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Leverage Streaming Data in a Microservices Ecosystem
Slideshow
Imagine a world where operational data is continuously flowing from applications and devices at an extremely high rate. Now imagine services intercepting this data and analyzing it real time. Sounds futuristic? It's not—it's here today. Mark Richards describes what streaming architecture...
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Mark Richards
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Data Quality at the Speed of Work
Slideshow
In this fast-paced data-driven world, the fallout from a single data quality issue can cost thousands of dollars in a matter of hours. To catch these issues quickly, system monitoring for data quality requires a different set of strategies from other continuous regression efforts. Like a...
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Shauna Ayers
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Real Time IoT and Mobile Data: Put It to Work for Your Users
Slideshow
Every app is producing huge amounts of data, recording everything from location changes and button taps to data usage and acceleration. But what do you do with this flood of data? How can you make historical data a powerful tool for your users? How do you store it, let alone process it?
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Siva Katir
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Five Critical Elements for Successful Agile Data Management
Slideshow
In the past few years we’ve used cloud technologies to improve pre-production flexibility and solve many problems that previously prevented us from delivering high quality apps to production. However, one problem consistently prevents full test coverage prior to deployment—the lack of...
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Robert Kelman
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Data-Driven Software Testing: The New, Lean Approach to Quality
Slideshow
The Internet of Things and always connected devices are generating exabytes of user data and device telemetry. Organizations worldwide are leveraging this data for new products and new business insights, but this data is also fundamentally changing how organizations drive, assess, and...
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Ken Johnston, Microsoft
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Better Software Conference East 2013: Data Collection and Analysis for Better Requirements
Slideshow
According to studies, 64 percent of features in systems are rarely—or never—used. How does this happen? Today, the work of eliciting the customers' true needs, which often remains elusive, can be enhanced using data-driven requirements techniques. Brandon Carlson describes why traditional...
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Brandon Carlson, Lean TECHniques, Inc.
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STARWEST 2013: Mobile Test Automation with Big Data Analytics
Slideshow
Organizations with a mobile presence today face a major challenge of building robust automated tests around their mobile applications. However, organizations often have limited testing resources for these increasingly complex projects, and stakeholders worry about the quality of the product.
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Tarun Bhatia, Microsoft
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Seeking the Agile Path through Database Design
Slideshow
Being first to market or meeting rapidly changing customer demands compels development teams to build systems while requirements are still being discovered. Developing a relational database design ahead of its requirements can paint you into a corner—with a product that suffers from...
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Jonathan Wiggs, Netmotion Wireless, Inc.
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Trends in Big Data Testing
Slideshow
The Big Data has three unique characteristics—Volume, Velocity, and Variety. Today’s big data applications are growing dramatically. We must process data ever more quickly so we can respond to events as they happen, and that data is arriving from an ever wider array of channels...
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Stefano Rizzo, Polarion Software
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An Interview with Michael Mah: ADC-BSW 2013 Interview Series
Video
Committed to covering the latest trends and approaches for anyone investigating or implementing agile development practices, processes, technologies, and leadership principles, Agile Development & Better Software Conference West offers their 2013 interview series.
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Michael Mah, QSM Associates Inc.
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