All Videos Tagged SQL (Data Science Central) - Data Science Central 2020-11-30T20:45:37Z https://www.datasciencecentral.com/video/video/listTagged?tag=SQL&rss=yes&xn_auth=no DSC Webinar Series: Advanced Mapping with Tableau tag:www.datasciencecentral.com,2019-03-13:6448529:Video:809390 2019-03-13T22:09:37.967Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-advanced-mapping-with-tableau"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/1409370917?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Every dataset contains a “Where” component. For organizations that need to use location to drive their business, it is critical that they can unlock the Where in their data. In this latest Data Science Central webinar, find out how Tableau can help you work with spatial data and answer location-based questions.<br></br> <br></br> This webinar will cover several… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-advanced-mapping-with-tableau"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1409370917?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Every dataset contains a “Where” component. For organizations that need to use location to drive their business, it is critical that they can unlock the Where in their data. In this latest Data Science Central webinar, find out how Tableau can help you work with spatial data and answer location-based questions.<br /> <br /> This webinar will cover several topics, including:<br /> <br /> Connecting and joining data to common spatial data sources in Tableau, like Shapefiles and SQL Server<br /> Different ways to look at the spatial distribution of data<br /> Using advanced operations to understand spatial relationships and spatially aggregate your data<br /> Examples of interaction-based analysis and exploration<br /> Options integrating with ArcGIS Maps and providing the right context for geospatial analysis<br /> <br /> Speaker:<br /> Kent Marten, Staff Product Manager, Maps and Spatial Analysis - Tableau<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central 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 DSC Webinar Series: Data Lake Advances in the Age of Operational ML/AI tag:www.datasciencecentral.com,2018-11-06:6448529:Video:775962 2018-11-06T23:06:33.593Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-lake-advances-in-the-age-of-operational"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532510?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The popularity of data lakes has given data scientists and organizations the needed foundation to discover breakthrough insights. But many implementations are falling short of the performance, manageability, and integrations needed for a successful broadly adopted data-driven operation.<br></br> <br></br> <br></br> In this latest Data Science… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-lake-advances-in-the-age-of-operational"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532510?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The popularity of data lakes has given data scientists and organizations the needed foundation to discover breakthrough insights. But many implementations are falling short of the performance, manageability, and integrations needed for a successful broadly adopted data-driven operation.<br /> <br /> <br /> In this latest Data Science Central webinar, we’ll explore some innovative new architectures for data lakes that accelerate time to insights, reduce operational complexity, and effectively integrate with operational systems to help you deliver greater impact within your business.<br /> <br /> <br /> <br /> Register for this webinar to learn:<br /> <br /> The new reference architectures for data science that can boost performance and reduce costs<br /> How to reduce complexity commonly caused by data lake acceleration tools<br /> Techniques for bridging the gap between data science and operational systems<br /> <br /> Speaker: Rick Negrin, Director of Product Management - MemSQL<br /> <br /> Hosted by: Bill Vorhies, Editorial Director - Data Science Central DSC Webinar Series: Modern Data Science Workflows tag:www.datasciencecentral.com,2018-05-25:6448529:Video:724230 2018-05-25T02:02:46.877Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-modern-data-science-workflows"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781531386?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing advanced and predictive analytics -- the highest value part of their jobs. <br></br> <br></br> Join us for this latest Data Science Central webinar and learn how data scientists across different… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-modern-data-science-workflows"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781531386?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing advanced and predictive analytics -- the highest value part of their jobs. <br /> <br /> Join us for this latest Data Science Central webinar and learn how data scientists across different organizations have influenced and changed analysis behaviors across their companies. You will also learn helpful tips for integrating data science findings into your organization's decision making process.<br /> <br /> Speakers:<br /> <br /> Haarthi Sadasivam, Technical Product Manager -- Looker<br /> Olivia Winter, MS, Customer Advocate -- Looker<br /> Julian Winternheimer, Data Scientist -- Buffer<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: An Expert’s Guide to Apache Spark™ tag:www.datasciencecentral.com,2018-05-23:6448529:Video:723863 2018-05-23T22:52:20.713Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-an-expert-s-guide-to-apache-spark"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781548053?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Apache Spark™ has become the de-facto data processing and AI engine in enterprises today due to its speed, ease of use, and sophisticated analytics. As the first Unified Analytics engine to unify data with AI, Spark allows data engineering and data science teams to simplify data preparation and model training — enabling innovative AI use cases that… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-an-expert-s-guide-to-apache-spark"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781548053?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Apache Spark™ has become the de-facto data processing and AI engine in enterprises today due to its speed, ease of use, and sophisticated analytics. As the first Unified Analytics engine to unify data with AI, Spark allows data engineering and data science teams to simplify data preparation and model training — enabling innovative AI use cases that leverage advanced analytics like machine learning, graph analytics, and deep learning.<br /> <br /> Join Bill Chambers, author of the book “Spark: The Definitive Guide,” and Matei Zaharia, Chief Technologist and Co-founder of Databricks and the orginal creator of Apache Spark™, in this Data Science Central webinar as they break down the basic operations and common functions of Spark and walk through sample use cases where Spark has helped accelerate AI innovation.<br /> <br /> In this webinar, we will cover:<br /> <br /> A gentle overview of big data and Spark<br /> Expert guidance on how to use, deploy and maintain Spark <br /> The fundamentals of monitoring, tuning, and debugging Spark<br /> An exploration into machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library<br /> <br /> Speakers:<br /> Bill Chambers, Product Manager -- Databricks<br /> Matei Zaharia, Co-founder and Chief Technologist -- Databricks<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central