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Requirements to Become a
Data-Driven Enterprise
Wolfgang Disselhoff
Manager Field Engineering
Pivotal
Every Business is Becoming a Digital Business
Digital Transformation Imperatives
Becoming a Data-Driven Company Is Hard
Legacy data infrastructure
can’t scale or cope
Point technology vendors
provide partial solutions
Do-it-yourself
open source requires
special talent
Move from Inflexible Infrastructure to Agile
Data Architecture
Based on scaled-
up, proprietary
systems
Siloed and
scattered
data sets
Storage limited with
rigid data models
Elastic, Scale-out
storage and
processing
Handle any data
type or source
Cloud friendly and
open-source based
The Data Driven Enterprise Journey
STORE
•  Structured
•  Unstructured
•  High Volume
•  High Velocity
ANALYZE
•  Predictive Analytics
•  Machine Learning
•  Advance Data Science
•  Realtime Analytics
DEVELOP
•  Advanced Analytic Pipelines
•  Realtime Analytical Applications
•  Global Scale Data-Driven
Applications
•  Enterprise, Consumer, IoT, and
Mobile
INNOVATE
•  Agile Dev Expertise
•  DevOps
•  Hybrid Cloud
•  Continuous Delivery
•  Closed Loop Applications
AGILE DEVELOPMENT
BIG DATA
PREDICTIVE ANALYTICS
ENTERPRISE PAAS
Data Driven Journey with Pivotal Big Data Suite
STORE
•  Structured
•  Unstructured
•  High Volume
•  High Velocity
ANALYZE
•  Predictive Analytics
•  Machine Learning
•  Advance Data Science
•  Realtime Analytics
DEVELOP
•  Advanced Analytic Pipelines
•  Realtime Analytical Applications
•  Global Scale Data-Driven
Applications
•  Enterprise, Consumer, IoT, and
Mobile
INNOVATE
•  Agile Dev Expertise
•  DevOps
•  Hybrid Cloud
•  Continuous Delivery
•  Closed Loop Applications
AGILE DEVELOPMENT
BIG DATA
PREDICTIVE ANALYTICS
ENTERPRISE PAAS
Spring XD
Spark
Pivotal HD &
Open Data Platform
Spring XD
Pivotal Greenplum
Database
Pivotal HAWQ
Spring XD
Pivotal GemFire
Redis
Rabbit MQ
Spring IO
Groovy
Pivotal BDS on PCF
Pivotal Cloud Foundry
Pivotal LabsData ScienceData Engineering
Digital Transformation Forum
Disrupt or Be Disrupted
19 OCTOBER · BMW WELT EVENT CENTRE · MUNICH

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Pivotal Digital Transformation Forum: Requirements to Become a Data-Driven Enterprise

  • 1. Requirements to Become a Data-Driven Enterprise Wolfgang Disselhoff Manager Field Engineering Pivotal
  • 2. Every Business is Becoming a Digital Business
  • 4. Becoming a Data-Driven Company Is Hard Legacy data infrastructure can’t scale or cope Point technology vendors provide partial solutions Do-it-yourself open source requires special talent
  • 5. Move from Inflexible Infrastructure to Agile Data Architecture Based on scaled- up, proprietary systems Siloed and scattered data sets Storage limited with rigid data models Elastic, Scale-out storage and processing Handle any data type or source Cloud friendly and open-source based
  • 6. The Data Driven Enterprise Journey STORE •  Structured •  Unstructured •  High Volume •  High Velocity ANALYZE •  Predictive Analytics •  Machine Learning •  Advance Data Science •  Realtime Analytics DEVELOP •  Advanced Analytic Pipelines •  Realtime Analytical Applications •  Global Scale Data-Driven Applications •  Enterprise, Consumer, IoT, and Mobile INNOVATE •  Agile Dev Expertise •  DevOps •  Hybrid Cloud •  Continuous Delivery •  Closed Loop Applications AGILE DEVELOPMENT BIG DATA PREDICTIVE ANALYTICS ENTERPRISE PAAS
  • 7. Data Driven Journey with Pivotal Big Data Suite STORE •  Structured •  Unstructured •  High Volume •  High Velocity ANALYZE •  Predictive Analytics •  Machine Learning •  Advance Data Science •  Realtime Analytics DEVELOP •  Advanced Analytic Pipelines •  Realtime Analytical Applications •  Global Scale Data-Driven Applications •  Enterprise, Consumer, IoT, and Mobile INNOVATE •  Agile Dev Expertise •  DevOps •  Hybrid Cloud •  Continuous Delivery •  Closed Loop Applications AGILE DEVELOPMENT BIG DATA PREDICTIVE ANALYTICS ENTERPRISE PAAS Spring XD Spark Pivotal HD & Open Data Platform Spring XD Pivotal Greenplum Database Pivotal HAWQ Spring XD Pivotal GemFire Redis Rabbit MQ Spring IO Groovy Pivotal BDS on PCF Pivotal Cloud Foundry Pivotal LabsData ScienceData Engineering
  • 8. Digital Transformation Forum Disrupt or Be Disrupted 19 OCTOBER · BMW WELT EVENT CENTRE · MUNICH