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AI Can Help with Secure Quality Assurance Testing

Smart Data Collective

We talked about the benefits of data analytics for QA teams , but AI can be just as important. The process of ensuring that your product or software is of the best quality for your clients is referred to as quality assurance testing or QA testing. Performing Quality Assurance Testing with a Security Approach.

Testing 86
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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

Metrics 130
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Automate deployment and version updates for Amazon Kinesis Data Analytics applications with AWS CodePipeline

AWS Big Data

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

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Advances in Data Analytics Are Rapidly Transforming Nursing

Smart Data Collective

You can’t even sleep uninterrupted without getting woken up every few hours for a test or a check-in. Referred to as the Internet of Things (IoT) these devices communicate directly with doctors or the patient themselves to provide up-to-the-minute health updates that can be lifesaving. You can’t eat without them bringing you food.

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Why the Data Journey Manifesto?

DataKitchen

Today we have had over 20,000 signatures , millions of page views, and copycat clones, and it is frequently used as a reference guide. For example, just a few weeks ago, Microsoft announced data fabric, and John Kerski used it to frame up the discussion of how Microsoft data fabric supports DataOps principles.

Testing 130
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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

The dominant references everywhere to Observability was just the start of awesome brain food offered at Splunk’s.conf22 event. Reference ) The latest updates to the Splunk platform address the complexities of multi-cloud and hybrid environments, enabling cybersecurity and network big data functions (e.g., is here, now!