Data School

Presenting The Data School, our online resource for people who work with data

Learn More
 

Webinars

Upcoming Webinars

 

Upcoming

Cloud Data Warehouse Automation at Greenpeace International

  • Trifacta Bertrand Cariou Greenpeace Torbjorn Zetterlund & Data Science Central Sean Welch

On-Demand Webinars

Language
  • English
  • French
  • German
 

The State Of Data Preparation In 2019

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 […]

    Scale AI/ML With Data Wrangling

    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, […]

    • Forrester Mike Gualtieri & Trifacta Mahesh Gandhe

    Modernizing Data Quality for the Era of Cloud & AI

    Over the past few years, the evolution of technology for storing, processing and analyzing data has been staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought possible. Yet, why are so many organizations still struggling to drive meaningful ROI from their […]

    • The Bloor Group Eric Kavanagh & Trifacta David McNamara & dbINSIGHT Tony Baer

    Expanding Your Data Science and Machine Learning Capabilities

    Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. The challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model training and deployment. In […]

    • Cloudera Bethann Noble & TigerGraph Gaurav Deshpande Trifacta Will Davis & DBTA Stephen Faig

    How SDI Modernized Supply Chain Data

    PROCUREMENT ANALYSTS AUTOMATE REPORTING USING TRIFACTA ON CLOUDERA The Merchandise, Repair, and Operations (MRO) industry is traditionally on the back end of technology. Analysts struggle with the limitations of Microsoft Excel to be effective in their reporting. The procurement analyst may not have the technical skill set to generate complex code to solve their problems, […]

    • SDI John Delligatti Cloudera Michael Ger Trifacta Matt Derda

    Why Data Management Requires Modern DataOps

    Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. The advent of cloud platforms from AWS, Microsoft Azure and Google Cloud gives every business the ability to swipe a credit card and have access to virtually any computing service…to handle just about any data initiative. Yet, why […]

    • Forrester Noel Yuhann & Trifacta Will Davis

    How to Use Data Prep to Accelerate Cloud Data Lake Adoption

    What began as a trickle is now the mainstream: Organizations are moving to the cloud for data management. No longer is the cloud just a cheaper place to park data; it is key to supporting business-critical innovation in advanced analytics, data science, and AI as well as for end-user business intelligence, data exploration, and data […]

    • TDWI David Stodder

    How to Streamline DataOps on AWS

    The quest for the insight-driven enterprise has spurned a mass exodus to the cloud. But cloud data ecosystems can be very complex with multiple data storage and processing options. Most organizations are struggling with how to accelerate analytics in their data lake environments. For example, many organizations are struggling to figure out how to manage […]

      Data Prep & Automated ML: Better Predictions For Consensus

      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. In this latest webinar, you will learn how Consensus put together agile processes on a cloud analytic […]

      • Trifacta David McNamara, Consensus Harrison Lynch & DataRobot Rajiv Shah

      Clean Data & Accurate Machine Learning Models

      Predictive analytics can provide your organization with data insights and differentiation to rise above the competition. However, Machine learning (ML) outcomes are only as good as the data they are built upon. Getting the data ready for accurate modeling is time consuming, cumbersome, and a waste of data professionals’ skills to be polishing the materials […]

      • AWS Kris Skrinak & Trifacta Vijay Balasubramaniam
      s