Azure Database Administration Machine Learning 
CIO
DECEMBER 10, 2024
Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. As organizations rely heavily on data in modern times, database management has only become increasingly important for businesses.
CIO
SEPTEMBER 10, 2024
In September last year, the company started collocating its Oracle database hardware (including Oracle Exadata) and software in Microsoft Azure data centers , giving customers direct access to Oracle database services running on Oracle Cloud Infrastructure (OCI) via Azure.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
OCTOBER 13, 2023
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.
O'Reilly Media - Ideas
JANUARY 22, 2019
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.
Cloudera
SEPTEMBER 9, 2021
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.
O'Reilly Media - Ideas
FEBRUARY 18, 2020
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.
Datavail
JUNE 8, 2023
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.
Expert insights. Personalized for you.
203 
Let's personalize your content