All Videos Tagged Trifacta (Data Science Central) - Data Science Central 2021-07-30T08:46:33Z https://www.datasciencecentral.com/video/video/listTagged?tag=Trifacta&rss=yes&xn_auth=no DSC Webinar Series: The State of Data Preparation in 2019 tag:www.datasciencecentral.com,2019-06-25:6448529:Video:846235 2019-06-25T21:30:56.229Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved tremendously since the category first emerged in 2015. So what’s new? How far have we come? Where are we headed in the future?<br /> <br /> Join this latest Data Science Central webinar with Dresner Advisory Service’s Chief Research Officer, Howard Dresner, for an overview of the data preparation market. In the session, Howard reviews findings from his 2019 “Wisdom of the Crowds Market Study” on data preparation, compiled from end user responses.<br /> <br /> This webinar will cover the following topics:<br /> <br /> How data preparation is being utilized within organizations – what users &amp; departments utilize data prep?<br /> What are the most critical features of data preparation technologies?<br /> Differences between traditional ETL technologies and this new generation of data preparation tools.<br /> <br /> Speakers:<br /> Howard Dresner, Chief Research Officer Analyst - Dresner Advisory Services<br /> Will Davis, Senior Director of Product Marketing - Trifacta<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Scale AI/ML with Data Wrangling Featuring Forrester tag:www.datasciencecentral.com,2019-06-05:6448529:Video:834537 2019-06-05T22:24:26.704Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-scale-ai-ml-with-data-wrangling-featuring"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2783842558?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The Machine Learning Race is upon us. Every organization is seeking to outpace their competition by leveraging AI/ML to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-scale-ai-ml-with-data-wrangling-featuring"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2783842558?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The Machine Learning Race is upon us. Every organization is seeking to outpace their competition by leveraging AI/ML to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available algorithms and ML toolkits. Yet, organizations ramping up these initiatives soon find that their ML processes are only useful if the data that is feeding them is clean and structured for the task at hand. They quickly learn that scaling machine learning is entirely dependent upon scaling data wrangling processes.<br /> <br /> Join Forrester VP &amp; Principal Analyst, Mike Gualtieri and Trifacta Head of Platform Product Management Mahesh Gandhe for a live webinar covering organizational best practices for scaling data preparation in order to scale ML and AI initiatives.<br /> <br /> In this latest Data Science Central webinar you can expect to learn:<br /> <br /> Common data prep bottlenecks in machine learning such as data quality, feature engineering &amp; data blending<br /> How data preparation platforms improve scale, collaboration and automation of wrangling data for AI<br /> Organizational best practices and deployment scenarios for data preparation &amp; machine learning in cloud, on-premises and hybrid/multi-cloud environments<br /> <br /> Featured Speakers:<br /> Mike Gualtieri, VP &amp; Principal Analyst - Forrester<br /> Mahesh Gandhe, Head of Platform Product Management - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Data Prep for Data Ops: How to Select & Deploy tag:www.datasciencecentral.com,2019-02-19:6448529:Video:803829 2019-02-19T16:29:43.312Z Andrei Macsin https://www.datasciencecentral.com/profile/AndreiMacsin <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-prep-for-data-ops-how-to-select-deploy-1"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1152690780?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-prep-for-data-ops-how-to-select-deploy-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1152690780?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data.<br /> <br /> Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest Data Science Central webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018.<br /> <br /> During this webinar you will learn:<br /> <br /> • Where does data preparation fit within DataOps<br /> • What are the key technical &amp; business differentiators of data preparation solutions<br /> • How to align the right technologies, people and processes<br /> <br /> Speakers:<br /> Will Davis, Sr. Director of Product Marketing - Trifacta<br /> Cinny Little, Senior Analyst - Forrester<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central DSC Webinar Series: Data Prep & Automated ML: Better Predictions for Consensus tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803474 2019-02-18T22:58:14.477Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-prep-automated-ml-better-predictions-for"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136869624?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsidiary, has developed a highly accurate solution to identify fraud at the point-of-sale before it happens.<br></br> <br></br> In this latest Data Science Central webinar, you… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-prep-automated-ml-better-predictions-for"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136869624?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsidiary, has developed a highly accurate solution to identify fraud at the point-of-sale before it happens.<br /> <br /> In this latest Data Science Central webinar, you will learn how Consensus put together agile processes on a cloud analytic solution leveraging Trifacta data preparation and DataRobot automated machine learning to prevent fraud.<br /> <br /> Attendees will learn:<br /> <br /> • How Consensus developed an AWS cloud-based solution<br /> • The role of data preparation in supplying accurate data for machine learning models<br /> • How automated machine learning can drive more accurate predictions<br /> • Consensus’s time-saving ROI from building models, deploying them on AWS, and the improvement in accuracy and recall<br /> <br /> Speakers:<br /> David McNamara, Lead Product Specialist - Trifacta<br /> Harrison Lynch, Sr. Director of PM - Consensus Corporation<br /> Rajiv Shah, Data Scientist - DataRobot<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central DSC Webinar Series: Top 4 Excel Functions Done Better with Data Wrangling tag:www.datasciencecentral.com,2018-05-21:6448529:Video:723526 2018-05-21T23:30:59.217Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-4-excel-functions-done-better-with-data"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781537455?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Analysts have relied on Excel for decades, but as the size, variety, and pace of data accelerates, certain Excel functionality has begun to feel archaic. Today's data wrangling platforms offer analysts new approaches to preparing data that alleviate Excel bottlenecks.<br></br> <br></br> In this latest Data Science Central webinar, we will… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-4-excel-functions-done-better-with-data"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781537455?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Analysts have relied on Excel for decades, but as the size, variety, and pace of data accelerates, certain Excel functionality has begun to feel archaic. Today's data wrangling platforms offer analysts new approaches to preparing data that alleviate Excel bottlenecks.<br /> <br /> In this latest Data Science Central webinar, we will demonstrate how to leverage data wrangling techniques to execute common Excel functions more effectively, including:<br /> <br /> A side-by-side comparison of Excel vs. data wrangling platform<br /> Examples of real-world applications for data wrangling techniques<br /> Key functionality of a modern data wrangling platform<br /> Speakers:<br /> David McNamara, Customer Service Executive -- Trifacta<br /> Tanya Cashorali, Founding Partner -- TCB Analytics<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central