Data Lake or Data Swamp? Pandemic-accelerated Issue. | Business Advice

This website uses cookies

This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, check out our Privacy Policy

To jest placeholder.
Przejdź do trybu Podglądu lub opublikuj stronę,
aby sprawdzić działanie swojego kodu. Kliknij dwa razy, aby edytować

Data is everywhere around; it can bring value and it can be garbage. How to avoid getting drowned in the abundance of data? How can you change the way you handle some of your data problems? What common problems crop up in data projects and how they can be avoided? And how to make most out of these data – specifically by applying the most advanced technology innovations?

Data Lake or Data Swamp? Pandemic-accelerated Issue.

WATCH THE FREE WEBINAR RECORDING

What have we prepared for you?

Both Data Warehouses and Data Lakes suffer from serious limitations. The Data Fabric approach offers reasonable and very promising solutions with its focus on data Semantics, Ontologies, NLP (Natural Language Processing), Knowledge Graphs (KGs), and modern Machine Learning (ML).

SPEAKERS & PANELISTS

Mirek Sopek – Founder and CTO of MakoLab, CEO of LEI.INFO
Robert Sendacki – Founder and CEO of MakoLab Consulting
Tomasz W. Stepien – Manager for DCAM and BCM, MakoLab Consulting
Jans Aasman – CEO at Franz Inc.
Richard Wallis – Founder of Data Liberate, Active contributor to the development of Schema.org
Andrzej Grochowalski – CIO at Inpost
Mark Zill – Moderator, Senior Advisor, EDM Council

To jest placeholder.
Przejdź do trybu Podglądu lub opublikuj stronę,
aby sprawdzić działanie swojego kodu. Kliknij dwa razy, aby edytować