Our first feature rich release following 2.0 is out. Discover what we have packed into release 2.1 and how some of these features now probably make Warp 10™ also the fastest timeseries database!
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Discover the Warp 10™ artifacts repository. Share your plugins, extensions and macros. Level up your Warp 10™ instance with new capabilities.
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Discover why, when, and how to use WarpScript in Python, to glean the benefits of using the analytics engine of the most advanced time series platform.
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Lambda functions with Warp 10™. Use the power of WarpScript™ in simple JSON API deployments.
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Discover everything about the new Multi Value syntax introduced by release 2.1 of Warp 10™.
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WarpStudio™ is now bundled with Warp 10™, discover our brand new Web IDE.
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Learn how you can connect to Kafka and consume messages directly from your Warp 10™ instance.
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Ingesting 300k datapoints per second in the Warp 10™ timeseries database on a Raspberry Pi is possible with Warp 10 2.1 new ingestion format. We also benched the PINE64 board!
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Track chemtrails around the world thanks to Warp 10. With courtesy of ADS-B Exchange, we gathered 2 years of flight trafic representing 200 000 aircrafts and 15 billion positions.
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Script optimization is critical to handle billions of datapoints. WarpScript comes with 4 functions to monitor execution time. Make your script run on NOS!
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Why bother with a dedicated web server when Warp 10™ can host your Web content?
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Our first Office Hours session got 5 great questions asked, discover what the answers were, the fifth one will blow your mind!
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Comparing every sunday data in a given timezone is not trivial. With WarpScript language, this is a pretty straightforward timeseries analytics.
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Learn how to use WarpScript™, an advanced data flow programming language tailored for sensor data processing, into your Node-RED flows.
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Analyze your electrical consumption with your Linky data and Warp 10.
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We use the auto-correlation function. We see how to implement it in WarpScript™, with an exact calculation and then with a fast and accurate approximation.
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WarpScript equivalent to SELECT WHERE requests is a basic GTS sum. You just need to build a new GTS to select interesting data from the original one!
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In this blog post, we review the essential frameworks available in WarpScript. They simplify greatly usual time series processing.
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Warp 10™ 2.0 introduced interactive mode which makes easier to explore WarpScript™. In this tutorial we set up a WarpScript interpreter using this feature.
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We discuss about how information systems are historically handled, and why time series databases will play a critical role for data in the near future.
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Learn how to index spatio temporal data in Warp 10™ so you can query your series by geographic area and time range.
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