FEATURE: TERADATA
“Many organizations find that
implementing big data solutions
on the Hadoop stack is a complex
endeavour. Big data technologies
are heavily oriented to software
engineering, developers and system
administrators,” said Nik Rouda, senior
analyst with Enterprise Strategy
Group (ESG). “Our research found 28
percent of organizations still struggle
to staff teams with enough BI and
analytics talent, much less big data
and open source solution expertise.
77 percent of those surveyed say
new big data initiatives will take
between seven months and three
years to show significant business
value. It doesn’t have to be that way. I
commend Teradata for open sourcing
Kylo – an innovative and meaningful
contribution.”
Encapsulating extensive experience
from over 150 data lake engagements,
Kylo helps organizations address the
most common challenges they face
in data lake implementation efforts,
including:
- Skill shortage for experienced software
engineers and administrators.
- Learning and implementing best
practices around data lake governance.
- Driving data lake adoption beyond
engineers.
When these challenges are overcome,
high impact business outcomes are
realized. In fact, Teradata has already
helped many organizations save money
and create new revenue streams from
data lakes:
- A semiconductor manufacturer
increased the yield quality of wafers;
reducing waste, saving time, boosting
output and thus increasing value to the
business.
- An industrial equipment manufacturer
enabled new service models, service-
level agreements, intervention
processes, and, notably, new revenue
streams.
- A world-renowned research hospital
reduced patient prep times, allowing
doctors to treat more patients. ¢
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