All Videos Tagged Big Data”, (Data Science Central) - Data Science Central 2020-09-20T02:36:13Z https://www.datasciencecentral.com/video/video/listTagged?tag=Big+Data%E2%80%9D%2C&rss=yes&xn_auth=no DSC Webinar Series: Edge Computing with Real-time Analytics at Scale tag:www.datasciencecentral.com,2019-12-12:6448529:Video:914389 2019-12-12T23:46:52.594Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-edge-computing-with-real-time-analytics-at"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3767434029?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Performing analytics at the edge is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resources to the edge, as an integrated solution combined with ML and AI libraries. At the heart of the solution is the open-source time series database, InfluxDB, and the data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-edge-computing-with-real-time-analytics-at"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3767434029?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Performing analytics at the edge is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resources to the edge, as an integrated solution combined with ML and AI libraries. At the heart of the solution is the open-source time series database, InfluxDB, and the data processing framework Kapacitor.<br /> <br /> In this latest Data Science Central webinar, we will share how to build this point-and-click solution to help customers unlock the power of high-frequency data in real-time to become a data-driven organization.<br /> <br /> Speakers:<br /> Anil Joshi, CEO - AnalyticsPlus, Inc.<br /> Pankaj Bhagra, Co-Founder and Software Architect - Nebbiolo Technologies<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Harness the Power of Big Data Analytics tag:www.datasciencecentral.com,2018-07-03:6448529:Video:740818 2018-07-03T21:17:09.572Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-harness-the-power-of-big-data-analytics"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781546596?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>From BI to AI, the need for Big Data and analytics is pervasive and transformational. However, Big Data technologies such as Hadoop or Spark are still quite complicated and not leveraged to their full capacity by business practitioners. New technologies are available to leverage the power of big data platforms for self-service data preparation… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-harness-the-power-of-big-data-analytics"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781546596?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />From BI to AI, the need for Big Data and analytics is pervasive and transformational. However, Big Data technologies such as Hadoop or Spark are still quite complicated and not leveraged to their full capacity by business practitioners. New technologies are available to leverage the power of big data platforms for self-service data preparation and automated machine learning to help organizations get the most out of their analytics initiatives and unlock the full potential of their Big Data investments.<br /> <br /> In this latest Data Science Central webinar you will learn the essentials you need for a modern data and analytics strategy, ways to expand your strategy development repertoire, and emerging approaches, as well as:<br /> <br /> Why big data solutions like Hadoop and Spark are ideal for machine learning and advanced analytics initiatives<br /> What Automated Machine Learning for Big Data is and how it can change your approach to ML<br /> How Self-Service Data Preparation reduces the work required to deliver clean data at scale for predictive modeling<br /> How to leverage Big Data platforms to rapidly deliver more accurate predictions for ML initiatives<br /> <br /> Speakers:<br /> Raju Penmatcha, PhD, Customer Facing Data Scientist -- DataRobot<br /> Connor Carreras, Manager for Customer Success, Americas -- Trifacta<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central