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Revolutionizing System Testing With AI and ML

DZone

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. This is where software testing comes in. As software systems become more complex, testing becomes more critical than ever.

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Top 15 Software Testing Trends to Watch Out in 2021

DZone

There has been a great advancement and growth in the sector of QA testing with the latest trends introducing into IT field services. The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. The high priority of enterprises around the world is cost optimization.

Software 186
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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team. What drew you to Netflix?

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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. By Werner Vogels on 18 August 2011 04:00 PM. Comments ().

Big Data 111
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Experiences with approximating queries in Microsoft’s production big-data clusters

The Morning Paper

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. VLDB’19. Approximate query support.

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What is IT automation?

Dynatrace

Testing automation can be painstaking. It’s also crucial to test frequently when automating IT operations so that you don’t automatically replicate mistakes. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation.

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How Our Paths Brought Us to Data and Netflix

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Analytics 223