Denodo DataFest 2016: Metadata and Data: Search and Exploration
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming Data
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Transcript of Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming Data
1 © Hortonworks Inc. 2011 – 2017. All Rights Reserved
Edge ComputingCollecting vs. Connecting to Streaming Data
Piet Loubser, VP Product and Solutions MarketingHortonworks
2 © Hortonworks Inc. 2011 – 2017. All Rights Reserved
The New Way of Business Is Fueled By Connected Data
• Connected Customers, Vehicles, Devices
• Socially crowd-sourced requirements
• Digital design and analysis
• Digital prototypes and
tests (simulations)
• Connected Factories, Sensors, Devices
• Human-robotic interaction
• 3D-printing on demand
• Connected Trucks, Inventory
• Location, traffic, weather-aware distribution
• Real-time inventory visibility
• Dynamic rerouting
• Connected Customers, Devices
• Omni- channel demand sensing
• Real-Time Recommendations
• Connected Assets• Remote service
monitoring & delivery• Predictive
maintenance• OTA Updates
DEVELOPMENT MANUFACTURING DISTRIBUTION MARKETING/SALES SERVICE
3 © Hortonworks Inc. 2011 – 2017. All Rights Reserved
Winning Hand: Master The Perfect Storm Of Tech And Consumer Trends
Artificial
Intelligence
Cloud
Computing
IoT & Stream
Processing
Search &
Recommendation
Frictionless
Services
Immersive
Ambient
© Hortonworks Inc. 2011 – 2016. All Rights Reserved
Exception-Based Monitoring
360 View of Operations, Equipment
Failure Analytics, etc.
Deep HistoricalAnalysis
D ATA C E N T E R
Stream Analytics
Cyber Security &
Threat Detection
Telemetry –Connected
Devices
MachineLearning
C L O U DSensors, SCADA, Control Systems
Edge Analytics
Time Series Historian
Modern Data Architecture
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Powering the Modern Data Architecture
DATA AT RESTDATA IN MOTION
ACTIONABLEINTELLIGENCE
COMPLETE DATA LIFECYCLE
MANAGEMENT
RUN CONTAINERIZED APPLICATIONSCONCURRENTLY
EDGECLOUD
H O L I S T I C M A N A G E M E N T, G O V E R N A N C E A N D S E C U R I T Y
ON-PREMISES
MULTI-WORKLOADS MULTI-TYPE MULTI-TIER
Holistic Data Access And Data Virtualization
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Hortonworks Connected Data Platforms Address the Data Tipping Point
Hortonworks Data Platform (HDP) powered by Apache Hadoop
MANAGE DATA LAKES FOR ALL TYPES OF DATACompatible with structured, semi-structured, un-structured data
Apache is a trademark of the Apache Software Foundation.
Hortonworks Data Flow (HDF) powered by Apache NiFi and MiNiFi
MANAGE IoT AND STREAMING DATA IN THE MOMENTCapture data-in-motion and perishable insights from connected devices
Hortonworks DataCloud, Microsoft Azure HDInsight
SUPPORT THE REQUIREMENTS OF CONNECTED DATA ARCHITECTURELeverage cloud and data-center for a complete solution
DATA IN MOTION
DATA AT REST
CLOUD AND DATA CENTER
7 © Hortonworks Inc. 2011 – 2017. All Rights Reserved
Hortonworks DataPlane Service a common set of services that
⬢ Supports enterprise deployment strategy and move to the cloud
⬢ Addresses compliance and regulatory requirements for enterprise
⬢ Eliminates policy silos and ensures security & governance moves with data
⬢ Simplifies data asset management and provides access for analysts and data scientists
⬢ Extensible to new services: Services enablement layer brings new offerings to market rapidly
The Next Chapter: Announcing Hortonworks DataPlane ServiceEnabling The Modern Data Architecture
HORTONWORKS DATAPLANE SERVICE
D A T A S O U R C E I N T E G R A T I O N
C O R E C A P A B I L I T I E S
…
CLOUD
ON PREM
H Y B R I DIOT
MULTIPLE CLUSTERS & SOURCES
D A T A S E R V I C E S C A T A L O G S E C U R I T Y C O N T R O L S
E X T E N S I B L E S E R V I C E S
DATA LIFECYCLE
DATA STEWARD
+OTHER(partner)
* not yet available, coming soon
Extensible Services
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Hortonworks Company Profile
IPO 4Q14 (NASDAQ: HDP)
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Thank you