April CHUG: Diyotta "Modern Data Integration: Paradigm Shift"

Join us this month to grab a slice and hear Sanjay Vyas Speak about “Modern Data Integration: Paradigm Shift for the Modern Data Architecture”

Discussion Details:

We live in a new era of data. It’s not just big data, it is modern data with new types, sources, volumes, and locations of data that we have never before experienced. We are experiencing a matrix of data where the complexity of sources and targets continues to grow incrementally. This new approach the the modern data architecture requires a new approach to solve the modern data integration as well. The legacy data integration approaches worked well back then when we had limited amount of data where a monthly batch was expected “normal” and most of the data was well defined. In the modern data architecture, this traditional approach creates new set of challenges:

1. A data integration server becomes a huge bottleneck

2. Flowing everything through servers creates massive overuse of networks

3. The re-engineering of legacy tools further complicates the process of data integration

4. Hand coding is still required for the growing mix of data types, sources, and API’s

5. Code management becomes a nightmare

6. The lack of metadata documentation means that the work has to be redone every time new data is added or new platforms are implemented

All of this amounts to…

· More money spent

· More time wasted

· More resources required

· Less effort spent on bottom line efforts and innovation

We’ve seen the paradigm shift that has taken place around modern data and we’ve seen the accompanying paradigm shift in tools that are built for modern data integration. Even while we are experience the rapid shift in the data architecture from traditional to modern, we still have same business constraints

· Quicker response to data modernization

· Timely delivery and achieve faster time to value on our data/analytics project

· Quicker response to the business needs

· Lower TCO including licensing, resources, hardware, maintenance etc

Please join us to learn more about:

· How does modern data integration work?

· What is unique about modern data integration?

· What are the principles for modern data integration?

· How does modern data integration work within the existing ecosystem?

About the Speaker:

Sanjay Vyas:

Sanjay is responsible for business leadership and delivering on Diyotta’s vision towards Big Data integration. Sanjay truly believes in following his passion of arriving at unconventional and disruptive approaches in data management especially around Big Data, and strongly feels that the Big Data today will just be data tomorrow. So while big data may mean just one thing to many, Sanjay and team are putting their thought leadership in spearheading the big data solutions and resolving the challenges which are generally missed at a broader level thereby maximizing the value to their Customers.

Prior to founding Diyotta, Sanjay had spent over 14 years in Data Management & Architecture while working with some of the largest organizations including Bank of America, Microsoft & Hewlett Packard.

About Diyotta

Diyotta provides the most flexible, powerful and high performing data integration solutions for managing big data within the enterprise.

Diyotta turns the data lake into an information hub. It is the industry’s first data provisioning platform purpose-built for big data across hybrid data systems and the cloud. In the new world of big data, we accelerate data warehouse modernization and enable the virtual integration of complex data flow across environments.

Only Diyotta offers a design-once architecture for rapid change of both data and platforms; agent-based, point-to-point integration for all of your data; and optimal use of all data platform functions in a unified interface. With Diyotta companies fully leverage their existing data platforms with the quickest time to value, make the move to modern data platforms with the highest level of reuse possible, and respond to business needs for new data and analytics without constraints.

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