20th - 21th November 2017

TDWI Schweiz 2017 Conference in Zurich, Regensdorf

Become part of the vibrant community of leading business intelligence and analytics experts at this year's TDWI Conference in Switzerland from 20.-21. November in Zurich, Regensdorf.

Take the opportunity to exchange know-how with prominent experts and stakeholders in business intelligence and analytics and gain knowledge and inspiration for your projects. Discover more about the latest exciting features of biGENiUS in our talk or just visit us at our stand for a live product demonstration.

Cx3DG-QWEAENRQP-117037-edited

 
MONDAY, 2Oth NOVEMBER 2017 | 12:15 - 1:00 p.m.

Data Lake, Big Data and Data Vault per Mouse Click -
Is this possible? 

Data Lake, Big Data und Data Vault auf Knopfdruck - geht das-.png
In this session, we will introduce you to data warehouse automation based on real use cases. We'll demonstrate how you can easily build a Data Vault in very short time. By using biGENiUS, the you don't need to worry about the specific characteristics of data vault modeling. You just need to define your functional data model - and the tool will generate all required data vault objects fully automatically.

In its latest version, biGENiUS can also automatically generate Big Data solutions. There are a number of application scenarios such as building a Data Lake, ETL based on Spark or simply outsourcing of "cold data" in a Hadoop cluster. The easy handling, allows you to shift focus from the technological aspects on the business requirements of your users and improve agility. Join us!
 
About The Session
 
 
 
 

SAVE 25% OFF YOUR CONFERENCE TICKET NOW!

No ticket for the TDWI Schweiz 2017? As a sponsor of the conference, we offer you now 25% discount* on the ticket price. Just enter the code trivadis_tdwi_schweiz_2017 in the remark field of your registration and join us in Regensdorf!

*On the regular ticket fee. Doesn't apply to already registered participants.

Topics: Events Review Conferences
   
bigenius-request-demo

Photo credits: