Gianluigi Vigano, Senior Architect and Fouad Teban, Regional Presales Manager at HPE, presented "Using advanced analytics functions of HPE Vertica for the following use cases: IoT, clickstream, machine data, integration with Hadoop & Kafka …" as part of the Big Data, Budapest v 3.0 meetup organised on the 19th of May 2016 at Skyscanner's headquarters.

1. Machine learning
Big Data, Budapest V3.0
Gianluigi Vigano’
Fouad Teban
Budapest, HU
19th of May 2016

2. Use cases for Machine learning
– IoT
– Clickstream
– Predictive maintenance
– Data normalization
– Demand forecasting
– Cyber security
– Scoring
– Churn Analytics
– Social graph analysis
– Tickstore data cleanups
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3. Motivations of Machine Learning inside RDBMS
Minimize the data movement
• No need to move the data out of the RDMS to other systems to train a model
• Run predictions in RDBMS, where the data is
A single system for SQL analytics and machine learning
A familiar interface for existing RDBMS users to do machine learning
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19. Machine learning with HPE Vertica
Big Data, Budapest V3.0
Gianluigi Vigano’
Fouad Teban
Budapest, HU
19th of May 2016

20. HPE Vertica: No limits, no compromises.
Supports all preferred tools
Open architecture
50x-1,000x faster
Blazing fast analytics
Unlimited low-cost nodes
Massive scalability
10x-30x more data per server
Optimized data storage
Private Cloud Public Cloud ApplianceSoftware Only
Purpose built for Big Data - from the very first line of code
Flexible deployment

21. Vertica high performance
advanced analytics
 Real-time performance at Scale
 On Premise, Cloud and On
Demand
 Native optimized SQL on
Hadoop
IDOL augmented
intelligence for human
information
 Advanced enterprise search
and rich media analytics
 Analyze text, audio, image
and streaming video
Haven OnDemand APIs
and Services
 Machine Learning as a
Service
 Delivered on Microsoft Azure
Cloud
 Accessible to any developer
HPE IDOL