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.
Optimization of Databricks cluster or compute engine usage and storage.
Automated monitoring, or observability, of systems data on Databricks.
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