They will need to build a comfort level with machine-generated data
and a corresponding certainty that their own analyses will ultimately drive all inferences.
Compared to machine-generated data
, human-generated data is infinitely more difficult to manage and organize.
The programme, available online, also covers best practices among leading organizations and example use cases on big data for digital marketing optimization, social network and relationship analysis, fraud prevention, and applications from machine-generated data
The acquisition, which closed on January 11, 2018, will add significant data management capabilities and provide customers with an open platform for integrating machine-generated data
that can easily incorporate new security technologies and big data sources to adapt to the evolving threat environment.
Big Data Management Capabilities X15 Software technology solves the complex problem of collecting, querying and analyzing large volumes of machine-generated data
.conf2016 attendees will learn how to gain Operational Intelligence from machine-generated data
by improving customer experience and service delivery, enhancing IT performance, shipping better code faster, providing timely business insights or reaching new levels of security in their organization.
Yet companies today also see opportunity to gain insight from machine-generated data
, i.e., data generated by web servers, cloud applications, sensors and more.
The Splunk software platform collects machine-generated data
Unstructured data refers to machine-generated data
such as system logs, web-click logs, or sensor data.
By 2014, growth is predicted to reach 7 ZBs a year, fuelled in part by the rapid rise of machine-generated data
. Clearly, exponential data growth, diversity of data types and never-ending demands for optimised retention will create the perfect storm unless healthcare IT steers toward a more holistic approach to data management.
It also found that the management of big interaction data, including social media data (35 per cent), mobile device data (31 per cent) and machine-generated data
(22 per cent), is rising in relevance.
According to IDC report author Tim Grieser, Splunks continued, rapid growth is based on core capabilities for big data capture, indexing, management, search and visualization that extend across a wide variety of machine-generated data
sources including metrics and logs.