Remove 2009 Remove Systems Remove Technology
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The Roots of Today's Modern Backend Engineering Practices

The Pragmatic Engineer

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  Joshua is currently VP of Product & Strategy at VMware, a cloud computing and virtualization technology company.

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Going from Developer to CEO: Chronosphere

The Pragmatic Engineer

In 2009, the tech scene in Australia was not as vibrant as it is today: Atlassian was still small and Canva didn’t exist. Microsoft In 2009, not many US tech companies were hiring, as the sector was still recovering from the 2008 crash. With my team, we built the basics of what is now called AWS Systems Manager.

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Brief History of Data Engineering

Jesse Anderson

Google looked over the expanse of the growing internet and realized they’d need scalable systems. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Apache Spark came in 2009 and gave a unified batch and streaming engine.

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Bun: lessons from disrupting a tech ecosystem

The Pragmatic Engineer

In 2009, it was revolutionary and the majority of the JavaScript backend development community moved to this ecosystem. Technological innovation rarely happens in a vacuum; it builds on previous technologies. In the case of the Node ecosystem, Node is the innovator.

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How Snowflake Helps Confront Data Challenges and Ensure Program Integrity in Healthcare and Human Services

Snowflake

From integrated eligibility programs and Medicaid enterprise systems to child welfare information systems and other human service program modernizations, money has been set aside to ensure federal, state and local governments are keeping up with the ever-changing tech landscape. IESs are the technological backbone for U.S.

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Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

AltexSoft

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

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#ClouderaLife Spotlight: Timur Nersesov, Senior Manager of Professional Services Strategy

Cloudera

Against the backdrop of these uniquely American symbols, Timur would go on to participate in the “business of the country” first in the US Army deployed to Iraq, then as a consultant for public and foreign policy, and finally in his current role, enabling the public sector to solve challenges through Cloudera’s technology. .