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Why ML-Powered Data Preparation is Foundational for Modernizing Analytics

  • ExploreDigits Ravi Hubbly & Trifacta Monte Montemayor

On-Demand Webinars

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Accelerate Analytics Projects with Data Prep on AWS

Leveraging the benefits of effective data preparation to help modernize legacy ERP systems is a vital component in modernizing an organizations data workflow systems. Complex pattern matching and parsing of unstructured data requires a great deal of time and effort often utilizing labor intensive hand coding. Join us for this latest Data Science Central webinar to learn how…

  • B/A Products Co Jacob S J Joseph & B/A Products Co. Samantha Winters & Trifacta Matt Derda

Why Data Prep is Step 1 for Analytics Success

Data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analytics. Meanwhile, organizations are increasingly moving data and analytics from the on-premise environment to the cloud as part of their digital transformation initiatives. The rapid migration to the cloud further extends this data preparation nightmare given the…

  • Trifacta Jie Wu & Ventana Research David Menninger

Balance of Power: Self-Service Analytics Empower Today’s Experts

The long-fought battle of business and IT is finally giving way to a new era of cooperation, largely thanks to the maturation of self-service analytics. By providing analysts with the tools they need to prepare data efficiently, technical teams can focus on other challenges. The biggest winners are domain experts, who now spend the majority…

  • The Bloor Group Eric Kavanagh & TreeHive Strategy Donald Farmer & Trifacta Matt Derda

Expert Roundtable: Overcoming Data Integration and Governance Challenges

The proliferation of data sources, types, and stores is increasing the challenge of combining data into meaningful, valuable information. The need for faster and smarter data integration capabilities is growing. At the same time, to deliver business value, people need information they can trust to act on, so balancing governance is absolutely critical nowadays, especially…

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

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…

How DataOps is Adding Value to Data Lakes

The terms big data and data lakes definitely have the potential to shake up the technology world, but many questions remain around how to leverage them for maximum business value. Join us for an interactive webinar featuring Alex Gorelik, best-selling author of “The Enterprise Data Lake, Delivering the Promise of Big Data and Data Science”, Joe…

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

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