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European TDWI Conference 2021 (online)

biGENIUS participates at European TDWI Online Conference 2021.

Table of contents

    Posted on:
    June 7, 2021

    For 17 years now, TDWI has been an important event for BI and analytics experts. Using data intelligently and processing it efficiently is becoming increasingly important for the success of companies. Business Intelligence, Data Analytics and Reporting are crucial to stay future oriented, to achieve fast growth and herewith financial success.

    Don’t lose touch with possible developments and trends!

    From June 21-23, 2021, you can expect an exciting online program: informative presentations, case study reports, workshops and networking opportunities in a community of experts and practitioners in the fields of Data Analytics, Machine Learning, Cloud Computing, Artificial Intelligence, Modern Data Platforms, Data Science, Big Data, Data Lake, IoT and much more. It’s an exciting opportunity to learn, share, expand your knowledge, etc.

    Being a strong partner, biGENIUS is also part of the TDWI conference this year in the area of Big Data & Data Warehouse Automation. Learn how to make data analytics software your competitive advantage as part of your digital transformation journey.

    Make a note of the presentations in the conference program that are of interest to you, so you don’t miss any information that is relevant to you!

    Monday: 21.06.2021 | 16:30 – 17:10 p.m.

    DWH Migration into cloud based on Metadata

    Today’s data-intensive world confronts modern businesses with both challenges and opportunities. Data infrastructure must adapt to this new reality of larger data volumes, higher speeds, and the veracity of data. A robust, agile, and scalable data architecture will be a critical factor for business success in the years to come.

    The data warehouse (DWH) was designed to solve the problems of two decades ago are not necessarily suited to solve the problems of today. Relying on legacy systems, while an easy short-term solution, is certainly not the right long-term choice.

    A major reason why organizations are hesitant to migrate their data warehouse (DWH) into a cloud, is the belief that such a migration will be time-consuming, tedious, and costly. You will see in this presentation, that this is not the case.

    A cloud is a centralized and globally available platform, which makes it an ideal target for data consolidation as well as popular use cases such as analytics, self-service data practices and data sharing across enterprise boundaries.

    Speaker: Peter Welker, Gregor Zeiler
    Language: English
    Session Track: FF 1.1.7 –
    Tuesday: 22.06.2021 | 11:10 – 12:20 a.m.

    “Go with the Flow”: Stream-based – Real-Time ETL without Batch Processes

    Are you interested in Real-Time ETL without batch processes? How to build complex domain-oriented transformations in the stream? How to ensure data consistency? Where to put the data history? How do you do it in a resource-efficient way?

    Peter Welker will answer all these questions on 22.06.2021, from 11:10 – 12:20 (conference program).

    In this presentation, you will be shown which processes and tools are suitable based on concrete projects. Their advantages and disadvantages will also be highlighted compared to classic batch processes.

    Get an idea of how the implementation of a purely event-driven data warehouse can be achieved and look like!

    Speaker: Peter Welker
    Target audience: Data Engineers, BI Project Managers
    Language: German
    Session Track: Tue 3.2 – Data Management
    Date/time: Wednesday: 23.06.2021 | 9:50 – 10:30 a.m.

    30 minutes to the Analytics Platform with Infrastructures as Code

    Analytical platforms for PoCs and evaluation can be built in the cloud in an hour – with ready-made setup scripts. However, if you put together your own services, it gets more difficult. The open source platform-in-a-box “Platys” shows that it is easier for test and PoC environments. In addition to possible uses and examples, we explain services and “just briefly” pull up a data lake with DB, event hub, stream processing, blob store, SQL access and data science notebook.

    Learn more in this talk!

    Speaker: Guido Schmutz
    Language: German
    Session Track: FF 3.1.2

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