O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

CIO

JUNE 19, 2024

The core roles in a platform engineering team range from infrastructure engineers, software developers, and DevOps tool engineers, to database administrators, quality assurance, API and security engineers, and product architects. Scale up, then expand out.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

OCTOBER 2, 2020

Data modelers work closely with stakeholders to find out what data is useful for the company and build basic data entities (models) representing the core business concepts (for example, products and customers), their key attributes, and relationships between them. Database administration: maintaining data availability.

Strategy 64

Strategy Database Administration Data Technical Review 64

TIBCO - Connected Intelligence

JUNE 29, 2020

Further, these challenges are growing exponentially as massive data trends, such as the ten I identified in a recent blog , combine to make data management more complex and difficult than ever. Take your data integration process for example. In fact, data engineering staffing savings of 40 percent are typical.

Data 45

Data Artificial Inteligence Data Engineering Database Administration 45

TIBCO - Connected Intelligence

JUNE 2, 2020

Lets face it, from database administrator to data steward, data engineer to developer, business analyst to data scientists, your data management workloads are expanding apace your growing data complexity. Your Fourth Ace: Augmented People.

Technology 49

Technology Artificial Inteligence Database Administration Architecture 49