The document outlines advanced analytics and machine learning techniques using tools such as R, Spark, H2O, and TensorFlow for real-time data processing. It highlights the importance of building and applying analytic models in various stages, from data access and preparation to model execution and deployment, with applications in fields like predictive maintenance and customer churn. Key takeaways emphasize that valuable insights are found through machine learning models applied to big data, driving real-time decision-making.

1. Kai Wähner
Technology Evangelist
kontakt@kai-waehner.de
LinkedIn
@KaiWaehner
www.kai-waehner.de
jDays - Gothenburg, Sweden (March 2017)
Advanced Analytics and Machine Learning
with R, Spark, H2O and TensorFlow for Real Time Processing

2. © Copyright 2000-2017 TIBCO Software Inc.
Apply Big Data Analytics to Real Time Processing

3. © Copyright 2000-2017 TIBCO Software Inc.
Agenda
1) Machine Learning and Big Data Analytics
2) Building an Analytic Model
3) Applying an Analytic Model in Real Time

4. © Copyright 2000-2017 TIBCO Software Inc.
Agenda
1) Machine Learning and Big Data Analytics
2) Building an Analytic Model
3) Applying an Analytic Model in Real Time

5. Machine Learning
…. allows computers to find hidden insights without being
explicitly programmed where to look.

6. Real World Examples of Machine Learning
Spam Detection
Search Results +
Product Recommendation
Picture Detection
(Friends, Locations, Products)
Machine Learning is already present in daily life…
Now, every enterprise is beginning to leverage it!
The Next Disruption:
Google Beats Go Champion

7. © Copyright 2000-2017 TIBCO Software Inc.
From Insight to Action - Closed Loop for Big Data Analytics
Insight ActionEVENTSEVENTS

8. © Copyright 2000-2017 TIBCO Software Inc.
Agenda
1) Machine Learning and Big Data Analytics
2) Building an Analytic Model
3) Applying an Analytic Model in Real Time

9. © Copyright 2000-2017 TIBCO Software Inc.
Analytical Pipeline
1. Data Access
2. Data Preparation
3. Exploratory Data Analysis
4. Model Building
5. Model Validation
6. Model Execution
7. Deployment

10. © Copyright 2000-2017 TIBCO Software Inc.
Variety of Data in Enterprises
Custom GUI-driven
data access via SDK
Siebel
eBusiness
Local data sources
AccessExcel STDF
Drag-and-drop
MySQL
SQL Server
Oracle
Information Services
(join, transform, reusable,
parameterized, dynamic query
for in-memory use)
Databases
JDBC/ODBC
Hadoop
SFDC
PostgreSQL
Teradata
Netezza
Etc.XML
RDBMS
Flat
Files
Spread-
sheets
Web
Services
Oracle
E-Business
RDBMS
RDBMS
RDBMS
SAP BWSAP R/3 D
A
T
A
F
A
B
R
I
C
Salesforce
ODBC
OLE DB
SqlClient
Direct
connection
Oracle
TeradataAsterMS SSAS
Teradata
Direct Query
(dynamically query and retrieve data for
visualization and analysis)
Databases
MySQL
Etc.
OBIEE
Netezza
Hadoop

11. © Copyright 2000-2017 TIBCO Software Inc.
Data Preparation
http://www.slideshare.net/odsc/feature-engineering
Data Preparation

12. Visual Analytics - Interactive Brush-Linked
© Copyright 2000-2017 TIBCO Software Inc.

13. © Copyright 2000-2017 TIBCO Software Inc.
Model Building
A model is a simplification of the truth
that helps you with decision making.

14. © Copyright 2000-2017 TIBCO Software Inc.
Cross-Validation Procedure
https://genome.tugraz.at/proclassify/help/pages/XV.html

15. © Copyright 2000-2017 TIBCO Software Inc.
Execution via Code / Scripting

16. Execution within the Visual Analytics Tooling
© Copyright 2000-2017 TIBCO Software Inc.
Customer Churn with Random Forest Algorithm:
Select variables
for the model

17. © Copyright 2000-2017 TIBCO Software Inc.
Frameworks and Tooling

18. Advanced Analytics and Big Data Tools for Data Scientists
Many more ….
Portable Format
for Analytics (PFA)

19. © Copyright 2000-2017 TIBCO Software Inc.
Demystify Data Science for the Business Analyst
Leverage Machine Learning
without the help of a Data Scientist

20. Development of Analytic Models
with R, TensorFlow, Apache Spark, RapidMiner, TIBCO Spotfire
Live DemoLive Demo

21. © Copyright 2000-2017 TIBCO Software Inc.
Agenda
1) Machine Learning and Big Data Analytics
2) Building an Analytic Model
3) Applying an Analytic Model in Real Time

22. © Copyright 2000-2017 TIBCO Software Inc.
Analytical Pipeline
1. Data Access
2. Data Preparation
3. Exploratory Data Analysis
4. Model Building
5. Model Validation
6. Model Execution
7. Deployment

23. © Copyright 2000-2017 TIBCO Software Inc.
Streaming Analytics - Processing Pipeline
APIs
Adapters /
Channels
Integration
Messaging
Stream Ingest
Transformation
Aggregation
Enrichment
Filtering
Stream
Preprocessing
Process
Management
Analytics
(Real Time)
Applications
& APIs
Analytics /
DW Reporting
Stream
Outcomes
• Contextual Rules
• Windowing
• Patterns
• Analytics
• Deep ML
• …
Stream Analytics &
Processing
Index / SearchNormalization
Applying an Analytic Model
is just a piece of the puzzle!

24. © Copyright 2000-2017 TIBCO Software Inc.
Frameworks and Products
(no complete list!)
OPEN SOURCE CLOSED SOURCE
PRODUCT
FRAMEWORK
Azure Microsoft
Stream Analytics

25. © Copyright 2000-2017 TIBCO Software Inc.
How to
apply analytic models
to real time processing
without redevelopment?
Stream
Processing
H20.ai
Open
Source
R
TERR
Spark
ML
MATLAB
SAS
PMML

26. Apache Spark ML and Spark Streaming with PMML Models
https://github.com/jpmml/jpmml-spark
© Copyright 2000-2017 TIBCO Software Inc.

27. © Copyright 2000-2017 TIBCO Software Inc.
TIBCO StreamBase Connector for R and TERR

28. © Copyright 2000-2017 TIBCO Software Inc.
TIBCO StreamBase Connector for H2O.ai

29. © Copyright 2000-2017 TIBCO Software Inc.
TIBCO StreamBase Connector for PMML

30. Scenario: Predictive Scrapping of Parts in an Assembly Line
Station 1 Station 2
Cost Before
9€
7€ 13€
Total Cost
29€
(or more)
Scrap? Scrap?
Example: Predictive Analytics for Manufacturing (“scrap parts as early as possible”)

31. Fast Data Architecture for Predictive Maintenance
Operational Analytics
Operations
Live UI
CSV Batch
JSON Real Time
XML Real Time
Streaming AnalyticsAction
Aggregate
Rules
Analytics
Correlate
Live Datamart
Continuous query
processing
Alerts
Manual action,
escalation
HISTORICAL ANALYSIS Data
Scientists
Flume
HDFS
Spotfire
R / TERR
HDFS
Hadoop (Cloudera)
StreamBase
TIBCO Fast Data Platform
H2O
Oracle RDBMS
Avro Parquet … PMML
Internal Data

32. TIBCO Spotfire with H2O Integration
© Copyright 2000-2017 TIBCO Software Inc.
Example: Predictive Analytics for Manufacturing (“scrap parts as early as possible”)

33. TIBCO StreamBase / Live Datamart + H2O.ai
Live DemoLive Demo

34. © Copyright 2000-2017 TIBCO Software Inc.
From Insight to Action - Closed Loop for Big Data Analytics
Insight Action
MONITOR
PREDICT
ACT
DECIDE
MODEL
ACCESS
ANALYZE
WRANGLE

35. © Copyright 2000-2017 TIBCO Software Inc.
Key Take-Aways
Ø Insights are hidden in Historical Data on Big Data Platforms
Ø Machine Learning and Big Data Analytics find these Insights by building Analytics Models
Ø Event Processing uses these Models (without Redevelopment) to take Action in Real Time

36. Questions? Please contact me!
Kai Wähner
Technology Evangelist
kontakt@kai-waehner.de
@KaiWaehner
www.kai-waehner.de
LinkedIn