Data Warehouse & Data Lake - Cloud - Hybrid - OnPrem - Streaming Data - IoT - Time Series - AI/ML At Scale
CIOReview honors WinterCorp as one of the ten most promising enterprise architecture consulting companies of 2021.
Read the latest article about Richard Winter. Discover how choosing the cloud data warehouse platform that best suits your needs can save you millions of dollars.
Published in the 2021 CIO Review:
We have architected data lakes and databases for startups to major enterprises. We know both new and established products and technologies and can satisfy the world's toughest requirements.
We'll start by listening carefully to identify your immediate challenges and needs. We’ll assess and quantify your requirements, then we’ll work together to develop your data strategy, architecture & solutions using our fact & measurement-based approach.
We provide real, practical solutions to your toughest data management problems. We’ll employ our engineering skills to deliver targeted solutions for your business needs.
From your interests and goals, and those of your stakeholders, we'll help you create a vision and a strategy for your analytic data ecosystem.
Whether you need a data lake, a data warehouse, a NoSQL database, or a data streaming pipeline we will architect it to fit your environment and strategy. If you have requirements defined, we'll work to them; if not, we'll help you create or quantify them.
Wondering if your data platform is up to you next wave of demands? Whether that new workload or data source should go in the data lake or the data warehouse? On premises or in the cloud? On which cloud data platform? We'll assess, measure if needed, and recommend based on on our unmatched expertise with scalability, performance and data availability. You will learn whether changes are needed and, if so, what to do.
How should cloud fit into your analytic ecosystem? And, how best to manage your data in each cloud you use? We’ll use our engineering approach to help you answer these questions and many more. If you are putting substantial amounts of analytic data in the cloud you need a data management architecture that deals effectively with your use cases and that provides data security, metadata management, performance, scalability and effectively managed cost. You don’t automatically save money when you put a data warehouse workload in the cloud. We’ll analyze your options and create a solution that achieves your goals with respect to performance, cost, security and other factors.
Once the platform for that challenging database or workload has been selected, you still need a design. We will identify the critical engineering issues such areas as scale, performance and data availability -- then work out the database design soluition. Whether you are using open source or commercial data managers, whether SQL or NoSQL, whether cloud or on prem, whether Hadoop or commercial platforms -- we have the expertise to create a design that will work. We'll collaborate with your existing team or work independently, as you prefer. We have helped many leading companies avoid the pitfalls of big data, fast data and complex data projects.
Need a design review? A pre-production review? A this-isn't performing the way we expected review? Or something higher level, such as review of your roadmap?
Our review of key data architectural and data engineering issues will be penetrating but constructive. We'll identify key challenges and pitfalls and help your team navigate to success.
Or, if you just want some advice on a key question, we'll provide a phone consult or a brief onsite consult according to your needs.
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Data management industry expert Richard Winter has unmatched data platform/solution knowhow and experience. He has defined data requirements, developed data strategies and architectures, selected data platforms and engineered data solutions for leading enterprises.
Competitive engineering specialist Rick Burns has in depth knowledge of data platform scalability, performance and availability. He has developed and audited custom benchmarks, advised leading enterprises on data platform selection and analyzed data platforms.
Hands-on expert, Norbert Kremer, applies expertise in scalable database and cloud platforms to create big data and data warehouse solutions in healthcare, life sciences, financial, retail and digital media. Dr. Kremer's skill and implementation experience have resulted in major successes for clients in these and other fields.
Engineering leader and hands on expert, Tennyson Yesupatham has designed and implemented data solutions on Linux, Hadoop and cloud platforms. Mr. Yesupatham has in depth experience with data warehouse and data lake architectures. He leads a team of WinterCorp data engineers, capable of implementing a wide range of data solutions.
Our team includes an array of technical specialists in data management covering design and solution engineering for all major data platforms: SQL, NoSQL, Hadoop and Cloud. For our projects, we put together teams of experienced professionals appropriate to the technical challenge and environment, operating under the direction of one of our leadership team.
WinterCorp is an independent consulting firm expert in the strategy, architecture and scalability of the modern analytic data ecosystem. Our team has researched, compiled and authored a number of Special Reports and Research Notes on a broad variety of data management topics for some of the largest database companies around the world.
Your analytic data management issues and questions -- as well as questions about our services -- are welcome any time. If I'm not available, you can leave a message and I will call back within 24 hours.
Tyngsboro, Massachusetts 01879, United States