Databases Reference
In-Depth Information
extract value from very large volumes of a wide variety of data, by enabling high-velocity
capture, discovery, and/or analysis.”
Big data technology and capability adoption across different enterprises is varied,
ranging from web 2.0 companies such as Google, LinkedIn, and Facebook (their business
being wholly dependent on these technologies) to Fortune 500 companies embarking on
pilot projects to evaluate how big data capability can co-exist with existing traditional data
management infrastructures. Many of the current success stories with big data have come
about with companies enabling analytic innovation and creating data services, embedding
a culture of innovation to create and propagate new database solutions, enhancing
existing solutions for data mining, implementing predictive analytics, and machine
learning techniques, complemented by the creation of new skills and roles such as data
scientists, big data architects, data visualization specialists, and data engineers leveraging
NoSQL products, among others. These enterprises' experiences in the big data landscape
are characterized by the following categories: innovation, acceleration, and collaboration.
Innovation
Innovation is characterized by the usage of commodity hardware and distributed
processing, scalability through cloud computing and virtualization, and the impetus
to deploy NoSQL technologies as an alternative to relational databases. Open-source
solution offerings from Apache such as the Hadoop ecosystem are getting into
mainstream data management, with solution offerings from established companies such
as IBM, Oracle, and EMC, as well as upcoming startups such as Cloudera, HortonWorks,
and MapR. The development of big data platforms is perhaps the logical evolution
of this trend, resulting in a comprehensive solution across the access, integration,
storage, processing, and computing layers. Enterprises will continue to establish big
data management capabilities to scale utilization of these innovative offerings, realizing
growth in a cost- effective manner.
Acceleration
Enterprises across all industry domains are beginning to embrace the potential of big data
impacting core business processes. Upstream oil and gas companies collect and process
sensor data to drive real-time production operations, maintenance, and reliability
programs. Electronic health records, home health monitoring, tele-health, and new
medical imaging devices are driving a data deluge in a connected health world. Emerging
location-based data, group purchasing, and online leads allow retailers to continuously
listen, engage, and act on customer intent across the purchasing cycle. Mobile usage data
for telecom service providers unlock new business models and revenue streams from
outdoor ad placements.
The imperative for these enterprises is to assess their current Enterprise Information
Management (EIM) capabilities, adopt and integrate big data initiatives and embark on
programs to enhance their business capabilities and increased competitiveness.
