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How do we best deal with time-series data in an efficient and scalable manner nowadays? With the increasing rate and amount of time sequence data generated today, existing approaches dealing with time-series workloads have challenges in operating, scaling, and performing efficiently. In this session we will dive deep on modern solutions for ingesting, storing and querying time-series data. We will look at the most common scenarios, like IoT data, clickstream, high volume events or devops monitoring. Moreover, we will see the benefits and trade-offs that we need to consider when designing for modern time-series workloads.
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