3. Agenda
• Platfora Overview
• Challenge of Existing BI&A Offerings on Hadoop
• Platfora Solution
• Demo
• Case Study
• Q&A
4. Platfora Company Overview
Key Facts
• Founded June 2011
• Based in San Mateo, CA
• Raised a total of $27.2m led by top Silicon
Valley investors; Series B in Oct 2012
• Assembled world-class engineering and
design team
• GA in version 2.0 released Mar 2013
following 6-month beta
Remarkable technical team from:
Version 2.0
5. First Step of Doing BI&A on Hadoop
Complex Limited
IT Staff Analysts
SQL-LIKE INTERFACE
BI APPLICATIONS
(I.e. Tableau,
Microstrategy, etc.)
6. Current „Best Practice‟ for BI on Hadoop
Complex Limited
IT Staff Analysts
DATA WAREHOUSE
BI APPLICATIONS
(I.e. Tableau,
Microstrategy, etc.)
7. Platfora Solution: „Software Defined‟ Data Marts
Automatic /
Iterative
Fast
/Unbounded
FLEXIBLE
“SOFTWARE DEFINED”
IT Staff Analysts
8. Platfora‟s Integrated Platform
Web-based Business
Intelligence Application
Scale-out, In-Memory
Data Mart & Processing Engine
Automated Hadoop
Data Refinery
+
+
Powerful Closed-Loop Analysis of Big Data
Vizboard
Lens
Dataset
10. 10
Edmunds.com
• Beta participant since January 2013
• Moved to Hadoop because of explosive data
growth and promise of agility
• Web, mobile, visitor demographic data
• Use Case: optimize the matching of visitors with
the cars they are looking for
• Correlating browsers with the cars they are actually
buying
• Platfora has made big data accessible to the
business
• Increased access from 5 to 50 users
• Decreased time to value from months to hours
Founded in 1966:
”For the purpose of publishing
new and used automotive pricing
guides to assist automobile
buyers”
Online Innovators:
• First auto information
website
• True Market Value®, True
Cost to Own®, and My Car
Match “Before, if we wanted access to Hadoop data, we wouldn’t
even try.
11. Cutting-edge HTML5-based
BI Framework using Canvas
Scale-Out In-Memory Lens
Engine (w/ Fractal Cache™)
Adaptive Job Synthesis™
Platfora Innovations
Interest Driven Pipeline™
1st analytics app utilizing closed-
loop, iterative approach driven by users:
Interest Driven Pipeline™ Patent Awarded
1st web-based BI tool to use
HTML5/Canvas objects supporting 100k+
marks
1st scale-out, in-memory data processing
engine to progressively refine details: Fractal
Cache™
1st system to automatically generate
MapReduce jobs to populate an in-memory
data store
12. Platfora: Interest-Driven PipelineTM
Automatic /
Iterative
Fast
/Unbounded
FLEXIBLE
“SOFTWARE DEFINED”
DATA MARTS
Performance, Self-Service, and Security
Hadoop Data
Reservoir
Web-based
Business Intelligence
13. Installing and Using Platfora
• Platfora software runs on physical or virtual
servers – on-premise or in the cloud
• Data administration access required to connect
data sources and add data sets
• Lens builds typically handled by IT administrator
• VizboardsTM for BI&A supported in web browser
(Chrome preferred)
Notes de l'éditeur
Introduction to me.What I do.
IT Challenges:DW contains fraction of the data in HadoopNeeds to constantly be maintained by IT staff by writing MapReduce & Hive scriptsIT can’t meet the demands of the business – not getting value out of the Hadoop projects they championedBusiness User ChallengesCan only work with data in the DW, cannot access all the data in HadoopReliant on submitting tickets to IT to update the data in the DW
IT Challenges:DW contains fraction of the data in HadoopNeeds to constantly be maintained by IT staff by writing MapReduce & Hive scriptsIT can’t meet the demands of the business – not getting value out of the Hadoop projects they championedBusiness User ChallengesCan only work with data in the DW, cannot access all the data in HadoopReliant on submitting tickets to IT to update the data in the DW
Platfora’s Solution:Dispenses with hand-built data warehouses and ETL altogetherTransformed into interactive 'software defined' data marts – aggregate tables automatically built from underlying data stored in HadoopBenefitsSelf-service creation and access by business users and automaticallymaintained as new data arrives, refined as questions change, and disposed of when no longer neededFrees IT from maintaining complicated ETL process and DWAllows broader access to data in Hadoop across the business
Platfora is made of three components – and none of these are more important than another – they all work together seamlessly.Platfora puts a very pretty face on Hadoop. Stunningly beautiful web-based BI interface. MAKES HADOOP DATA BEAUTIFUL.A scale-out in-memory data processing engine. MAKES HADOOP DATA FAST.Platfora drives Hadoop like a work engine. Automatically generating pushing jobs to Hadoop to do the heavy lifting without needing experts. MAKES HADOOP USABLE.These components work together. Based on what the user needs in the BI layer, the Lenses are automatically refined, the Hadoop data refinery does the heavy lifting without needing programming.
The Riot Manifesto:Player Experience FirstChallenge Convention
Platfora’s solution enables the interest-driven pipeline.Platfora software instantly transforms raw data in Hadoop into interactive, in-memory business intelligence. No ETL or data warehouse required.Platfora is a full stack of technology that spans from raw data the Hadoop Data Reservoir all the way to BI and analytics for the end user.In the past this would require at least three separate products.Platfora is the first product to completely rebuild the traditional business analytics stack from the ground up.
