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Upcoming Forrester Webinar

Best Practices for Scaling Data Preparation for ML and AI

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Upcoming Webinars



Scale AI/ML With Data Wrangling

Featuring Forrester

  • Forrester Mike Gualtieri & Trifacta Mahesh Gandhe


Panel Discussion:

How DataOps is Adding Value to Data Lakes

  • Waterline Data Alex Gorelik & Trifacta Joe Hellerstein & StreamSets Girish Pancha


Expert Roundtable

Overcoming Data Integration and Governance Challenges

  • Actian Pradeep Bhanot & Trifacta Will Davis & SnapLogic Diby Malakar

On-Demand Webinars

  • English

Top 4 Excel Functions Done Better with Data Wrangling

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. In this webinar, we will demonstrate how to leverage data wrangling techniques to execute common…

  • TCB Analytics Tanya Cashorali & Trifacta David McNamara

Getting Started with Trifacta Wrangler

Here is a webinar recording we made demoing the features of Wrangler, our free desktop edition. Wrangler helps users blend, clean, and prepare their data for further analysis. You can also skip ahead to different topics by clicking the links below (note that you will be taken to YouTube to watch the video): 1:05 Create…

  • Trifacta David McNamara

How Kuecker Logistics Onboards Customers 5 Times Faster

Kuecker Logistics Group (KLG) provides logistics management solutions to help their customers increase distribution efficiency. Kuecker’s solution leverages data preparation, artificial intelligence and advanced visualization to optimize supply chain management, value chain management, industrial automation, inventory management and more. This webinar is an opportunity to learn the latest and greatest practices in modern cloud architecture…

  • Kuecker Logistics Matthew Eskridge & Kayla Compton & Trifacta David McNamara

How Nordea Uses Data to Comply with Financial Regulations

Complying with industry regulations is a deep-seated function for financial institutions, but the ever-changing nature and nuanced complexities of these regulations can be a strain on resources. Today’s institutions are turning to big data to dramatically reduce their response time to regulations and free up resources to focus on revenue drivers. In this video, Executive…

  • Nordea Alasdair Anderson & Paul Lynn

How Business Users are Wrangling Data for Competitive Results

Today’s businesses are faced with figuring out how to deal with an ever-increasing breadth, complexity and importance of new data sources. The rise of social media, IoT, and online interactions/transactions has produced a wealth of valuable new data, yet the majority of it is unfit for traditional tools, such as Excel, because of its volume…

  • Forrester Michele Goetz & Trifacta Joe Hellerstein

Extreme Sports & Beyond: Exploring a new frontier in data with GoPro

The next step in GoPro’s strategy is a recently announced on-demand action sports channel on LG smart TVs, Microsoft Xbox One / Xbox 360. This expanded strategy into content networks and new product offerings brings a set of unique data management challenges. Chief among them: how to make effective use of the massive amounts of…

  • GoPro Josh Byrd & David Winters

How PepsiCo Reduced Analytics Build Time by 90%

Consumer Packaged Goods (CPG) companies such as PepsiCo rely on the seamless communication between a large interconnected network. In order to be successful, this network includes suppliers, production facilities, logistics partners and retailers. View this recorded webinar to learn how PepsiCo’s Collaborative Planning Forecasting & Replenishment team leverages Hortonworks & Trifacta to transform raw retail…

  • Hortonworks Eric Thorsen & Trifacta Connor Carreras & Will Davis

Data Wrangling in Financial Services: Fraud Detection Recorded Webinar

Join thought leaders from Trifacta and Cloudera for an on-demand webinar examining how financial institutions are wrangling diverse data in Hadoop to build faster and more accurate processes for uncovering banking or credit card fraud. By working with new sources and combinations of data, analysts are uncovering new signals and insights that can provide more accurate financial risk models and more effectively…

  • Cloudera Steven Totman & Trifacta Will Davis & Chris Moore

Improving Your Customer Programs by Creating a 360 Profile

Watch our recorded webinar where we examined how companies, such as The Royal Bank of Scotland, prepare and combine previously unusable unstructured data sources are able to create rich 360 degree customer profiles. Learn how these profiles are used to: Target services more effectively for much greater ROI Improve the customer experience by analyzing 100% of customer data…

  • Trifacta Connor Carreras & Quoc Tran

Wrangling, Metadata and Governance: Supervision VS Adoption

To make better use of the growing volume and variety of your organization’s data, you’ve invested in Hadoop as your data lake. You know that proper governance practices are critical, lest your Hadoop data lake turns into a “swamp” of duplicate datasets, multiple versions of the truth, and a general inability of users to locate…

  • Waterline Data Oliver Claude & Cloudera Mark Donsky