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The combination of an analytical database, a data lake and a real-time component in a lambda architecture offers an all-encompassing approach that meets the requirements of latency, high volume data storage, and data integration.
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Real-time data: is it the answer to everything?
Real-time data is a subject that has received a great deal of attention from several different disciplines in recent years. The core principle is that data should normally be evaluated or processed as soon as it has been collected. This enables decision-makers to react rapidly to changes in operating conditions or states.
Our speaker Simon Dudanski will describe a solution for implementing batch and real-time data processes in an analytical database based on a notional e-commerce use case.
Get ready for this presentation of a technical solution with the aid of a notional use case based on Spark, Kafka and Exasol.
The webinar is aimed at data architects, BI decision-makers and developers.
Take advantage of this unique opportunity by registering for our webinar here. We look forward to welcoming you on October 24, 2019 from 11.00 am to 12.00 pm!
Our speaker
Simon Dudanski, senior consultant
Simon Dudanski is a consultant at b.telligent and a specialist in data warehousing, data integration and reporting. Since 2014, he has been advising b.telligent customers from various industries – from finance to e-commerce – on business intelligence. His project experience covers the entire value-creation process from analysis, planning, conceptual design and realization through to project planning, with an emphasis on the implementation of data warehouse installations.
