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.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

TechCrunch

DECEMBER 9, 2020

that was building what it dubbed an “operating system” for data warehouses, has been quietly acquired by Google’s Google Cloud division. Dataform scores $2M to build an ‘operating system’ for data warehouses. Dataform, a startup in the U.K.

Google Cloud 242

Google Cloud Data Operating System Business Intelligence 242

O'Reilly Media - Ideas

JUNE 4, 2019

Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. Getting Started with Google Cloud Platform , June 24.

Course 66

Course Training Artificial Inteligence Software Review 66

O'Reilly Media - Ideas

JUNE 5, 2019

Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. Getting Started with Google Cloud Platform , June 24.

Course 50

Course Training Artificial Inteligence Software Review 50

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Xebia

FEBRUARY 25, 2024

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

Applications 130

Applications Technical Review Software Review Azure 130

Perficient

FEBRUARY 28, 2023

Once data is in the Data Lake, the data can be made available to anyone. You don’t need an understanding of how data is related when it is ingested; rather, it relies on the data engineers and end-users to define those relationships as they consume it.

Data 110

Data Analytics Google Cloud Cloud 110