Wednesday, September 12, 2012 |
News Highlights
|
|
|
Philip Russom
As real-time operation becomes a more
prominent business requirement, don't forget data replication.
|
|
|
|
Stephen Swoyer
A new survey from open source business
intelligence (BI) specialist JasperSoft sheds light on how and why
adopters are using big data, but the survey actually raises many
intriguing questions.
|
|
|
|
Stephen Swoyer
Talend's commitment to Hadoop and
MapReduce includes tapping the technologies to parallelize ETL jobs.
Talend's Open Studio design tool addresses the Achilles' Heel of
Hadoop: its lack of usable, intelligible, data management-oriented
programming or management tools.
|
|
|
|
Take BI Scorecard's 2012 "Successful
BI" survey to get recommendations to improve your BI impact,
benchmark your adoption, and tell us which BI modules are most
important. Participants will receive a free copy of summary findings
and have a chance to win $100. Survey closes this week.
|
|
|
|
Linda Briggs
Big data introduces uncertainty and
changing business requirements, but having the right processes in
place to guide engagements can help smooth the way to success.
|
|
| |
|
TDWI Webinar Series:
Speaker:
Philip Russom
|
|
|
|
When a new technology or platform enters
IT, we often see it applied first with operational applications and
their servers. Then BI platforms and data warehouses adopt the new
technology, followed by data management tools. We've seen this with
various technologies, including Java and services. We're now seeing
the same sequence with clouds (whether public, private, or hybrid).
|
|
Upcoming Webinars of Interest
|
Self-service BI is becoming increasingly
popular as business users demand more control over their analytical
assets and IT continues to be strapped by budget and resource
constraints. Many information workers now expect to be able to
interact with information and create their own views to address
pressing business issues.
Speaker:
Claudia Imhoff
|
Register
Now
|
|
|
TDWI sees user organizations continuing
their long-running success with various designs and architectures
for data warehouses. However, recent business and technology
requirements demand support for numerous workloads for advanced
analytics and big data, workloads that many data warehouses were not
designed for by their users (due to an organizational focus on
requirements for reporting and OLAP).
Speaker:
Philip Russom
|
Register
Now
|
|
|
|
|
|
Events Calendar
|
|
|
|
|
|
Forward to a Friend