All Videos Tagged Lake (Data Science Central) - Data Science Central 2019-07-24T03:24:41Z https://www.datasciencecentral.com/video/video/listTagged?tag=Lake&rss=yes&xn_auth=no 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