Dataconomy

MAY 26, 2025

As businesses increasingly depend on big data to tailor their strategies and enhance decision-making, the role of these engineers becomes more crucial. They not only manage extensive data architectures but also pave the way for effective data analytics and innovative solutions. What is a big data engineer?

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

Alation

MARCH 22, 2022

Data people face a challenge. They must put high-quality data into the hands of users as efficiently as possible. DataOps has emerged as an exciting solution. As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. Accenture’s DataOps Leap Ahead.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineering 52

Alation

JUNE 21, 2022

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., ML and DataOps teams). After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

ODSC - Open Data Science

JULY 20, 2023

Automating Remediation Processes for Data Security Posture Management Before we look into how we can automate it, it is important to understand how data security posture management helps you achieve your goals.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Iguazio

JANUARY 16, 2024

Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization including a large number of data and AI professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. First, the data lake is fed from a number of data sources.

ML 52

ML ML DataOps Data Scientist 52

Iguazio

JANUARY 16, 2024

Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization, including a large number of data and data science professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. Gennaro Frazzingaro, Head of AI/ML at Sense.

ML 52

ML ML DataOps Data Scientist 52

Alation

AUGUST 11, 2022

DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. The modern data stack depicts this whole loop of how the data is produced and consumed. Tools became stacks.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineering Data Engineering 52