We start with Data strategy, data sensitivity requirements, existing licenses and resources, business problem on hand and then provide tailor-made solution. Security, maintainability, data quality are in-built into every design. We leverage existing assets and investments to the extent possible.
Our extensive experience in data migration, ETLs come handy in supporting your migration. You may require a simple lift and shift or a detailed clean before move. We follow medallion architecture in the latter case to transfer only gold standard data to your production environment.
We recommend and specialize AWS Fargate, which is a serverless compute for containers. Fargate is compatible with Amazon ECS or EKS. With Fargate, you no longer have to provision, configure, or scale clusters of virtual machines to run containers. Works for Web apps, microservices, data processing, AI/ML apps.
Data Lakehouse has emerged as the de facto standard for data organization due to its capability pf combining warehouse and AI/ML data lakes. ACID compliance, reduced vendor lock-in make this paradigm attractive. We can make the right Lakehouse for you on AWS, with or without Databricks.
November 9, 2023
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As a director of Data Opps, I managed Y Point Analytics team from 2019-2022. In my 25+ years of managing teams, I have yet to come across a team with such high ethics, team work & passion to deliver. YPoint team functions like a well oiled machine, taking in complex data integration and analytic requirements and creating high-quality, well documented, performance optimized code that continues to run for years. They do all this while juggling 100’s of data pipeline requests on a regular basis. This results in minimum production issues, satisfied clients, and happy employees.
YPoint Solutions did a fantastic job implementing a state of the art 'Digital Assistant' for US Medical Affairs. The entire team was great to work with, and tailored solutions specific to our needs at GlaxoSmithKline. Amazed at how quickly the solution was implemented from the time initial conversations started. Highly recommend!