
Virtualization and Cloud executives share their predictions for 2015. Read them in this VMblog.com series exclusive.
Contributed article by Patrick McFadin, chief evangelist for Apache Cassandra at DataStax
2015: More companies break away from the pack with real-time data analytics
Real-time data analytics is inspiring
innovation beyond advertising and marketing. More companies are breaking away
from the pack and differentiating themselves by the powerful things they're
doing with the data, such as creating truly captivating content
and entertainment, and discovering and treating fast-progressing killer
diseases. Here's what lies ahead for 2015, as real-time data analytics gains
traction in the enterprise:
-
Machine
learning will proliferate. Personalization has already become more of a
requirement for businesses, but we will see more projects and vendors making
this turnkey for enterprises. It's necessary to stay minimally competitive in
today's market.
-
Internet of
Things and mobile will lead to a storm surge of data, leading companies to
demand greater speed, scale and performance. As a result, we'll see the
proliferation of Docker as it changes how infrastructure is deployed, and Spark
will be the de-facto way of analyzing large-scale data.
-
The
complexity barrier to real-time analytics will drop. We will see
enterprise-level organizations using real-time analytics, previously reserved
for just a few. Vendors will continue to create ready-to-use products that once
required a custom engineering effort. Organizations looking to buy vs. build
will take advantage of these solutions to bring new features online faster.
-
Multi-vendor
cloud deployments become commonplace. By decoupling data it drives down costs.
Amazon is the biggest cloud vendor, but rivals such as Google Compute and
Microsoft Azure are quickly catching up and creating pricing pressure. By
staying away from vendor-specific offerings, organizations will increasingly
deploy in multiple clouds based on cost, and save money.
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Patrick McFadin is chief evangelist for Apache Cassandra at
DataStax.