ASUG/SAP SERIES – Big Data/Hadoop/HANA Why Big Data ? Why it can fit into your Business and Technology Roadmap What it can do to Enable your Business! John Choate – PMMS SIG Chair Bill Klinke – PMMS Program Chair David Burdett – Strategic Technology Advisor, SAP
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ASUG/SAP SERIES – Big Data/Hadoop/HANA
Why Big Data ? Why it can fit into your Business and Technology Roadmap
What it can do to Enable your Business!
John Choate – PMMS SIG Chair Bill Klinke – PMMS Program Chair
David Burdett – Strategic Technology Advisor, SAP
The New and Ever Changing Landscape
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Open Source Big Data – CONFUSED????
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The 5 Part Series
Webinar 1: Why Big Data matters, how it can fit into your Business and
Technology Roadmap, and how it can enable your business!
Webinar 2: How Big Data technologies provide Solutions for Big Data
problems
Webinar 3: Using Hadoop in an SAP Landscape with HANA
Webinar 4: Leveraging Hadoop with SAP HANA smart data access
Webinar 5: Using SAP Data Services with Hadoop and SAP HANA
Resources … Webinar Registration
1. Go to www.saphana.com
2. Search “ASUG Big Data Webinar”
3. Registration links in blog …
Big Data, Hadoop and Hana – How they Integrate and How they Enable your Business!
Info on SAP and Big Data – go to www.sapbigdata.com
• “Big data” is high-volume, -velocity and -variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making
Gartner
Three Key Parts
• Part One: 3V’s – Volume, Velocity, Variety
• Part Two: Cost-Effective, Innovative Forms of Information Processing
• Part Three: Enhanced insight for “Real Time” decision making
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The 7 Key Drivers Behind the Big Data Movement? *
Business
1. Opportunity to enable innovative new business models
2. Potential for new insights that drive competitive advantage
Technical
1. Data collected and stored continues to grow exponentially
2. Data is increasingly everywhere and in many formats
3. Traditional solutions are failing under new requirements
Financial
1. Cost of data systems, as a percentage of IT spend, continues to grow
2. Cost advantages of commodity hardware & open source software
1. Which investments will deliver most business value and ROI? 2. Governance – New expectations for data quality and management 3. Talent – How will you assemble the right teams and align skills?
Data Analytics
1. Data Capture & Retention – What data should be kept and why 2. Behavioral Analytics – Understanding and leveraging customer behavior 3. Predictive Analytics – Using new data types (sentiment, clickstream,
video, image and text) to predict future events
Enterprise Information Management
1. User expectations – Making “Big Data” accessible for the end user in “real-time”
2. Costs – How to provide access to big data in a rapid and cost-effective way to support better decision-making?
3. Tools – Have you identified the processes, tools and technologies you need to support big data in your enterprise?
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BIG DATA DEFINED
UNDERSTANDING BIG DATA
BIG DATA JARGON
How did we get here?
1990 2015 2000 2005 2010
DATABASE
(CIRCA 1980)
ANALYTICS
(CIRCA 1980)
PREDICTIVE ANALYTICS
(CIRCA 1980) SEMANTIC ANALYTICS
(CIRCA 1980)
REAL TIME
1,000,000+ SOLD
WWW
3,000,000 people had access to internet
worldwide
B2B / B2C MOBILE
More people have mobile phones than electricity or safe
drinking water
Facebook: 1 billion users; 600 mobile users; more than 42 million pages and 9 million apps
Youtube: 4 billion views per day Google+: 400 million registered users
Skype: 250 million monthly connected users
SOCIAL
BIG DATA
PERSONAL COMPUTER AND CLIENT SERVER
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2013
How big is Big Data?
1.8
IN 2011, THE AMOUNT OF DATA SURPASSED
ZETTABYTES
90% OF THE DATA IN THE WORLD TODAY has been created in the last two years alone!
Today we measure available data in
zettabytes (1 trillion gigabytes)
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Eight 32GB iPads per person alive in the world
Social Media Growth 2013*
Mobile phones increased 60.3% to 818.4m in last two years
Facebook has 665m daily active users
Twitter has 228m monthly active users – 44% growth
YouTube hours watched – doubled to 6B hours watched