Data Engineering Weekly

APRIL 14, 2024

Every survey demonstrates an increase in productivity in software development with copilot-type tools. Github shares some insights on how Github engineers use Github Copilot. link] Intel: Four Data Cleaning Techniques to Improve Large Language Model (LLM) Performance If someone asks me to define LLM, this is my one-line definition.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? What is a decentralized data architecture?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Monte Carlo

JULY 5, 2023

while overlooking or failing to understand what it really takes to make their tools — and, ultimately, their data initiatives — successful. When it comes to driving impact with your data, you first need to understand and manage that data’s quality. They can really understand [what it means] when data is wrong.”

High Quality Data 52

High Quality Data Data Software Engineer Software Engineering 52

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. Instead, Facebook came to realize that the work we were doing transcended classic business intelligence. The data engineer’s focal point is the data warehouse and gravitates around it.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Monte Carlo

MAY 17, 2023

Luckily, the data observability solution caught what otherwise would have been an otherwise difficult to detect issue. Mitigate Risk of Data Failures Software engineers are also challenged by system and code issues, but data engineers are faced with the unique challenge of issues within the data itself.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Luckily, the data observability solution caught what otherwise would have been an otherwise difficult to detect issue. Mitigate Risk of Data Failures Software engineers are also challenged by system and code issues, but data engineers are faced with the unique challenge of issues within the data itself.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52