ITOA or IT operations analytics is a recent entry to the field of analytics. ITOA automates the process of collecting, organizing, and identifying patterns in highly distributed, diverse and fast-changing service and application data to identify problems faster and improve IT system performance. IT Operations Analytics can be applied to the modern IT Infrastructure and Operations environment. What it exactly does is that it Collects, index and monitor logs and events for abnormalities, perform ad-hoc searches of all log data across the entire IT environment from a single console and correlate log data with events and service models, or application groups. This helps in detecting and resolving service issues more quickly than ever before. Read more at: http://insidebigdata.com/2015/06/09/it-operations-analytics/

Cloud has changed the dynamics of data analytics. It is believed that in the coming five years, organizations will be spending more on cloud based big data and analytics solutions than on the on premise solutions. Dave Wang, senior product marketing manager at Databricks, lists down 5 major reasons why data analytics in cloud is becoming a top priority for organizations trying to build a competitive edge through analytics. To know which among them has an upper hand and why, follow the link http://insidebigdata.com/2015/05/08/5-reasons-data-analytics-in-the-cloud-will-take-center-stage-in-2015/