Stream processing is the art of working with data before it is persisted. You might know stream processing as real-time processing. At its core, stream processing includes transforming, aggregating, and enriching&nbsp; data through pipelines, all in memory. This means very low processing latency and very high throughput.
Common uses of stream processing are making cost-optimization decisions as conditions change, quick responses to changing events, and creating &ldquo;windows&rdquo; of data for visualization. Imagine categorizing data from hundreds of sensors and thousands of web users with a few lines of SQL. Stream processing has become the secret to many disruptors and high growth applications&rsquo; success.
In this webinar we&rsquo;re going to show you how to transform your existing web click data into real time data pipelines. You&rsquo;ll discover new possibilities that are unlocked when platforms like Decodable and DataStax Astra are connected. And you&rsquo;ll have the tools to create meaningful dashboards that enable deep data driven decision making. Highlights include
 - Why Pulsar is the right event streaming technology
 - How DataStax can help you quickly get started with Pulsar technology&nbsp;
- How Decodable captures streaming data from any source in the format you need using only a few lines of SQL
- The ease of integrating Decodable and DataStax Astra together
- Demonstration of real time web click data being processed and visualized
Decodable is a real-time data engineering service that lets teams build streaming pipelines with SQL transformations, connecting data sources and sinks in minutes. No large data teams, infrastructure admins, or phd&rsquo;s required.
<a href="http://www.datastax.com">DataStax</a> is the real-time data company. Only DataStax delivers the power of Apache Cassandra&trade;&mdash;the world&rsquo;s most scalable database&mdash;with advanced Apache Pulsar&trade; streaming technology in a unified stack, available on any cloud.

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