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Article

15. 10. 2020

Reading time: 2 Min.

The importance of Modern Data Lakes for innovative Data Engineering

In today's world, companies are often faced with challenges due to a large amount of data, which they cannot always handle on their own. Data Lakes can be very useful here: they collect all kinds of data from internal and external resources and provide a detailed and unfiltered overview. They provide information for your entire company and support the development of data processing and data storage. 

On 29th and 30th September 2020, Adastra participated in the digital ScaleUp 360° Smart Data Architectures & Data Engineering as speaking partner. Topics such as modern Data Architectures or the advantages of domain-specific, decentralized Data Lakes were discussed.

ScaleUp

360° Smart Data Architectures & Data Engineering

Analyzing and structuring information and easily having access to the necessary data is becoming more important every day. Data is the gold of the digital era and it is one of the central resources of the future.

Dr. Michael König

Dr. Michael König

Senior Data Management Consultant & Chairman on Day 2

On the second day of the event, our colleague Dr. Michael König (Senior Data Management Consultant) acted as chairman together with WeConect. "I hope that the audience was able to catch the various impressions from Architecture, AI & Machine Learning, Data Integration and Cloud Computing to their best satisfaction and was able to perceive them in their entirety as important building blocks in a larger context," said Dr. Michael König.

In his presentation on Modern Data Lake Platforms, our colleague Ankit Pandey (Senior Big Data & Cloud Architect) explained the characteristics and challenges of Data Lakes in more detail. Here you can download the slides and watch his presentation. 

Download presentation slides (2.4mb)

Download PDF

Characteristics and Challenges of Modern Data Lake Platforms

Watch the video of the presentation now:


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