big data
Articles
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Finding the Information inside Your Data Data analysts have to know a lot about diverse business areas so that our reports provide usable information, not just data. We can use this awareness of the value of information to merge different data sets in order to answer new questions, and even help our users make better decisions. But in order to do this, we need to present not just the data, but the information value represented in that data. |
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7 Steps to Improving Your Data Testing When you have tens of thousands of rows of data, how do you know what to test or how much to test? A set percentage? Random test cases? When do you stop testing? It can be overwhelming. Here are seven steps to help your team streamline their data testing efforts and know what to test, how much to test, and when to stop testing. |
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Big Data’s Relationship with Business Intelligence and Data Warehousing You’ve probably heard the buzz about big data and business intelligence data warehouses. Both deal with collecting information for analysis, but how are they different? When should you use one or the other? This article explains these two data solutions in a user-friendly way with real-world examples. |
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A Dystopian World for Software Testers You've entered the Twilight Zone. A robot that uses the cloud and massive amounts of big data can completely test software programs while detecting all bugs, rendering testers obsolete. But wait—the robot in this dystopian tale isn't utilizing special abilities only it can possess; these are methods any skilled tester should be employing right now. |
Better Software Magazine Articles
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Why NoSQL Matters and What Configuration Management Experts Need to Know About It NoSQL is a new approach to data storage that addresses many problems associated with relational databases. Many highly popular websites—including Facebook, Netflix, and Digg—are using NoSQL to crunch large volumes of data. Eugene Dvorkin gives us insight into why NoSQL is important and what CM experts need to know about it. |
Interviews
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Digital Transformation and the Need to Interpret Data: An Interview with Kevin McCaffrey In this interview, Kevin McCaffrey, the founder and CEO of Tr3Dent, details why digital transformations have become so important in the software industry and why companies need to understand how to utilize the data they’re getting from internet of things devices. |
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Bold Questions over Big Data: An Interview with Matt Coatney In this interview, Matt Coatney discusses the importance of asking bold questions, the big misconceptions behind big data, the best way to start your approach to big data, and his vision for a future where technology and big data make the world a better place. |
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Demystifying Big Data: An Interview with Manish Arora In this interview, Manish Arora demystifies big data by covering some of the biggest misperceptions and pain points held by businesses and SMEs. Arora also talks about his recent article featured on LinkedIn and why it's important to put good teams and technology into proper perspective. |
Conference Presentations
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Leverage Big Data and Analytics for Testing
Slideshow
Sabermetrics turned the baseball world upside down by challenging decades-old measures of individual performance and their perceived linkage to team success. After cementing their legacy as the Lovable Losers for 108 years, the Chicago Cubs were able to leverage a data-driven approach... |
Geoff Meyer
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Leverage Big Data and Analytics for Testing
Slideshow
Sabermetrics turned the baseball world upside down by challenging decades-old measures of individual performance and their perceived linkage to team success. After cementing their legacy as the Lovable Losers for 108 years, the Chicago Cubs were able to leverage a data-driven... |
Geoff Meyer
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Big Data, Big Trouble: Getting into the Flow of Hadoop Testing
Slideshow
Big Data, one of the latest buzzwords in our industry, involves working with petabytes of data captured by various systems and making sense of that data in some way. Maryam Umar has found that testing systems like Hadoop is very challenging because of the frequency with which the data... |
Maryam Umar
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Mobile Dev + Test 2015: Mobile Test Automation with Big Data Analytics
Slideshow
Development and test organizations face major challenges when building robust automated tests around their mobile applications. With limited testing resources and increasingly more complex projects, stakeholders worry about the risk and quality of mobile products. So how do you plan a... |
Tarun Bhatia, Microsoft
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