data and analytics - revolution or evolution? · data and analytics - revolution or evolution?...
TRANSCRIPT
Jote Taddese IT Strategy Adviser at
Medtronic
Data and Analytics - Revolution or Evolution?
Marina KerbelEA Consultant at Medtronic
Principal at UpOnData
November 8, 2018
2
Unprecedented Pace of Changes
http://mattturck.com/bigdata2018/
Example - Big Data and AI Landscape from FirstMark
3
~1990s ~2010 ~2018 +
Accelerating Data Changes
EDW
Interconnected Intelligent Enterprise
Big Data
Advanced Analytics
~2015
Rate of
Changes
Key Changes
4
Sources Data Systems Consumers
Enterprise Relational Data
CRM
ERP
Enterprise Reporting
Applications
Batch
Batch
Integrated Enterprise Data
Key Skills: Data Analysis, SQL, Modeling, Database Administration, ETL Development, Reporting
~1990s - Data Warehouse
EDW
5
Sources Data Systems Consumers
Enterprise Relational Data
CRM
ERP
Enterprise Reporting
Applications
Batch
Replication
Unstructured, Logs, Social
Self-ServiceExploration, Visualization
Batch
On-premises, in cloud, hybrid
Consolidated Diverse Data
Key Skills: Data Analysis, SQL, Modeling, Database Administration, ETL Development, Reporting, Visualization, Distributed Data Administration, Object-Oriented Programming
EDW
Big Data StoreHadoop: MapReduce
& HDFS, NoSQL, in Memory
~2010 - Big Data
3rd Party Data
Analytics
6
~2015 - Advanced Analytics
Machine Learning, Predictive and Real-time Analytics, Automation
Key Skills: Data Analysis, SQL, Modeling, Database Administration, ETL Development, Reporting, Visualization, Distributed Data Administration, Object-Oriented Programming, A.I., Machine Learning, Deep Learning, Natural Language Processing, Automation.
Data Systems
EDW
Big Data Lake
Analytics Sandbox
Mach
ine
Learnin
g
Batch
Replication
ConsumersEnterprise Reporting
Batch
Ƒ ()
Self-ServiceExploration, Visualization
Predictive Modeling
StreamingReal-Time
Sources
Enterprise Relational Data
CRM
ERP
Unstructured, Social, Logs
3rd Party Data
Internet of Everything
Analytics
Applications
APIs
Automation
7
~2018+ - Interconnected Intelligent Enterprise
Distributed Interconnected Systems, Analytics Everywhere, Cloud
Data Systems Consumers
Enterprise Relational Data
CRM
ERP
Enterprise Reporting
Applications
Key Skills: Data Analysis, SQL, Modeling, Database Administration, ETL Development, Reporting, Visualization, Distributed Data Administration, Object-Oriented Programming, A.I., Machine Learning, Deep Learning, Natural Language Processing, Automation, Services, Cloud, Security
Batch
Replication
Unstructured, Social, Logs
3rd Party Data
Streaming
Batch
Data Fabric / Virtualization
EDW
Big Data Lake
Analytics Sandbox
Internet of Everything
On-premises, in cloud (public, private, hybrid)M
achin
e Learn
ing
APIs
Ƒ ()
Real-Time
Ƒ ()
Ƒ ()
Self-ServiceExploration, Visualization
Predictive Modeling
Ƒ ()
Analytics
Ƒ ()
Automation
Sources
Master Data Management