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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? What is Amazon AWS used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52
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Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

The Citus Data

Americas livestream, Citus open source user, real-time analytics, JSONB) Lessons learned: Migrating from AWS-Hosted PostgreSQL RDS to Self-Hosted Citus , by Matt Klein & Delaney Mackenzie of Jellyfish.co. (on-demand . :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 85
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New live online training courses

O'Reilly Media - Ideas

AWS Security Fundamentals , July 15. AWS Certified Security - Specialty Crash Course , July 25-26. Systems engineering and operations. AWS Access Management , June 6. AWS Certified Big Data - Specialty Crash Course , June 26-27. Azure Architecture: Best Practices , June 28.

Course 71
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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Fundamentals of Machine Learning with AWS , June 19. Building Machine Learning Models with AWS Sagemaker , June 20. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. AWS CloudFormation Deep Dive , June 3-4.

Course 48
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

AWS Security Fundamentals , July 15. AWS Certified Security - Specialty Crash Course , July 25-26. Systems engineering and operations. AWS Access Management , June 6. AWS Certified Big Data - Specialty Crash Course , June 26-27. Azure Architecture: Best Practices , June 28.

Course 52
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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”. Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. AI and Data technologies in the cloud. AI and machine learning in the enterprise.

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Demystifying MLOps: From Notebook to ML Application

Xebia

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.