Bringing Data Into Real Time: What You Missed at Current 2022
Confluent
OCTOBER 6, 2022
Current 2022 is a wrap! Here are some of the top keynote speeches, exciting new data streaming technologies, popular sessions, and where to find videos online.
Thu.Oct 06, 2022
104 
Feature Store Summit 2022: A free conference on Feature Engineering
KDnuggets
OCTOBER 6, 2022
Next week, the Feature Store Summit 2022 will bring together leading innovators in cutting-edge technologies and discuss all things on data and AI!
Join 16,000+
Insiders
Sign Up for our Newsletter
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Does Cost Reduction Play a Role in Digital Transformation?
Cloudera
OCTOBER 6, 2022
Digital transformation. Everyone has their own ideas about what digital transformation means, so I decided to look up a few definitions. . Gartner : “Digital transformation can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”. CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”.
Data Quality Fundamentals Expert Panel
KDnuggets
OCTOBER 6, 2022
Join Lior Gavish, co-author and Monte Carlo co-founder, Oct 12 @ 1 PM ET, as he explores the latest in data quality techniques with a panel of some of the foremost experts.
Get Better Network Graphs & Save Analysts Time
Advertisement
Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
PyTorch Infra's Journey to Rockset
Rockset
OCTOBER 6, 2022
Open source PyTorch runs tens of thousands of tests on multiple platforms and compilers to validate every change as our CI (Continuous Integration). We track stats on our CI system to power custom infrastructure, such as dynamically sharding test jobs across different machines developer-facing dashboards, see hud.pytorch.org , to track the greenness of every change metrics, see hud.pytorch.org/metrics , to track the health of our CI in terms of reliability and time-to-signal Our requirements for
11 Questions About Data Engineers: What’s the profession about, and where’s it heading?
KDnuggets
OCTOBER 6, 2022
I hope my answers will be useful to novice data engineers and anyone interested in data engineering.
Sign up to get articles personalized to your interests!
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
More Trending
3 Ways to Process CSV Files in Python
KDnuggets
OCTOBER 6, 2022
This article is about 3 ways you can process a CSV file using Python.
Organizing Talent: Return of the Data Center of Excellence
Monte Carlo
OCTOBER 6, 2022
Will Larson (writer of An Elegant Puzzle – recommended read) may have said it best when he wrote that one of the best kinds of reorganization is the one you don’t do. However, data leaders inevitably reach a point where, due to team growth or evolving business demands, things just don’t work. Faced with these challenges, data organizations may swing back-and-forth between centralized vs. decentralized organizational structures until they achieve the right balance.
Let's personalize your content