All Videos Tagged Data” (Data Science Central) - Data Science Central 2020-07-16T01:05:39Z https://www.datasciencecentral.com/video/video/listTagged?tag=Data%E2%80%9D&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: From Pandas to Apache Spark™ tag:www.datasciencecentral.com,2019-07-03:6448529:Video:851584 2019-07-03T19:18:10.864Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-from-pandas-to-apache-spark"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3189210470?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>***Please be aware there is a slight audio issue from approximately 10:45-13:00 in the recording***<br></br> <br></br> Presenting Koalas, a new open source project unveiled by Databricks, that brings the simplicity of pandas to the scalability powers of Apache Spark™.<br></br> <br></br> Data science with Python has exploded in popularity over the past few years and… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-from-pandas-to-apache-spark"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3189210470?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />***Please be aware there is a slight audio issue from approximately 10:45-13:00 in the recording***<br /> <br /> Presenting Koalas, a new open source project unveiled by Databricks, that brings the simplicity of pandas to the scalability powers of Apache Spark™.<br /> <br /> Data science with Python has exploded in popularity over the past few years and pandas has emerged as the lynchpin of the ecosystem. When data scientists get their hands on a data set, pandas is often the most common exploration tool. It is the ultimate tool for data wrangling and analysis. In fact, pandas’ read_csv is often the very first command students run in their data science journey.<br /> <br /> The problem? pandas does not scale well to big data. It was designed for small data sets that a single machine could handle. On the other hand, Apache Spark has emerged as the de facto standard for big data workloads. Today many data scientists use pandas for coursework, and small data tasks. When they work with very large data sets, they either have to migrate their code to PySpark's close but distinct API or downsample their data so that it fits for pandas.<br /> <br /> Now with Koalas, data scientists get the best of both worlds and can make the transition from a single machine to a distributed environment without needing to learn a new framework.<br /> <br /> In this latest Data Science Central webinar, the developers of Koalas will show you how:<br /> <br /> Koalas removes the need to decide whether to use pandas or PySpark for a given data set<br /> For work that was initially written in pandas for a single machine, Koalas allows data scientists to scale up their code on Spark by simply switching out pandas for Koalas<br /> Koalas unlocks big data for more data scientists in an organization since they no longer need to learn PySpark to leverage Spark<br /> <br /> Speakers:<br /> Tony Liu, Product Manager, Machine Learning - Databricks<br /> Tim Hunter, Sr. Software Engineer and Technical Lead, Co-Creator of Koalas - Databricks<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: New Trends in Data Prep and Blend tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803604 2019-02-18T23:01:26.508Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-new-trends-in-data-prep-and-blend"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136917099?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>Data blending is the foundation for all analysis, which is why analysts reside in every department and within every industry. Yet not all analysts are driving the business forward with game-changing business insights. Instead you are stuck spending 80% of the day preparing data for basic analysts and reports.<br></br> <br></br> In this latest Data Science… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-new-trends-in-data-prep-and-blend"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136917099?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />Data blending is the foundation for all analysis, which is why analysts reside in every department and within every industry. Yet not all analysts are driving the business forward with game-changing business insights. Instead you are stuck spending 80% of the day preparing data for basic analysts and reports.<br /> <br /> In this latest Data Science Central webinar, learn how to make the fundamental shift in the amount of time you spend prepping and blending data so that you are freed up to deliver results that propel your career and the business forward.<br /> <br /> Learn how to:<br /> <br /> Reduce the amount of time you spend munging, prepping, cleaning your data for basic analysis<br /> Gain more time to drive better business outcomes by providing insights rather than just reports because antiquated approaches aren’t built for advanced capabilities<br /> Put the power of advanced analytics into your hands—predictive, prescriptive, and geospatial—analysis that you can answer complex questions with confidence and ease<br /> Register now to learn how you can access automated approaches, repeatable workflows, sharable insights, and possibilities for code free advanced analytics.<br /> <br /> Speaker:<br /> Mindi Grissom, Product Evangelist - Alteryx<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central DSC Webinar Series: Ask Data: Simplifying Analytics with Natural Language tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803299 2019-02-18T22:47:15.761Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ask-data-simplifying-analytics-with-natural"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136706478?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>What if you could directly ask questions of your data? Ask Data, Tableau’s new natural language capability, allows people to get insights by simply conversing with their data. In this latest Data Science Central webinar, members of Tableau’s Ask Data team will demonstrate how they are lowering the barrier to analytics and leveraging Natural… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ask-data-simplifying-analytics-with-natural"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136706478?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />What if you could directly ask questions of your data? Ask Data, Tableau’s new natural language capability, allows people to get insights by simply conversing with their data. In this latest Data Science Central webinar, members of Tableau’s Ask Data team will demonstrate how they are lowering the barrier to analytics and leveraging Natural Language Processing (NLP) as a tool for visual analysis.<br /> <br /> Looking to quickly make smarter, data-informed decisions and empower others to do the same? Watch this detailed overview of Ask Data’s capabilities to learn more.<br /> <br /> Speakers:<br /> Samantha Kwok, Senior Manager, Engineering - Tableau<br /> Ruhaab Markas, Senior Product Manager - Tableau<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central DSC Webinar Series: Transforming 3rd Party Data Into Actionable Insights tag:www.datasciencecentral.com,2018-12-11:6448529:Video:784571 2018-12-11T00:51:30.382Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-transforming-3rd-party-data-into-actionable"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781531300?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The rise of third party or external data has given data scientists and organizations additional building blocks to discover breakthrough insights. But many data scientists struggle to understand what third party data is relevant and struggle further to efficiently access and transform that data.<br></br> <br></br> In this latest Data Science… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-transforming-3rd-party-data-into-actionable"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781531300?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The rise of third party or external data has given data scientists and organizations additional building blocks to discover breakthrough insights. But many data scientists struggle to understand what third party data is relevant and struggle further to efficiently access and transform that data.<br /> <br /> In this latest Data Science Central webinar, we’ll explore innovative techniques to simplify third party data access and transformation.<br /> <br /> You will learn:<br /> <br /> Techniques for assessing third party data quality and relevance<br /> Strategies for accessing third party data<br /> Information about the third party data landscape as it applies to business outcomes<br /> <br /> Speakers:<br /> Mark Hookey, CEO - DemystData<br /> Richard Scioli, General Manager, Platform - DemystData<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central