26-28 November, 2019, Vilnius

Conference is over! See you next year.

Dionizas Antipenkovas

Peekdata.io, Lithuania


Big Data expert with 20+ years of technical experience in AdTech and Financial areas building scalable systems which include data processing, warehousing, reporting and data APIs. Passionate about Big Data domain and always willing to learn and experiment with tools and approaches. Always open to have a discussion on how to better manage data in your solution.


Embedded Analytics through Data API or What Big Companies are Hiding from You

There are more than 20 years of experience of building amazing ETL and BI solutions and tools. These solutions proved being very useful and will serve us in the future.
However, such BI ecosystem was egoistically targeted for closed use cases with a focus on internal needs of companies using it, so only large companies allowed themselves offering great Analytical tools for their customers as self-service. Of course, there are many reasons for that – building such functionality takes enormous development effort, money and time.

While the trend of making data more available for end users is there, big tech companies are still not giving access to main building blocks which would allow to easily build Data APIs and self-service embedded analytics to make life easier for many development teams.

But the time has changed, and new evolving technologies are moving towards closing the gap and giving opportunities of creating infused Analytics to be used by wide range of companies and users.

Let’s discuss coming new approaches, technics and components for better, faster and cheaper development of self-driven Analytics and Data oriented APIs.


Session Keywords

Schema less Data API
Embedded Analytics