Forrester Research: How to Scale BI & Analytics with Hadoop-based Platforms

Presented by

Boris Evelson | VP & Principal Analyst, Forrester; Priyank Patel | Co-Founder & CPO, Arcadia Data

About this talk

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? 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

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Arcadia Data builds the industry’s only Unified Visual Analytics and BI Platform for big data. We were founded with the singular mission to connect business users to Hadoop. The Arcadia Converged Analytics Platform™ unifies visual exploration and back-end data analytics in one integrated enterprise platform that runs natively on your Hadoop cluster. We converge the visual, analytics and data layers to provide accelerated access to all of the data stored within Hadoop, and support net-new analytics on granular datasets. Our world-class team from Aster Data, Teradata, 3PAR and IBM has a history of developing stellar products in the big data, analytics, and BI spaces. Arcadia Instant is a downloadable version of the visual analytics component of our product used by a growing user community. Arcadia Enterprise is our flagship product deployed by some of the world’s most data intensive companies such as P&G, HP, MarketShare and Appboy. We have multiple production customers within the Fortune 200, with two customers using our platform to analyze more than 100B rows stored in Hadoop.