Wednesday, February 25, 2015 |
News Highlights
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Philip Russom
The answer is: It depends. ETL and ELT
jobs vary a lot. Hadoop is suitable for some but not others.
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Stephen Swoyer
Looker claims that its take on BI self-
service permits business analysts or other savvy user types to build
their own dashboard or analytic views -- along with views for other,
less-savvy business users. With Looker, one official tells BI
This Week, "You're no longer managing [both] a data
infrastructure in a BI layer and a data infrastructure that powers
the BI layer."
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Simon Moss
This alternative strategy to
"centralize everything" recognizes the sheer physics problem of
moving, storing, and processing huge volumes of data as well as the
time, cost, and risk of attempting to do so.
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Linda Briggs
Businesses now emphasize speed over
traditional BI's predefined reports and queries. In this second of a
two-part interview, well-known BI author and consultant Dr. Barry
Devlin explains further details of his "Adaptive Decision Cycle"
process and how it can be used to join disparate decision-making
segments of the business to accelerate data and decisions.
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TDWI Webinar Series:
Speaker:
Colin White
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Colin will discuss new approaches to data
warehousing and offers practical advice that can help organizations
build a flexible, fluid data layer. In addition, he'll examine the
changing nature of the data warehouse, how to ensure access, scale,
and security; the critical factors for project success; and on-
premises, cloud, or hybrid: what makes sense when? |
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Upcoming Webinars of Interest
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TDWI's Fern Halper will discuss new
approaches to analyzing data at scale and will offer practical
advice about getting started. You'll learn why analytics at scale
is important and how it's different from traditional analytics, hear
use cases for analytics at scale, and understand how to get started.
Speaker:
Fern Halper
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Register
Now
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Learn how the evolving sophistication of
BI consumers and the emerging needs of data analysts are driving
enterprises to broaden access to raw data for interactive discovery.
We'll explore how users can take advantage of simulations, what-if
analysis, predictive, and prescriptive analysis of ERP data and
explore alternatives for emerging BI environments.
Speaker:
David Loshin
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Register
Now
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Events Calendar
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