• Tedamoh ACADEMY

    Temporal Data in a fast-changing world!

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Why do countless data solutions deal with temporal data every year, expending thousands and spending hundreds of hours developing solutions that don't work?

The often incomplete knowledge or the different definitions and interpretations of temporal data lead to a considerable additional effort and frustration for all parties involved.

Good definitions and methods as well as techniques for handling temporal data in a data warehouse prevent this additional effort and simplify the implementation significantly.

The training Temporal data in a fast-changing world! teaches the theory of bitemporal data and contains realistic exercises for the participants.

 

This training is taught by us in German or English.In deutscher SpracheIn englischer Sprache

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Content

The Temporal data in a fast-changing world! training focuses on methods and techniques for handling bitemporal data in a data warehouse. This includes data modeling, loading bitemporal data into a target data object in the core layer of the data warehouse, and finally making this data available to users.

Nowadays, a data warehouse stores more or less historical data. But what about events that took place outside the represented time span? Or with data that arrives late in the data solution? Or with data that will be valid in the future? For example, planned prices for products and goods, or future special prices for discount promotions such as Black Friday in the USA.

The training addresses these questions in three modules and offers answers and solutions.

All modules contain realistic examples and the participants apply what they have learned in exercises. The SQL tutorials and solutions belonging to the exercises are made freely available to the participants.

After the Temporal data in a fast-changing world! training, you will understand not only temporal data in theory, but also how to properly load, store, and deliver it to users.

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Testimonials

What participants are saying about Temporal data in a fast-changing world!

Dirk Lerner and his presentation on bitemporal modeling at first gave me a brain freeze. However, his explanation of using a Data Vault satellite to track changes over time and collapsing the changes into a dimension for analytics was not only a requirement for financial reporting in Germany but also quite ingenious.

At work I just started at a new customer and was part of the data warehouse team, who was assigned the task of building the Data Vault Data Warehouse. We were developing the Data Vault generator. At that point we used an end-date for the business time. I remember the complexity for updating the old records and the time for the server it costs to do this. Especially when you want to add rows in between. To load history, for example, from old sources. The training is led by Dirk in an interactive way.

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