Welcome • Thank you: Francis - Silicon Valley Strategy, Innovation and Product Management group • Thank you: Michael & Sam and the Microsoft Store • Thank you: Aleks & David & SAP HANA • Thank you: All of You… You are the ‘Secret Sauce’
Big data connection overview by aibdp.org
Sep 12, 2014
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Transcript
Welcome
• Thank you: Francis - Silicon Valley Strategy, Innovation and Product Management group
• Thank you: Michael & Sam and the Microsoft Store
• Thank you: Aleks & David & SAP HANA• Thank you: All of You… You are the ‘Secret
Sauce’
Agenda
• Quick Poll• Overview – AIBDP / Big Data Connection• Prasad Mavuduri – Board Member, AIBDP –
“Demystifying Big Data”• David Sonnenschein – Vice President & Aleks
Swerdlow Community Manager – SAP Labs - HANA In-Memory – Start-ups Success Stories”
• Networking & Q&A
Quick Poll
• Relationship & Experience w/ Big Data• Job Role• Industry• Company Years - Start-up? • Big Data Implementation Status• Biggest Challenges / Opportunities• Vs Cometitors?
Overview - Big Data Connections Mission: Demystify Big Data– Five E’s – entertain, engage, educate etc– Focus on Solutions (vs technology)– Focus on Specific Verticals • ex Healthcare, Risk, eCom/eMarketing,
Manufacturing, Logistics, Telecom…)– Best Practices Case Study Reviews – Networking & Shared Learning
– Sponsored by the American Institute of Big Data Professionals (AIBDP.org)
– Sponsored by Big Data consulting firm, Data-Magnum
BI Platform / Reporting
OSS
Visualizations
Unstructured / Search
Indexing / MetadataSearch
NLP
Hadoop Analytics
Hadoop Dev Platforms / Automation
HDFS
Predictive Analytics
THE CONFUSING WORLD OF BIG DATAAP
PLIC
ATIO
NS
TOO
LSDA
TA M
ANAG
EMEN
T
STRUCTURED UNSTRUCTURED
Transactional DB
OSS
High Performance Analytical DB
NewSQL
Enhancement
Distributed
NoSQL
Graph DocumentKey Value /
Column
Enterprise Apps
Internet Apps
Social Media Web Content Mobile Devices Camera / DVR Sensors / RFID Logfiles
Hadoop aaS
HDFS Alternatives
DBaa
S
HANAGraphDB
Filesystem
EMR
Text / Sentiment Analysis
Data as a Service
Data Warehouses
vFabric L
Drill
Vertical Market Applications
Impala
Messaging Optimization Data Integration / CEPOSS
IMDG
Redshift
Based on Source: Perella Weinberg Partners
AI
Source:
Source: CapGemini: http://www.capgemini.com/sites/default/files/technology-blog/files/2012/09/big-data-vendors.jpg
Big Data Landscape
http://www.bigdatalandscape.com/
Source: http://www.forbes.com/special-report/2013/industry-atlas.html
Business Intelligence Analytics / Visualization
Big Data BI & Analytics/Visualization Landscape
Oracle Essbase Laurén
Predictive Analytics Leaders
Source: http://wikibon.org/wiki/v/Big_Data:_Hadoop,_Business_Analytics_and_Beyond
AH.. Simplicity… This looks pretty straight-forward… I can handle this..
Our Landscape Collection as published on Startup50.com
Simplified (so far)
Data Input - Sources, Databases, & Integration Tools
Platform / Infrastructure - Data Preparation, map reduce, filing, governance…
Data Presentation & Analysis – BI, Data Discovery, Visualization
Predictive Analytics & Machine Learning Vertical & Horizontal Products (Specialized
Applications)
It can be made more complicated…o Hadoopo NoSQLo NewSQLo Structured Databaseso NGDW (next generation data warehouse)o Cloud Serviceso Technical Serviceso Professional Serviceso Distributorso Deployment serviceso Deployment stack/applianceso Development serviceso Application stackso Database stackso Managed Monitoringo Storageo Security
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