Data Engineering Software Engineering Windows 
Xebia
JANUARY 19, 2023
The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.
TechCrunch
JUNE 17, 2021
Data is the world’s most valuable (and vulnerable) resource. ” Image Credits: Transform (opens in a new window). ” Instead, we now embrace — as Mayfield put it — “If you can’t measure it, you can’t move it.” Transform is built around three basic priorities, Handel said.
CIO
APRIL 3, 2023
Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience.
Xebia
MARCH 13, 2025
Prevent repeated feature development work Software engineering best practice tells us Dont Repeat Yourself ( DRY ). This applies to feature engineering logic as well. During development we use interactive notebooks and query historical data stored on a data lake or warehouse.
Netflix Tech
NOVEMBER 20, 2023
Data Accuracy: Late arriving data causes datasets processed in the past to become incomplete and as a result inaccurate. To compensate for that, ETL workflows often use a lookback window, based on which they reprocess the data in that certain time window. data arrives too late to be useful).
High Scalability
JANUARY 22, 2020
Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Make your job search O (1), not O ( n ). Apply here.
High Scalability
NOVEMBER 12, 2019
Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Make your job search O (1), not O ( n ). Apply here.
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