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Managing Data Integration in the Distributed Data Landscape
These days, business doesn’t just run on data, business is data. Today, data is more complex and more distributed than ever before. There’s more variety, volume, velocity, and vectors of data. While planning to modernize their data ecosystem with Hadoop, many Customers find the inability of their legacy data integration solutions to meet their demands and the specialized skills gap as the two major adoption inhibitors.
As the enterprise data landscape is getting more and more distributed, integrating data across on-premises and in-the-cloud has introduced new challenges with data required from Social Media points, SaaS applications and Operational source points within premises. Companies are constantly challenged to unify the data processes across these data platforms whether it is offloading ETL/ELT across these platforms, provisioning data to the analytical or downstream systems or simply augmenting the architecture with Hadoop/Spark. These Enterprises spend millions of dollars in reengineering and re-architecting their data integration processes as the technology evolves.
Diyotta provides a simplified and purpose-built solution which is design and architected for current and future data integration needs. Diyotta’s unique approach accelerates the transition to Hadoop and provides a unified data integration fabric across all the data platforms across the distributed data landscape – on-premises or in-the-cloud.
Diyotta is a disruptive technology for future where the core architecture abstracts the data integration rules from the platform specific execution instructions and focuses on distributed processing at an enterprise scale which is a key requirement to support a distributed landscape and lastly, empowers the organizations with the flexibility to transition to new data modernized platforms with ease.
Sanjay Vyas – Chief Operating Officer
Sanjay is the co-founder and CEO of Diyotta. With more than 17 years of experience in data management and architecture, he is responsible for business leadership and delivering on Diyotta’s vision towards modern data integration for big data. Prior to founding Diyotta, Sanjay was a senior architect at Bank of America, where he drove the data strategy for the entire enterprise risk platform. Previously, he held various information management leadership positions and lead projects at companies like Time Warner Cable, TIAA-CREF, Pitney-Bowes, Microsoft, and Hewlett Packard.
Ravindra Punuru – Chief Strategy Officer
Ravindra Punuru is the co-founder and chief strategy officer at Diyotta. With more than 17 years of experience in application development, data warehousing, data architecture for MPP and Hadoop systems, he spearheads research, big data product strategy, and architecture. Prior to Diyotta, Punuru was a senior consultant at Bank of America, where he drove the architecture for the data warehouse behind the enterprise risk system. Previous to that, he held various architectural and solutions positions at Time Warner Cable, Qwest, and AT&T./p>
Jonathan Wu – Chief Executive Officer
Diyotta is a modern data integration company founded by the data warehouse experts. Diyotta DI Suite is a distillation of over 60 years of enterprise data engineering experience of the founding team into a ground-up solution built and architected for current and future needs of Data Integration. Enabling enterprises across the globe in various industries, Diyotta is radically simplifying the data integration in an ever increasingly distributed data landscape in today’s digital age.
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