How to Get the Most Out of Your Time Series Data
What you will learn
- Understanding the complexity of time series data and the importance of contextual information for accurate interpretation.
- Initiating and developing your initial time series project with CrateDB, covering data ingestion, modeling, and analysis.
- Harnessing CrateDB's distinctive features for storage, querying, and in-depth analysis of time series data.
- Applying a variety of techniques for data visualization and training machine learning models to extract meaningful insights.
About CrateDB
CrateDB is an open source, multi-model and distributed database that combines the simplicity of SQL, the performance of NoSQL, and the readiness for AI. With CrateDB, you can query any data type and get insights in milliseconds, regardless of data complexity, volume, or velocity.Our Speakers
Christian Kurze currently serves as the VP of Product at CrateDB, where he steers its vision and strategy. Prior to his role at CrateDB, Christian contributed to MongoDB and Denodo by shaping their go-to-market strategies in Central and Eastern Europe, leveraging his previous experience in consulting and startups. With over 15 years of professional experience, he has cultivated an in-depth understanding of data ecosystems. His expertise spans from databases, data integration, analytics, and reporting to software development and automation. Christian holds a Ph.D. in Active Metadata Management for Data Warehouse Systems.
Marija Selakovic is a developer advocate working with the CrateDB database and various other data engineering tools. She holds a Ph.D. degree in computer science from TU Darmstadt and a Master's degree in software engineering from VU University Amsterdam. As a developer advocate, Marija builds technical content, speaks at developer conferences, and helps other software developers be productive and successful in using CrateDB.