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
From artificial intelligence to serverless to Kubernetes, here’s what on our radar. Artificial intelligence for IT operations (AIOps) will allow for improved software delivery pipelines in 2019. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud.
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Openxcell
JANUARY 6, 2023
Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure are the top suppliers of this kind of cloud service, although there are others. The first IaaS provider was and is still Amazon Web Services, which is followed by Microsoft Azure , Google Cloud Platform , Alibaba Cloud , and IBM Cloud. Microsoft Azure.
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.
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.
Altexsoft
MAY 12, 2023
It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., Hadoop, Apache Spark).
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