(Shankar Kuchibhotla and Bharath Devaraju) As new kinds of devices connect to the internet, they generate petabytes of data every day. Companies analyze this valuable data to better understand and meet their customers’ needs. Streaming big data analytics gives users the ability to analyze data in re
Tag: IBM
IDUG EMEA 2015 Day 1
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IBM Enterprise Content Management Mobile Application Implementation
(Servando Varela, Brian Benoit, Matt Brooke-Smith, Ben Davies and Robert Nonnenkamp) IBM Enterprise Content Management (ECM) software enables the world’s top companies to make better decisions, faster. By controlling content, companies can use industry-specific solutions to capture, manage, and shar
Managing Big Data DBAs — The DB Support Team
(Lockwood Lyon) Technical support teams usually support familiar hardware and software configurations. Specialization in particular combinations of operating systems and database management software is common, and this allows some team members to gain in-depth experience that is extremely valuable i
A Faster Way of Joining When Applying a Distinct
(Ember Crooks) I have been paying a bit of attention to cross-platform SQL optimization lately, and read this interesting post:
Family Edition is a new and more flexible license
(Roman Kharkovski) IBM just announced a new part number and a product bundle called WebSphere Application Server Family Edition (read full announcement letter here).
Integrating Big Data Applications into Operational Environments
(Lockwood Lyon) In today’s IT world big data applications are common. We have evolved some standard responses to the needs for these applications. One common reaction is that big data requires a “scaling up”: more CPUs, more memory, more resources. Another theme is the availability of special-purpos
The Dangers of Moving DB2 Data Off of z Systems
(Troy L Coleman) In last week’s post about the DB2 12 for z/OS ESP, I explained how customers can benefit by keeping data in DB2 for z/OS while the IBM DB2 Analytics Accelerator provides ETL support and analytic processing. David Beulke and Brian Smith and Bob Potter expound on this topic in two int
5 steps for real-time data replication with IBM i remote journaling
(Yan Liu, Su Qian Liu and Alok Singh Kataria) Enterprises need real-time, trusted data to make decisions and stay competitive. Data loss is unacceptable, but the process to collect and synchronize data must have little to no effect on production environments. This article shows you how to use a remo
The DBA’s Big Data Holiday Wish List #6: Disaster Recovery
(Lockwood Lyon) Most organizations consider analytical data and queries to be low priority during a disaster. Clearly, they reason, customer-facing systems, accounting systems, order entry applications, shipping and receiving, and so forth need priority. While big data analytics is nice to have, i