article thumbnail

What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 331
article thumbnail

Our PGDay Chicago 2023 Event Recap

Datavail

During my session, I discussed the myth that once databases are moved to a cloud provider, the company won’t need their database administration (DBA) team. Many people mistakenly believe that when they move their databases to a cloud provider, they don’t need a database administrative (DBA) team.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Value Proposition of the Cloudera Operational Database over Legacy Apache HBase Deployments

Cloudera

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Operational efficiency across activities such as platform management / database administration, security and governance, and agile development (e.g., Savings opportunity on Azure.

Storage 94
article thumbnail

Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. machine learning and deep learning models; and business intelligence tools. Sample of a high-level data architecture blueprint for Azure BI programs.

Data 87
article thumbnail

9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud.

article thumbnail

Data Summit 2023 Event Recap

Datavail

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. He noted that over the last few years, advances in technology have had a major impact on database administrator roles and responsibilities.

article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. relational database,” “Oracle database solutions,” “Hive,” “database administration,” “data models,” “Spark”—declined in usage, year-over-year, in 2019.