Boris Evelson | VP & Principal Analyst, Forrester; Priyank Patel | Co-Founder & CPO, Arcadia Data
You’re using Apache Hadoop and cloud-based data platforms, but can your BI and analytics tools keep up? Can you provide fast, secure, self-service access to all the data business users want?
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Analyzing big data poses multiple challenges. Highly parallel distributed data architecture is one solution, but until recently it has been mostly limited to databases, not business intelligence (BI) application servers.
Join this informative webinar with guest speaker Boris Evelson, VP and principal analyst at Forrester Research, and Priyank Patel, co-founder and chief product officer at Arcadia Data. Enterprise architects, data scientists, and application development and delivery (AD&D) pros will learn::
- What is a distributed BI platform? How is it different from existing BI tools?
- How to scale BI and visual analytics for users without moving data
- What features matter most for distributed BI platforms for Hadoop
- How to unify security natively in Hadoop without more administration