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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

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MongoDB Atlas: Not Your Parents’ Cloud Database

Datavail

More recently, in November 2018, Microsoft Azure announced MongoDB Atlas free tier would be available in limited regions. Other standard Atlas offerings include self-healing clusters, global scalability, virtual private cloud (VPC) security, and easy-to-use performance optimization tools which can be visualized with real-time dashboards.

Cloud 40
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New live online training courses

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Azure Architecture: Best Practices , June 28.

Course 65
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PaaS: How to Find a Reliable Platform as a Service Provider

Mobilunity

With App Engine and the Google cloud solution architecture , developers can build highly scalable applications on a fully managed serverless platform. Microsoft’s Azure PaaS includes operating systems, development tools, database management, and business analytics. Easy scalability. >>> Microsoft.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Azure Architecture: Best Practices , June 28.

Course 49
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How to use Multiple Databricks Workspaces with one dbt Cloud Project

Xebia

Setup the Azure Service Principal : We want to avoid Personal Tokens that are associated with a specific user as much as possible, so we will use a SP to authenticate dbt with Databricks. For this project, we will use Azure as our Cloud provider. All the steps would work in a different provider, with some adjustments.

Cloud 130