Previous webinars to watch
How to replicate data from other databases to CrateDB with Debezium and Kafka
This demo offers a step-by-step guide on leveraging Debezium and Kafka to replicate data from different databases into CrateDB.
CrateDB Workshop is a hands-on learning experience that introduces the fundamental concepts of CrateDB, a distributed SQL database. This workshop is designed for everyone interested in learning about CrateDB features and how it can be used to store, query and analyze large amounts of data.
Mastering Monitoring: A Step-by-Step Guide to Using Prometheus and Grafana with CrateDB Cloud
In this interactive live demo, learn, step-by-step, how to use Prometheus and Grafana with CrateDB Cloud.
Learn simple No-Code Data Import and Visualization with CrateDB Cloud
In this live demo, our speakers show how easy it is to import data to CrateDB Cloud, connect to a third-party tool and visualize the data for whatever purpose.
To develop a real-time monitoring solution, O-CELL needed a scalable and fault tolerant database with a flexible data schema storage upgrades and ease of use for deploying additional resources. Being their database since an early stage, CrateDB has adapted to O-CELL business needs, offering scalability, reliability and speed, essential for real-time monitoring.
Time-series data: From raw data to fast analysis in only three steps
Time-series data and analysis can help businesses understand patterns, trends, and causes over time. This is crucial for business success. In this webinar, Crate.io’s Solution Engineering team will guide you through the implementation steps of a time-series use case - from table layout to querying.
How SPGo! builds apps for monitoring and predictive maintenance
SPGo! By PETROMIN, has developed a system that allows monitoring mining material conveyor belts with more than 40,000 sensors in real-time and 760 million records per day.
CrateDB Community Day
The full recording of our very first CrateDB Community Day
How Bitmovin improves the streaming experience with real-time analytics
In this joint webinar with Bitmovin our speakers will share Bitmovin’s experience, challenges, and why they chose CrateDB as the best solution for their business.
German webinar: Fixing data silos in a high-speed logistics environment
In this joint German webinar with TGW Logistics, Alexander Mann explains why they chose CrateDB after trying multiple database systems.
Fixing data silos in a high-speed logistics environment
After trying multiple database systems, TGW Logistics moved to CrateDB for its ability to aggregate different data formats and ability to query this information without much hassle.
How to leverage CrateDB 4.8 to its full potential
In this webinar, we had a hands-on look at how to leverage the CrateDB 4.8 enhancements when importing data and using Logical Replication to move data between CrateDB clusters to make it available where it is needed.
Real-Time Energy Grid Control Based on Big Data
Learn how Gantner relied on CrateDB to analyze the large amount of data generated by the project in real-time and to improve the processes through machine learning.
Introduction to Time-Series Visualization in CrateDB and Apache Superset
In this webinar, we will discuss how to use different visualization options in Superset coupled with a SQL interface to derive interesting insights and findings from the time-series dataset.
Real time production monitoring in CPG industry
In this joint German webinar with Microsoft, we share the use case of a leading CPG manufacturer and how they reduced their costs with CrateDB and Azure.
How real-time IoT data can optimize the supply chain with the Thomas Concrete Group
First-hand insights from Thomas Concrete Group about the advantages of working with CrateDB for different use cases with real-time IoT data.
How to improve supply chain management with loT data
Learn why it’s important to be an early adopter of industrial loT practices and how projects can successfully be monitored, measured and optimized using the right database.
Why does the industrial IoT need its own database?
The IIoT can cause a new manufacturing revolution... But in order to succeed, it requires the right tools.
The design of a time-series database
Best practices for working with time-series data fast, with horizontal scalability, and with SQL.