November 2019
kohlebunker
Microsoft Envision Forum: Manufacturing
November 19, 2019
Auf dem Microsoft Envision Forum: Manufacturing – Industry Day erhalten Sie an nur einem Tag einen wertvollen Überblick über Trends, Möglichkeiten und Entwicklungen der Digitalisierung in der Fertigungs- und Prozessindustrie. Dabei stehen reale Praxisbeispiele unserer Kunden sowie der interaktive Austausch mit Branchenkollegen, Experten und Partnern im Zentrum des Events. Book a meeting with us
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KÜHLHAUS BERLIN
Data Natives
November 25, 2019 @ 08:00 - November 26, 2019 @ 17:00 UTC-8
Tanay Pant from Crate.io will be speaking at the Data Natives conference in Berlin this November, Tanay will be presenting on the Grand Quadrant of Powerful Databases.
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NürnbergMesse
sps smart production solutions
November 26, 2019 @ 08:00 - November 28, 2019 @ 17:00 UTC-8
Hands-on. Visionary. Personal. We have the solutions – and you have a world of possibilities! With its unique concept, SPS covers the entire spectrum of smart and digital automation – from simple sensors to intelligent solutions, from what is feasible today to the vision of a fully digitalized industrial world. The focus is on practical solutions for your specific business area. Find answers to your current needs on-site, as well as possible solutions for the challenges of tomorrow. With the…
Read moreDecember 2019
Webinar
Webinar: Success in the Age of Digital X: The Quadrant of IoT Scale Databases
December 3, 2019 @ 11:00 - 11:45 CET
Would you use a butter knife to chop down a tree? Then why would you use a web-scale database for your digitisation projects? Companies often use the wrong tools for the wrong job, especially in this new age of machine data. About 76% of the digitisation projects fail according to reports by McKinsey, Forbes and Microsoft. One of the root causes of this failure is data and IT infrastructure. In this webinar, I will teach you how you can save…
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Online (GoToWebinar)
Webinar: Introducing CrateDB on Azure
December 12, 2019 @ 10:00 - 10:45 CET
It's the #1 database built for IoT-scale! Join our upcoming webinar and learn how CrateDB Cloud on Azure is the most scalable and cost-effective database for IoT and machine data and it's now build into Azure. Don't miss this unique opportunity to tune in on December 12th and hear from our CEO, Christian Lutz and IoT Solution Architect Juergen Mayrbaeurl from Microsoft. Together, they will show you how CrateDB Cloud is a fully-managed database-as-a-service, secured, scaled and operated by the…
Read moreFebruary 2020
STATION-Berlin
Bosch Connected World
February 19, 2020 @ 08:00 - February 20, 2020 @ 17:00 UTC-8
Join the Crate.io team at Bosch Connected World 2020. Drop by our booth #42 or set up a meeting with us in advance here
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Maritim Hotel Nürnberg
IoT in Action in Nuremberg
February 24, 2020 @ 09:00 - 16:45 UTC-8
The Crate.io team will join Microsoft at the IoT in Action event in Nuremberg on 24th February 2020. Meet us at the event and learn more about CrateDB Cloud on Azure.
Read moreMay 2020
Online (GoToWebinar)
Upcoming Webinar : Why IIOT needs its own database
May 19, 2020 @ 17:00 - 17:45 CEST
To effectively adopt IIoT practices can be challenging, but the truth is that it is not as intimidating as it may seem. In order to bring IIoT projects to success, it is crucial to use the right technology —including the database.
Read moreJune 2020
Online
Microsoft Virtual Envision Forum: Manufacturing
June 18, 2020 @ 09:30 - 11:00 UTC-8
Join us at the Microsoft Virtual Envision Forum: Manufacturing online event, where we will present and show how open platforms are enabling industrial manufacturers and their partners to work together along the entire value chain and break down data silos, exactly how CrateDB and Alpla made it. The event is free and you can register here (German only)
Read moreOnline (GoToWebinar)
Upcoming Webinar: Introduction to industrial time series
June 23, 2020 @ 17:00 - 18:00 CEST
In the database world, there is a lot of attention focused on time series. But what is it that makes them so special? What does it mean from the dataset perspective to be dealing with time series? Are all time-series data the same?
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