experiences, ensuring secure financial transactions, or achieving resilient data management. This has accelerated data, analytics, and AI-ML transformation efforts with a substantial focus on data management, storage, security, and governance. The Databricks data management platform offers a simplified, open, and scalable modern architecture for data and AI, collaboration, quick insights, and innovation.
However, enterprises often face various challenges related to migration of their existing data workloads to Databricks. These include managing complexity and scale, uncertainties related to data quality, migration risks, as well cost and time overruns.
Lay the foundation for a data-driven business where innovation thrives.
Databricks enables comprehensive data management on a simplified, open, and scalable platform with a high-performance compute engine, machine learning capabilities, and comprehensive data governance.
TCS’ Databricks services on AWS enable end-to-end, automated migration to the Databricks environment. We cover the entire cycle from data ingestion, data quality validations, and testing—to accelerate innovation and help enterprises build a foundation for a data-driven business, now and for the future.
Our services include:
Initial discovery and assessment of the existing data workloads.
Developing comprehensive migration frameworks of the on-premises workloads to the Databricks platform on cloud.
Quick data quality review and data profiling through democratization of data engineering in terms of data availability and data interpretation.
Custom automation using advanced AI algorithms to uncover metadata and recommend context-aware data quality rules.
Big data and analytics test automation including test case management, test case design, and reusability across projects.
Automated data monitoring and observability form an integral part of our service. For this, we leverage Databricks’ features such as Databricks system tables, Databricks alert, and SQL APIs, as well as Amazon QuickSight.
An emerging practice in modern data architectures, automated data monitoring and observability enables proactive management of the health of modern data environments. We monitor Databricks usage details, job and query performance, cost and billing for processing data, audit events, and user activities. We also enable advanced capabilities to visualize table and column-level lineage of data assets, and Databricks' AI capabilities to forecast billing and usage patterns. Our services draw upon highly effective and proven techniques of governance and application performance management.
Gain agility and accelerate time to value.
TCS’ Databricks services on AWS help enterprises drive agility and innovation with ready access to the latest and most complete data; faster insights, advanced machine learning, and more. Key benefits:
Rapid implementation of advanced data management platform on cloud for an accelerated time to value
Flexibility to iterate for continuous integration and continuous delivery (CI/CD)
Seamless migration of data from multiple sources, and data management at business application layer with our end-to-end services
Lower costs, enhanced productivity, and relevant insights for superior customer experience
Gain an edge with our expertise in data and cloud transformation with accelerators, and frameworks for successful migration.
When you work with us, you can make the most of our:
Consulting and solution advisory workshops curated to enable unique and successful cloud journeys.
TCS’ expertise in identifying the most effective migration approaches and emulating business rules for data manipulation, calculation, and transformation.
Data migration accelerators and frameworks for enhanced productivity and faster time to market.
Accelerate adoption of a unified, open, and scalable data platform on cloud with end-to-end, automated migration on AWS.
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