debug

In most applications we use today, data is retrieved by the source code of the application and is then used to make decisions. The application is ultimately affected by the data, but source code determines how the application performs, how it does its work and how the data is used. Today, in a world of AI and machine learning, data has a new role – becoming essentially the source code for machine-driven insight. With AI and machine learning, the data is the core of what fuels the algorithm and drives results. Without a significant quantity of good quality data related to the problem, it’s impossible to create a useful model. Download this Whitepaper to learn why the process of identifying biases present in the data is an essential step towards debugging the data that underlies machine learning predictions and improves data quality.

In most applications we use today, data is retrieved by the source code of the application and is then used to make decisions. The application is ultimately affected by the data, but source code determines how the application performs, how it does its work and how the data is used. Today, in a world of AI and machine learning, data has a new role – becoming essentially the source code for machine-driven insight. With AI and machine learning, the data is the core of what fuels the algorithm and drives results. Without a significant quantity of good quality data related to the problem, it’s impossible to create a useful model. Download this Whitepaper to learn why the process of identifying biases present in the data is an essential step towards debugging the data that underlies machine learning predictions and improves data quality.

Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It provides an end-to-end platform that can collect, curate, analyze, and act on data in real-time, on-premises, or in the cloud with a drag-and-drop visual interface. This book offers you an overview of NiFi along with common use cases to help you get started, debug, and manage your own dataflows.

Every enterprise has a wide variety of IT requirements where integration is needed. The rapid proliferation and adoption of cloud and mobile technologies has accentuated the financial impact of these needs. In response, the integration space has matured to include feature-rich stacks from enterprise integration vendors that provide full, multi-layer platforms in the form of an Enterprise Service Bus (ESB) or SOA suite. But with these very broad capabilities comes complexity—multi-layer stacks can be difficult and costly to install, debug, administer and secure.

In this paper, learn how a proven workload automation solution can help you shorten development time and get Hadoop applications into production more quickly. By replacing scripting with the standard functions provided by a workload automation system, you can also deliver an application that is simpler, more reliable, and easier to debug once in production.

Terry Bass, V Series and OpenVOS Product Manager, discusses the arsenal of industry standard and open source applications available today on OpenVOS that make UNIX and Linux programmers immediately productive on the world’s most reliable operating system. VOS is now OPEN.

Learn how to understand, manage and debug problems due to size, complexity and scale in operation of virtualized networks for modern data centers, including developer- and user-controlled software in clouds.

Learn how to understand, manage and debug problems due to size, complexity and scale in operation of virtualized networks for modern data centers, including developer- and user-controlled software in clouds.

Join us at ESC Boston, September 21-24 at the Hynes Convention Center, in Boston, MA. Expo registration is FREE, and advanced registration pricing is still available for conference packages.

Have you ever had to work with your log files once your application left development? If so, you quickly run into a few pain points. Learn how to create a “culture of logging” and work smarter, not harder.

A DBA’s life is full of surprises – some more pleasant than others. As a DBA you’re pretty much “on it” 24-7-365: putting out fires, checking alerts, training people, keeping test databases in sync with production, debugging, and praying your developers are writing halfway decent code. If you’re swinging over to the NoSQL side (the “dark” side?), or considering it, then you’ll want to read this white paper, The DBA’s Guide to NoSQL. It’s essentially a NoSQL bible, sans orders from God -- or Darth Vader.

A DBA’s life is full of surprises – some more pleasant than others. As a DBA you’re pretty much “on it” 24-7-365: putting out fires, checking alerts, training people, keeping test databases in sync with production, debugging, and praying your developers are writing halfway decent code. If you’re swinging over to the NoSQL side (the “dark” side?), or considering it, then you’ll want to read this white paper, The DBA’s Guide to NoSQL. It’s essentially a NoSQL bible, sans orders from God -- or Darth Vader.