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Upcoming Webinars



Why ML-Powered Data Preparation is Foundational for Modernizing Analytics

  • ExploreDigits Ravi Hubbly & Trifacta Monte Montemayor

On-Demand Webinars

  • English

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

Data Prep For Data Ops: How To Select & Deploy

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,…

  • Forrester Cinny Little & Trifacta Will Davis

Transform a Data Swamp into a Data Lake with Enterprise Data Management Strategies

Clean data is crucial for deriving insight from data and powering applications like Predictive Analytics, Business Intelligence, Machine Learning and Artificial Intelligence. “Research shows that 40% of the anticipated value of all business initiatives is never achieved. Poor data quality in both the planning and execution phases of these initiatives is a primary cause,” according…

  • Caserta Alex Lovell-Troy & Trifacta Vijay Balasubramaniam

How to Structure a Modern DataOps Team

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

  • Forrester Michele Goetz & Trifacta Will Davis

Building Actionable Machine Learning Models Using Trifacta, DataRobot, and Tableau

From preparing data for machine learning to putting models to work and visualizing insights, delivering ROI from analytical projects used to take months. Self-service data preparation from Trifacta and automated machine learning from DataRobot expedites the entire process of developing and deploying actionable machine learning models to days. In this webinar recording, industry expert Jen…

  • DataRobot Jen Underwood

How the Role of Data Prep & ETL is Evolving

As businesses have modernized data processes to prioritize self-service and agility, the need for more “analysis ready” data, faster, has led to the advent of modern data preparation solutions. Data preparation platforms prioritize ease of use, rapid iteration, and machine learning-guided functionality to make the traditionally-tedious process of data cleaning more efficient and accessible to…

  • Ovum Paige Bartley & Trifacta Will Davis