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

Kaseya

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Amazon Web Services (AWS) Overview. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Greater Security.

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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. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

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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. Turning fast-moving internet of things (IoT) data streams into insight. Performing real-time or predictive business analytics with minimal latency. Is MongoDB a Better Choice?

Cloud 40
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Business intelligence tools overview: end-to-end BI solutions, ETL tools and libraries, data warehouses, data visualization libraries

Altexsoft

Magic Quadrant for Analytics and BI Platforms as of January 2019. Sisense: “no PhD required to discover meaningful business insights”. Sisense is a business analytics platform that supports all BI operations, from data modeling and exploration to dashboard building. Microsoft Azure services. IoT devices data.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Streaming, IoT, and time series mature.