TCS’ Databricks Services on AWS: Driving Enterprise Agility

Solution

Highlights

A modern architecture for data and AI is a must for easy accessibility, collaboration, quick insights, and innovation.
Migration to a Databricks environment enables enterprise agility, lower costs, enhanced productivity, and an accelerated time to value.
TCS’ Databricks services on AWS enables enterprises with end-to-end, automated migration to a unified, open, and scalable data management platform on cloud.
Through automated data monitoring and observability for proactive management of modern data environments, we help enterprises drive optimization and lower total cost of ownership.

Overview

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.

Solution

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.

Optimization of Databricks cluster or compute engine usage and storage.

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.

GenAI Solutions

Tata Consultancy Services (TCS) is driving transformation with its GenAI services on the robust AWS Databricks platform. By combining TCS’ deep expertise in GenAI and machine learning with the scalability of Databricks, organizations can automate processes, enhance productivity, and unlock the true potential of data.

Our GenAI solutions and services include:

Automatic code generation from a given low-level design document or STM document
Automatic code conversion
Extracting and defining data-profiling metrices for structured and semi-structured data
Recommendations for data quality rules for structured and semi-structured data
Recommendations of Databricks cluster configurations based on system usage
RAG-based models for different domain-centric solutions like healthcare and life science, retail, and BFSI

With TCS GenAI services on AWS Databricks, businesses accelerate their AI and data analytics initiatives, optimize infrastructure for large-scale data processing, automate key tasks like code generation and conversion, and ensure high-quality, reliable data for informed decision-making. With GenAI-based solutions, TCS helps businesses embrace AI-driven transformation in an efficient, cost-effective, and scalable manner.

Benefits

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

The TCS advantage

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.