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OpenWorld HighlightsContinuing the DW and Big

Data Conversation

ORACLE OPEN WORLD 2014

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Chapter 1

Key Highlightsfrom 2014...

Overview of the most important highlights from this

year's OpenWorld conference...

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OverviewOracle Executive Chairman and CTO Larry

Ellison emphasized ease of use and cost

advantages for customers during his keynote

presentation on Tuesday at Oracle OpenWorld

2014. Ellison said new capabilities introduced

by Oracle in 2014 enable customers to easily

move their on-premises databases and

applications to Oracle Cloud, helping them

achieve higher performance at lower costs.

Thomas Kurian, Oracles executive vice president of product development, began

his keynote speech at Oracle OpenWorld 2014 by discussing three major trends in

business and culturebig data, mobility,

and the cloud. He then detailed and

demoed new products and services fromOracle that enhance customers ability to

make use of all these important

technologies. To watch the Thomas's

keynote in full click here.

Section 1

KEY MESSAGES FROM OOW 2014

1. Plugging Your Data Warehouse into the

Cloud

2. In-Memory: Speed of thought processing

3. Big Data SQL: run SQL over all your data

Key Messages

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Oracle EVP Thomas Kurian

Oracle Executive Chairman and CTOLarry Ellison

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During his Oracle OpenWorld General Session on the Oracle Database, Andy Mendelsohn, EVP of Database Server Technologies, shared

information about the latest Oracle Database 12c innovations, including Oracle Database In-Memory and Oracle Big Data SQL.

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Click above to watch the Oracle OpenWorld General Session on the Oracle Database. Andy Mendelsohn, EVP of

Database Server Technologies, shares the latest Oracle Database 12c innovations, including Oracle Database In-

Memory and Oracle Big Data SQL.

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Plugging your Data Warehouse into the Cloud

As well as providing applications with more-modern characteristics that businesses need to compete more successfully, the automation

provided by Oracle Cloud relieves customers from the burden of having to perform manual procedures that also sometimes result in

costly human error. During his presentation on Tuesday Larry Ellison stated that:

Automation is a huge di!erence. When you move from on-premise or infrastructure as a service toplatform as a service, your costs

drop precipitously because Oracles so much easier to use.

Getting onto the Cloud using Oracle Multitenant is very simple. Administrators can utilize familiar upgrade-in-place methods to upgrade

existing databases and plug them into a multitenant container database or use data integration tools such as Data Pump and GoldenGate

to migrate data to pluggable databases.

Administrators can use Oracle Enterprise Manager Cloud Control to simplify the management of Oracle Multitenant from database

creation, to workload resource management, problem diagnosis and more. This creates the perfect environment for delivering an

enterprise data warehouse alongside departmental data marts and self-contained analytical sandboxes that are now a vital part of dataexploration within the logical data warehouse (For more information about building a logical data warehouse please refer to the session by

Brian Beckman - DW Platform Manager, Procter & Gamble - from this year's conference, click here).

For more information about visit the Multitenant home page on Oracle.com, click here.

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In-Memory: Speed of thought processing

During his keynote presentation Oracle Executive Chairman and

CTO Larry Ellison personally handled the live, on-stage

demonstration, in which he showedhow easy it was forcustomers to move an Oracle Database 12c database from an

on-premises to cloud deployment and graphically displayed the

queryperformance improvements enabled by the Oracle Database In-Memoryoptions in-memory

column format capabilities. To watch the keynote session click here.

A new option for Oracle Database 12c, Oracle Database In-Memory optimizes both analytics and mixed workload OLTP, delivering

outstanding performance for transactions while simultaneously supporting real-time analytics, business intelligence, and reports. For

more information about Oracle Database In-Memory watch the following videos.

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Database Industry Experts Share

Perspectives on Database In-

Memory

Oracle Applications Executives

Discuss the Real-Time Enterprise

Oracle Executive Chairman and

CTO Larry Ellison

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SQL over all your Data

Hadoop is a big data platform for many companies, but can be problematic because it requires expertise in a programming model called

MapReduce. Oracle Big Data Discovery lets users profile, explore, and analyze Hadoop data, and do prediction and correlation. With

Oracle Big Data Discovery you will be able to explore and find patterns and problems with your data.

Oracle Big Data Discovery combined with Oracle Big Data SQLa recently introduced toolset for working with data across relational

and big data systems using Structured Query Languagerepresents a powerful combination of technologies for supporting a truly

e"ective big data strategy:

# Provides single, optimized SQL query for distributed data

# Supports multiple data sources, including Hadoop, NoSQL and Oracle Database

# Includes automatic, extensible Oracle Database external table generation

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# Provides Smart Scan on Hadoop to minimize data movement and maximize performance

# Ensures advanced security for Hadoop and NoSQL data

The key benefits of Big Data SQL are:

# Use the SQL skills you already have to query any data source

# Access Hadoop and NoSQL using existing applications with SQL

# Extend Oracle Database security to Hadoop and NoSQL

For more information about how Oracle Big Data SQL enables you to use a single query to quickly and securely access your distributed

data read the in-depth article on Oracle.com, click here.

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What are the next steps...

Now you know about the key messages get more in depth analysis about each area by checking out the session catalog and

downloading the presentations. We have grouped the presentations into the following categories:

# Data Warehousing with Database 12c

# General Data Warehouse and Big Data Sessions

# Performance and Scalability Sessions

# SQL Analytics

# Industry Solutions

# Unstructured Data

# Big Data

Stay up to date on all the latest developments in data warehousing and big data by bookmarking our social mediapages listed in Chapter

5.

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Chapter 2

OracleDatabase 12cGet ready to plug your data warehouse in to theCloud.

In the following section you can listen to George

Lumpkin, Vice President of Product Management

for big data and data warehousing, talk about the

exciting new features in Oracle Database 12cthat

will enable your data warehousing and big data

projects to deliver the FUTURE, today.

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Overview: Big Data and Data Warehousing for the Enterprise

Oracle Database 12c provides a comprehensive database platform for data

warehousing and big data that combines industry-leading scalability and

performance, deeply integrated analytics, and embedded data integration and

data-quality:all in a single platform running on a reliable, low-cost grid

infrastructure.

Oracle Database 12c provides best-of-breed functionality for data warehouses and

data marts, with robust partitioning functionality, proven scalability to 100's of TBs,

and innovative query-processing optimizations.

Oracle Database 12c also provides a uniquely integrated platform for analytics; by

embedding OLAP, Data Mining, and statistical capabilities directly into the

database, Oracle delivers all of the functionality of standalone analytic engines in a

single scalable server.

Watch the following videos with George Lumpkin, Vice President of Product

Management for big data and data warehousing, to learn more about Oracle

Database 12c and how it delivers a true enterprise platform, providing advanced

security, high availability, and self-managing capabilities for the most demanding

data warehouses. For the full set of Oracle Database 12cvideos clickhere.

BIG DATA AND DATA WAREHOUSING FORTHE ENTERPRISE

1. Overview

2. Video Presentations

1. Transformational time for Data

Warehousing

2. Uncovering more business value with

analytics

3. Easier management and administration

4. Lowering TCO

5. Ready for the FUTURE with big data

Oracle Database 12c for Data Warehousing

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Section 1

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PDF Users - clickhereto link to movie - this movie requires an internet connection

Movie 2.1

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Movie 2.2

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PDF Users - clickhereto link to movie - this movie requires an internet connection

Movie 2.3

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PDF Users - clickhereto link to movie - this movie requires an internet connection

Movie 2.4

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PDF Users - clickhereto link to movie - this movie requires an internet connection

Movie 2.5

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For more information about the new data warehousing and big data features of Database Oracle 12c please refer to the following links:

# Data Warehousing

# Analytical SQL

# Advanced Analytics(Oracle Data Mining)

#Data Warehousing Best Practices

# OLAP Option

# Parallelism and Scalability

# Partitioning

# Query Optimization

# Text

# XML DB

#Spatial and Graph

# Industry Data Models

# Airline, Communications, Retail

There are additional links to product related blogs and social media sites in Chapter 7: Keeping You Updated

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Chapter 3

SessionCatalogueThis section contains a list of the most importantdata warehouse and big data sessions at this years

OpenWorld. It includes all the sessions by the

Oracle Product Management and Development

teams along with key customer sessions, details of

this years Big Data hands-on lab.

Read on for the list of the best, most innovative

sessions at Oracle OpenWorld 2014...

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This section provides a detailed list of all the key Data Warehousing general sessions from this years OpenWorld. Clicking on the session

title will link though to the OpenWorld content catalogue where the presentation is available for download.

Key for General Sessions

Session marked with a redbox are presentations by Oracle Product Management

Session marked with a bluebox are presentations by customer/partner

The last 12 months have witnessed a range of Oracle product releases to help customers embrace the cloud and gain easier access to

reservoirs of big data. Join Oracle Executive Vice President Andy Mendelsohn in this session to learn how the latest Oracle Database 12c

innovations, including Oracle Database In-Memory and Oracle Big Data SQL, can help businesses improve their bottom line with fast,

real-time access to all their datasources.

Section 1

General Sessions

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Section 1 - Your MUST-DOWNLOAD sessions

General Sessions

Whats New from Oracle Database Development?

Speaker Andy Mendelsohn - Executive Vice President Database Server Technologies, Oracle

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For more than 30 years, Oracle has extended the database with industry-leading innovations, never breaking its pledge to bring your

existing applications and DBAs along. That trend continues with the introduction of Oracle Database In-Memory, an in-memory columnstore second to none and compatible with all existing applications. This session explains in detail what motivated Oracle to develop this

new technology and provides a clear understanding of how this unique dual format architecture works. It also illustrates how the new in-

memory functionality interacts with key database performance features such as Oracle Real Application Clusters (Oracle RAC), Oracle

Partitioning, parallel execution, and much more.

Oracle Exadata has transformed Oracle Database for online transaction processing (OLTP), data warehousing, and database as a service

(DBaaS). In this session, you will learn about the latest Oracle Exadata technology and where Oracle Exadata is going in the future.

Tomorrows data warehousing platform embraces all the innovations and cost advantages of Hadoop while continuing to deliver the high-

performance run-your-business analytics of todays database platforms. Oracle is introducing its big data management system, an

integrated platform across Oracle Database 12c and Hadoop, as the platform for the future. In this session, learn

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Oracle E adata: Whats New and Whats Coming

Speaker Juan Loaiza - Senior Vice President, Oracle

Oracle Database 12c and the Future of Data Warehousing in the Era of Big Data

Speaker George Lumpkin - Vice President, Product Management, OracleNeil Mendelson - Vice President, Big Data, Oracle

Oracle Database In-Memory: The Next Big Thing

Speaker Juan Loaiza - Senior Vice President, Oracle

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# How Oracle Database 12c expands the power of your existing data warehouses

# How Oracle Big Data Appliance is the ideal platform for your Hadoop applications

# How the integration of these two platforms into Oracles big data management system unifies the best of both worlds

In this session, hear how customers are solving challenges of cutting-edge data management by using Oracle data warehousing and big

data solutions on engineered systems such as Oracle Exadata and Oracle Big Data Appliance. Learn how these customers are applying

innovative data management and analytic techniques to drive their business, make the right decisions, and find hidden information. Theconversation will be wide-ranging, with customer panelists from a variety of industries discussing business benefits, technical

architectures, implementation best practices, and future directions.

This session covers the fundamentals of Oracle Multitenant, including the new features delivered with Oracle Database 12c Release

12.1.0.2.

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Data Wa ehousing and Big Data Customer Panel

Speaker George Lumpkin - Vice President, Product Management, Oracle

Reiner Zimmermann - Senior Director, DW & Big Data Product Management, Oracle

Laura Mckechnie - Principal Product manager, Oracle

Oracle Multitenant: Whats New in Oracle Database 12c Release 12.1.0.2

Speaker Patrick Wheeler - Senior Director, Product Management, Oracle

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A successful deployment of Oracle Multitenant will depend on following best practices in several key categories. This session reviews the

best practices that have been established and validated by several early adopters of Oracle Multitenant.

With 12c, Oracle adds a columnar in-memory data store to Oracle Database. This new feature results in a massive acceleration of query

execution. Even better, the columnar store is integrated transparently. Not a single line of application code, ETL, or reporting logic has to

be changed to benefit from it. This presentation assesses the application of the in-memory columnar store to the areas of data

warehousing and business intelligence. Live demonstrations show typical tasks that benefit significantly from the columnar store, andlow-hanging fruits are identified. Thus, attendees will get a clear picture of why it is to their best advantage to use the option in their

environments and how they can get the most out of it.

As business intelligence needs have evolved, Procter & Gambles existing data warehousing reporting applications that meet criticalbusiness needs werent able to evolve e"ectively to meet all new BI requirements. Thus, the company needed to evolve its data

warehousing approach to establish a solid foundation that would enable native agility. It chose to implement a logical enterprise data

warehouse, using its existing data warehousing environments to build upon its successful data warehousing implementations yet deliver

new functionality quickly. At the end of this presentation, participants will have learned how logical data warehousing can be built within

and used from existing data warehouses to meet new business needs.

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Oracle Multitenant: Best Practices

Speaker Patrick Wheeler - Senior Director, Product Management, Oracle

Oracle In-Memory: The Game Changer in Data Warehousing and Business Intelligence

Speaker Holger Friedrich - CTO, sumIT AG

Building a Logical Enterprise Data Warehouse from Existing Data Warehouses

Speaker Brian Beckman - DW Platform Manager, Procter & Gamble

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This section provides a detailed list of all the key Data Warehousing general sessions from this years OpenWorld. Clicking on the session

title will link though to the OpenWorld content catalogue where the presentation is available for download.

Key for Performance and Scalability

Session marked with a redbox are presentations by Oracle Product Management

Session marked with a bluebox are presentations by customer

If You Think Partitioning Is Only for Performance, Think Again

Speaker Hermann Baer - Senior Director Product Management, Oracle

Oracle Partitioning is one of the most proven and successful examples of Oracle Database functionality, used by tens of thousands of

customers. However, more than 15 years after its introduction, there is a common conception that Oracle Partitioning is mainlyor even

onlyfor performance. Although it is true that Oracle Partitioning provides tremendous performance benefits, there is way more to it. So

whats this secret functionality? Why do many customers even use Oracle Partitioning only for these other reasons? Attend this session

to learn the secret part of the tremendous benefits Oracle Partitioning has to o"er.

Section 2 - Your MUST-DOWNLOAD sessions

Performance & Scalability

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Against the backdrop of rapidly changing business requirements, rapidly increasing data sets, increasing levels of analytical

sophistication, and more users wanting shorter execution times, it has become increasingly necessary to balance resource consumption

and service levels in a flexible and dynamic manner. This session covers Oracle Database 12c parallel processing and resource

management. You will learn how to meet your data warehouse performance needs, how to achieve optimal parallelism and good

workload management, and how to drive excellent query performance. Although the presentation covers some of the latest features in

Oracle Database 12c, you will learn about best practices that are applicable to all data warehouse environments.

Oracle Database In-Memory introduces in-memory columnar tables and a new set of SQL execution optimizations such as single

instruction, multiple data (SIMD) processing; column elimination; storage indexes; and in-memory aggregationall of which are designed

specifically for in-memory tables. The Oracle Optimizer feature of Oracle Database has fully incorporated in-memory features into its cost

model to enable existing query workloads to take full advantage of in-memory columnar tables. This session provides an overview of key

in-memory features and shows how to understand new execution plans and how query workloads benefit from in-memory tables. Thissession uses real-world examples to illustrate features and help you understand how to best leverage in-memory tables.

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Parallel xecution and Resource Management in Concurrent Environments

Speaker Nigel Bayliss - Senior Principal Product Manager, Oracle

Yasin Baskan - Senior Principal Product Manager, Oracle

Oracle Database In-Memory Meets Oracle OptimizerSpeaker Mohamed Zait, Architect, Oracle

Bud Endress, Director, Product Management, Oracle

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The modern data scientist needs self-contained private sandbox environments in which to perform what-if read-write analytics with

full data sets. The dream is to provision these sandboxes in an instant and perform analytics at the speed of thought. In this session, learnhowwith Oracle Multitenant and Oracle Database In-Memorythat dream has become a reality today.

To help physicists at CERN analyze their data more e$ciently, a study was done of the use of database technology to store and analyze

data recorded by the experiments at the Large Hadron Collider. Because reconstructed physics objects are described with hundreds of

variables, this physics analysis database has very wide tables. Each physicist typically requires a unique combination of variables to find

the events of interest for a particular analysis, making it di$cult to choose appropriate indexes for this data. This presentation shows how

Oracles new in-memory columnar store helps improve performance when analyzing this type of data.

Oracle recently announced the availability of Oracle Database In-Memory, a memory-optimized database technology that transparently

adds real-time analytics to applications. Because it is 100 percent compatible with existing Oracle Database applications, its easy to

integrate it into your environment and to begin reaping the benefits. This session explains in detail the top five things you need to know to

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Oracle Multitenant Meets Oracle Database In-Memory

Speaker Patrick Wheeler - Senior Director, Product Management, Oracle

Using th In-Memory Columnar Store to Perform Real-Time Analysis of CERN Data

Speaker Emil Pilecki - DBA, CERN

Manuel Marquez - data scientist, CERN

Top Five Things to Know About Oracle Database In-MemorySpeaker Maria Colgan - Master Product Manager, Oracle

Sudheendra Vijayakumar - Principal DBA, Yahoo!

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get the most from Oracle Database In-Memory out of the box. With easy-to-follow real-world examples, the presentation explains exactly

what steps you need to take to get up and running on Oracle Database In-Memory and demonstrates just how much performance you

can expect.

A SQL statement that calls a PL/SQL function is slower than one that defines the same result by using only SQL expressions. The culprit

is the SQL to PL/SQL round-trip. Its cost can be reduced by marking the function deterministic, by invoking it in a scalar subquery, by

using the PL/SQL function result cache, or by some other caching scheme. With caching, you cant predict the result set if the function

isnt pure, so it would seem that caching should be used with caution. This session shows that a function must have certain properties to

be safe even without cachingin other words that the possible semantic e"ect of caching is a red herring. You cant rely on the ordering

and number of function invocation any more than you can rely on group by to do ordering.

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Doing PL/SQL from SQL: Correctness and Performance

Speaker Bryn Llewellyn - Distinguished Product Manager, Oracle

S ti 3 Y MUST DOWNLOAD i

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This section provides a detailed list of all the key Data Warehousing general sessions from this years OpenWorld. Clicking on the session

title will link though to the OpenWorld content catalogue where the presentation is available for download.

Key for SQL Analytics

Session marked with a redbox are presentations by Oracle Product Management

Session marked with a bluebox are presentations by customer

Analyzing data reservoirs in the brave new world of big data can be very challenging and time-consuming. What if you could quickly andeasily apply sophisticated analytical functions to any datawhether its in Hadoop/NoSQL sources or an Oracle Database instance

using a simple declarative language you already know and love? Welcome back to SQL! This presentation is based on a live demo that

takes you from big data application log files to deep, sophisticated, multilayered data discovery analytics via pattern matching, analytical

summarizations, and predictions in just 45 minutes. No one knows SQL like Oracle knows SQL, so come and be amazed at how much

SQL can really do to help you deliver faster, richer, better big data analytics.

Section 3 - Your MUST-DOWNLOAD sessions

SQL Analytics

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Using Analytical SQL to Intelligently Explore Big Data

Speaker Marty Gubar - Director of Big Data Product Management, Oracle

Keith Laker - Senior Principal Product Manager, Data Warehousing and Big Data, Oracle

Joerg Otto - Head of Database Engineering, IDS GmbH - Analysis and Reporting Services

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Moving data mining algorithms to run as native data mining SQL functions eliminates data movement, automates knowledge discovery,

and accelerates the transformation of large-scale data to actionable insights from days/weeks to minutes/hours. In this session, Fiserv, a

leading global provider of electronic commerce systems for the financial services industry, shares best practices for turning in-database

predictive models into actionable policies and illustrates the use of Oracle Data Miner for fraud prevention in online payments. Attendees

will learn how businesses that implement predictive analytics in their production processes significantly improve profitability and maximize

their ROI.

The debate is over. Customers experience performance increases of 50x to 350x for common operations with Oracle Spatial and Graph in

Oracle Database 12c. With no changes to application codeusing the same hardware, same data, and same queriesapplications

realize these performance improvements. In this session, learn how this has been achieved, the benefits obtained by customers, and how

you can get the same results. In the session, experts from Oracle, Neustar, and Think Huddle share test results for

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Big Data and Predictive Analytics: Fiserv Data Mining Case Study

Speaker Charles Berger - Senior Director, Product Management, Data Mining and Advanced Analytics, Oracle

Miguel Barrera - Director, Risk Analytics, Fiserv, Inc

Julia Minkowski - Risk Manager, Fiserv, Inc.

Big Data Spatial Performance with Oracle Database 12c

Speaker James Steiner - Vice President, Product Management, Oracle

Daniel Geringer - Senior Software Development Manager, Oracle

Siva Ravada - Senior Director of Development, Oracle

Nick Salem - Distinguished Engineer, NEUSTAR INC

Steven Pierce - CEO, Think Huddle, LLC

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# Aggregation, distance, and containment operations

# Geocoding, bu"er, and raster operations

# LiDAR workloads on the newest Oracle Exadata systems

Also see the results of tests comparing Oracle Spatial and Graph with several other open source and commercial products.

Learn how graph databases now provide a scalable and secure semantic metadata layer to unify and federate relational, big data, and

fast data sources. Oracle Spatial and Graph is completely integrated with Oracle Database 12c, thereby providing developers with the

enterprise-class performance, scalability, and security necessary for todays graph-based applications. Lines of businesses are migrating

to graph databases to build out their linked data, logical data warehousing, and data integration solutions. This presentation highlights

how customers are benefiting from the enterprise-class performance, scalability, and security necessary for todays graph -based

applications.

With the advent of R and a rich ecosystem of users and developers, a myriad of bloggers, and thousands of packages with functionality

ranging from social network analysis and spatial data analysis to empirical finance and phylogenetics, use of R is on a steep uptrend. With

new R tools from Oracle, including Oracle R Enterprise, Oracle R Distribution, and Oracle R Advanced Analytics for Hadoop, users can

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A Perfec Storm: Oracle Big Data Science for Enterprise R and SAS Users

Speaker Marcos Arancibia Coddou - Product Manager, Oracle Advanced Analytics, Oracle

Mark Hornick - Director, Advanced Analytics, Oracle

Coolest raph Features in Oracle Database 12c

Speaker Xavier Lopez - Director, Product Management, Oracle

Zhe Wu - Architect, Oracle

Jayanta Banerjee, Oracle

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scale and integrate R for their enterprise big data needs. Come to this session to learn about Oracles R technologies and what data

scientists from smart companies around the world are doing with R.

SAS Solutions OnDemand, through its software as a service (SaaS) o"ering, provides a cloud-based service for more than 500 customer

sites and tens of thousands of users across 70 countries. In this session, SAS discusses the innovative techniques and best practices it

uses to support its premium customers on an Oracle engineered systems and Oracle Database infrastructure. It describes how using new

features in Oracle Database 12c and Oracle Multitenant on Oracle Exadata systems increases e$ciencies for lowering TCO while

maintaining the highest standards of security, availability, agility, and performance that its customers demand and expect.

Starting from common problems facing SQL developers, this session gives insight into how the MATCH_RECOGNIZE clause provides

solutions that are more straightforward and e$cient than pre-12c methods such as analytics or the MODEL clause. Among the problemareas covered: grouping sequences, grouping based on intervals or running totals, and bin fitting problems. Real-life examples in the

session illustrate how to solve advanced analytical problems, with a focus on regular expressions. Attendees will learn how to think of

common problems in terms of pattern matching; how to discern problem types that MATCH_RECOGNIZE can help solve; and how to

work around some limitations, including the major pitfall of regular expressions: catastrophic backtracking.

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SAS Solutions OnDemand: A Multitenant Cloud O#ering Based on Oracle Database 12c

Speaker Patrick Wheeler - Senior Director, Product Management, Oracle

Aalok Muley - Sr. Director Database Development, Oracle

Randy Wilcox - DBA Team Manager, SAS Institute Inc.

Oracle Database 12c Row Pattern Matching: Beating the Best Pre-12c Solutions

Speaker Stew Ashton, BNP Paribas

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The functionality available to Oracle Database developers has evolved over all releases of Oracle Database. The improvements have

allowed for faster development, richer functionality, and better-performing code as well as clearly establishing the role of the database in

multi-tier applications and SOA architectures. Areas of recent improvement include core SQL (with inline PL/SQL), flashback, data pattern

processing, zero-downtime application upgrades, XML manipulation, JSON support, inbound and outbound HTTP processing, data

redaction, fine-grained auditing and authorization, and PL/SQL language extensions. This session demonstrates the most-useful

Database 12c features for application developers.

This session presents three case studies related to predictive analytics with the Oracle Data Mining feature of Oracle Advanced Analytics.

Service contracts cancellation avoidance with Oracle Data Mining is about predicting the contracts at risk of cancellation at least nine

months in advance. Predicting hardware opportunities that have a high likelihood of being won means identifying such opportunities at

least four months in advance to provide visibility into suppliers of required materials. Finally, predicting cloud customer churn involves

identifying the customers that are not as likely to renew.

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Everythi g That Is Really Useful in Oracle Database 12c for Application Developers

Speaker Lucas Jellema - Solution Architect, AMIS Holding B.V.

Predictive Analytics with Oracle Data Mining

Speaker Bryan Hodge - Global Leader, Customer Intelligence, Oracle

Vinay Deshmukh - Senior Director, Oracle

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Traditional database applications use SQL queries to filter, aggregate, and summarize data. This is called descriptive analytics. The next

level is predictive analytics, where hidden patterns are discovered to answer questions that give unique insights that cannot be derived

with descriptive analytics. Businesses are increasingly using machine learning techniques to perform predictive analytics, which helps

them better understand past data, predict future trends, and enable better decision-making. This session discusses how to use machine

learning algorithms such as regression, classification, and clustering to solve a few selected business use cases.

Dunnhumby is all about driving value by understanding what each individual customer wants, needs, and prefers. But insights can deliver

results only when they are appliedwhen you listen, make better decisions, and reward customers for what they do. This is true for all of

us, whether our customers are consumers or other businesses. Attend this session to hear about Dunnhumbys own internal journey to

enable greater customer-centricity by leveraging Oracle Customer Experience solutions.

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Advance Predictive Analytics for Database Developers on Oracle

Speaker Pirama Arumuga nainar - Senior Software Engineer, Oracle

Ekine Akuiyibo - Software Engineer, Oracle

Debabrata Sarkar - Senior Engineering Manager, Oracle

Customer Case Study: Putting Customers at the Center of Every Decision

Speaker Angelique Moon, Oracle

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With almost 120 years of franchising experience, Dunkin Brands owns two of the worlds most recognized, beloved franchises: Dunkin

Donuts and Baskin-Robbins. This session describes a market basket analysis solution built from scratch on the Oracle Advanced

Analytics platform at Dunkin Brands. This solution enables Dunkin to look at product a$nity and a host of associated sales metrics with

a view to improving promotional e"ectiveness and cross-sell/up-sell to increase customer loyalty. The presentation discusses the

business value achieved and technical challenges faced in scaling the solution to Dunkin Brands transaction volumes, including

engineered systems (Oracle Exadata) hardware and parallel processing at the core of the implementation. Have you ever wanted to add

some data science to your Oracle Application Express applications?

This session shows you how you can combine predictive analytics from Oracle Data Miner into your Oracle Application Express

application to monitor sentiment analysis. Using Oracle Data Miner features, you can build data mining models of your data and apply

them to your new data. The presentation uses Twitter feeds from conference events to demonstrate how this data can be fed into your

Oracle Application Express application and how you can monitor sentiment with the native SQL and PL/SQL functions of Oracle Data

Miner. Oracle Application Express comes with several graphical techniques, and the presentation uses them to create a sentiment

dashboard.

Oracle Copyright 2014 32

Market asket Analysis at Dunkin Brands

Speaker Mahesh Jagannath, Dunkin Brands

PrasannaKumar Palanisamy - Development Manager, Dunkin Donuts

What Ar They Thinking? With Oracle Application Express and Oracle Data Miner

Speaker Brendan Tierney - Consultant, DIT & Oralytics.com$

Roel Hartman - Director, APEX Consulting$

Section 4 - Your MUST-DOWNLOAD sessions

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This section provides a detailed l