Haim Koshchitzky

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Top Stories by Haim Koshchitzky

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 incidents from one location, but the data still must be interpreted. That often involves complex mapping of key and value structures. Log management used to be a dirty word in the enterprise. Just four years ago, a Verizon study determined that nearly 70 percent of security breach victims w... (more)

Semantic Technologies in the Data Center

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 c... (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)