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A skills-driven uprising
The Big Data Revolution
@robdthomas
Data is the new
basis of
competitive
advantage
Attributes of Leaders
in the Data Era
Disrupting Retail
Profiles  Attributes
Explicit data
500 million individual data points
No two fixes the same
Stores feed real-time behavior to design
Concept-to-shelf: 12 months to 2 weeks
Scarcity as the business model
Unsold inventory <10% (20% is standard)
“What customers buy
and why, and what
they don’t buy and why
not, is very powerful.”
Disrupting Agriculture
New Data New Applications
+
= Exponential improvements
Disrupting Medicine
Cellscope Quanttus
Millions of data points,
in real time
HealthTap
Eliminates bias/opinion Self-service/
Social
The skills of physicians will evolve in the data era
Patterns in Big Data
Attributes of Leaders
in the Data Era
Data demands a new IT workforce
-Understanding the skill sets needed today
and tomorrow
-Redefining roles and skill sets to take
advantage of new data available
-Training and retraining employees is a
distinguishing capability to remain relevant
Key Patterns
www.BigDataUniversity.com
Analytics Operating System
History of the Telephone
Began point-to-point
Provided an apparatus
for transmission
The telephone exchange switchboard
provided a consistent structure and
unified points of access.
Spark unifies data, enabling real-time insights
IT Today IT on Spark
complex | disparate | limited flexible | unified | unlimited
Spark processes and analyzes data from ANY data source
Business Applications and Business Intelligence
Apache Spark
Spark
SQL
Spark
Streaming
MLlib
(machine
learning)
GraphX
Hadoop Database Mainframe
Data-
warehouse
The Big Data Maturity Curve
Big Data Maturity
Value Operations Data
Warehousing
Line of Business
and Analytics
New Business
Imperatives
We are here
Lower the Cost
of Storage
Warehouse
Modernization
• Data lake
• Data offload
• ETL offload
• Queryable archive
and staging
Data-informed
Decision Making
• Full dataset
analysis (no more
sampling)
• Extract value from
non-relational data
• 360 view of all
enterprise data
• Exploratory analysis
and discovery
Business
Transformation
• Create new
business models
• Risk-aware
decision making
• Fight fraud and
counter threats
• Optimize
operations
• Attract, grow,
retain customers
www.robdthomas.com
www.spark.tc

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Big Data Revolution - Copec Big Data Event

  • 1. A skills-driven uprising The Big Data Revolution @robdthomas
  • 2. Data is the new basis of competitive advantage
  • 4.
  • 5.
  • 6.
  • 7. Disrupting Retail Profiles  Attributes Explicit data 500 million individual data points No two fixes the same Stores feed real-time behavior to design Concept-to-shelf: 12 months to 2 weeks Scarcity as the business model Unsold inventory <10% (20% is standard) “What customers buy and why, and what they don’t buy and why not, is very powerful.”
  • 8. Disrupting Agriculture New Data New Applications + = Exponential improvements
  • 9. Disrupting Medicine Cellscope Quanttus Millions of data points, in real time HealthTap Eliminates bias/opinion Self-service/ Social The skills of physicians will evolve in the data era
  • 11. Attributes of Leaders in the Data Era
  • 12. Data demands a new IT workforce
  • 13.
  • 14. -Understanding the skill sets needed today and tomorrow -Redefining roles and skill sets to take advantage of new data available -Training and retraining employees is a distinguishing capability to remain relevant Key Patterns
  • 17. History of the Telephone Began point-to-point Provided an apparatus for transmission The telephone exchange switchboard provided a consistent structure and unified points of access.
  • 18. Spark unifies data, enabling real-time insights IT Today IT on Spark complex | disparate | limited flexible | unified | unlimited
  • 19. Spark processes and analyzes data from ANY data source Business Applications and Business Intelligence Apache Spark Spark SQL Spark Streaming MLlib (machine learning) GraphX Hadoop Database Mainframe Data- warehouse
  • 20. The Big Data Maturity Curve Big Data Maturity Value Operations Data Warehousing Line of Business and Analytics New Business Imperatives We are here Lower the Cost of Storage Warehouse Modernization • Data lake • Data offload • ETL offload • Queryable archive and staging Data-informed Decision Making • Full dataset analysis (no more sampling) • Extract value from non-relational data • 360 view of all enterprise data • Exploratory analysis and discovery Business Transformation • Create new business models • Risk-aware decision making • Fight fraud and counter threats • Optimize operations • Attract, grow, retain customers