All Videos Tagged Boyd” (Data Science Central) - Data Science Central 2020-09-28T01:53:28Z https://www.datasciencecentral.com/video/video/listTagged?tag=Boyd%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Analyze Data Faster with an Open Source Columnar Database tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803607 2019-02-18T23:03:38.450Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-analyze-data-faster-with-an-open-source"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136951521?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-analyze-data-faster-with-an-open-source"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136951521?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using modern, on-demand analytics, as well as how to leverage the power of Kafka and Spark connectors to plug into existing data pipelines. We will discuss the architectural overview of columnar databases, share real-world use cases and give a live demonstration.<br /> <br /> Speaker:<br /> Thomas Boyd, Principal Solutions Engineer - MariaDB<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central