Join GDM and the co-founders of Ternary Data, Joe Reis and Matt Housley, as we explore the 3 key things that data engineers need to know in 2022 (and beyond).
We will explore the top technologies that are a must-know, the technical skills that can make or break the job, and concepts/methodologies that are hyper relevant to the data engineers day-to-day.
Grab your coffee and join us for this slide-free discussion that can help new engineers up-level their game and seasoned engineers find renewed inspiration.
ABOUT MATT + JOE:
Matt and Joe fondly consider themselves "recovering data scientists". They are the authors of Fundamentals of Data Engineering, which is being published by O'Reilly Media later this year.
ABOUT TERNARY DATA:
Ternary Data is a data engineering & data architecture consulting firm led by veteran data engineers, data scientists, and college professors. Rest assured that you’re dealing with people who have deep, real-world experience (and the battle scars to prove it).
Ternary Data is not your typical data consultancy. Get no-nonsense, no BS data engineering strategy, coaching, and advice. Trusted by great companies, both huge and small.
Author Series: The Chief Data Officer’s Playbook
Author Series: The Unified Star Schema by Francesco Puppini and Bill Inmon
Data & Analytics Leadership Perspectives: Khaled Chowdhury - CMC Materials
May I Have Your ATTENTION, Please: An ”Attention Economy” Fireside Chat
Demystifying Geospatial Data
Do you hire ”OLD PEOPLE”? Ageism in Tech: An Ongoing Battle
2nd Annual GDM Women Panel Discussion with Top Data Leaders in Denver
Stop the Madness: Adopting Modern Governance for Digital Transformation
International Institute for Analytics‘ Impact on the Data Industry
Banish Burnout: Unselfish Self-Care for Busy Women
How Starburst Enables Digital Transformation + Immediate Time-to-Insights
Author Series: People Skills for Analytical Thinkers
Author Series: People Before Things with Chris Laping
Microsoft’s Data Strategy and How it Accelerates a Data Culture
Getting Out of the Machine Learning POC Cycle Funk
Confidence Is Not What You Think
Author Series: 97 Things About Ethics Everyone In Data Science Should Know
Deep Dive Google Data Services
War Wounds and Wins: Machine Learning Stories from the Frontline
Author Series: Building Analytics Teams
Create your
podcast in
minutes
It is Free
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
The Unbelivable Truth - Series 1 - 26 including specials and pilot
Acquired