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Haim Koshchitzky

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Top Stories by Haim Koshchitzky

Leading Web search portals are using semantic search engines to deliver answers instead of results. That same technology is now emerging in the enterprise. It can help developers tame log data by uncovering information about application performance problems and answering the question ‘what went wrong?'. We've all been there: you're looking for something on the Web, and the search engine returns a lengthy list of blue links. All of the Web pages are shown in one place, but it takes time and effort to find the right one. The same is true for many application log tools, which may centralize information but fail to identify the actual problem. Enterprise applications can "live" in many places and their logs might be scattered and unstandardized. First generation log analysis tools made some of the log data searchable, but the onus was on the developer to know what to ... (more)

The Rise of the Machine: Intelligent Log Analysis Is Here

Application logs contain a massive repository of events and come in many different formats. They can have valuable information, but gaining useful insight can be difficult without the assistance of machine learning to help reveal critical problems. Transaction logs can contain gigabytes of data and come in proprietary formats. Some applications even have separate consoles, and captured events differ by organization depending upon compliance requirements and other considerations. Centralized log management has made it easier to troubleshoot applications and investigate security i... (more)

Big Data Needs a Thought Collective

Sharing data is a cornerstone of the scientific method because it makes it possible to replicate work. That foundation is mostly absent from data science, which makes obtaining and reusing knowledge more difficult than it should be. Job postings for data scientists increased 15,000 percent between 2011 and 2012, and Gartner predicted that 63% of organizations would invest in Big Data this year. The communications, consumer, education, financial, healthcare, government, manufacturing, and retail sectors are all adopting business practices that are using data science to inform the... (more)