Splunk was founded to pursue a disruptive new vision: make machine data accessible, usable and valuable to everyone. Machine data is one of the fastest growing and most pervasive segments of "big data"—generated by websites, applications, servers, networks, mobile devices and all the sensors and RFID assets that produce data every second of every day. By monitoring and analyzing everything from customer clickstreams and transactions to network activity and call records—and more—Splunk turns machine data into valuable insights no matter what business you're in. It's what we call operational intelligence.
Welcome to the Splunk for Security Investigation Experience. In this fourth video, learn how you can harness the power of analytics to easily detect hidden anomalies in the endpoint, so that you can prevent and mitigate advanced malware such as ransomware. Bookmark Video
Learn how Intelliflo, a U.K. financial advisory and wealth management solutions provider, experienced fast time to value with Splunk Enterprise, gaining a window into business analytics, reducing… Bookmark Video
Watch this demonstration of the Investigation Workbench in Splunk Enterprise Security. This demo highlights how this investigation functionality can enable analysts to streamline incident investigations, reduce time to get contextual data and accelerate incident response. Bookmark Video
Dubai Airports is analyzing data from across the airport to drive efficiency gains and deliver a superior customer experience. Find out what this means in practice, from super-fast wifi to spotless airport bathrooms. Bookmark Video
Thousands of Splunk enthusiasts came from around the world to meet people from various industries, learn new ways to use the Splunk platform, build community and perhaps, most importantly, have fun. Learn why .conf is the one must attend conference of the year. Bookmark Video
In this video, we will be using the Splunk Machine Learning Toolkit’s (MLTK) Forecast Time Series assistant to forecast future values given past values of a metric (numeric time series). In this example, we will forecast the trade-weighted index for a currency with the ARIMA forecasting algorithm.To download and know more about the MLTK app […]