Thursday Mar 12, 2015

Oracle Real Time Decisions hands-on Technical 2-Day Training Workshop

Apr 16 - Apr 17, 2015 in London, UK - Partners from all countries welcome.

This Oracle Real Time Decisions (RTD) hands-on technical 2-Day training course is designed for Partner individuals on the implementation team responsible for RTD installation and administration, to enable participants to perform tasks required to successfully configure and deploy RTD with their operational applications. Participants learn about various aspects of integration between RTD and target applications, including Siebel Call Center and E-Commerce, and are prepared to engage on RTD deployment projects at all levels of the project lifecycle, from gathering requirements to production rollout and monitoring.

The course introduces the RTD platform, describing its features, function, and capabilities. It also covers the RTD architecture, platform, and pre-built Base and Specialized solutions, including RTD for Intelligent Offer Generation and RTD for E-Commerce. The lesson topics are reinforced with structured hands-on practices during which participants create and deploy a fully functional inline service project from scratch.  This training is free of charge to OPN member partners.


Thursday Feb 26, 2015

EMEA Oracle Big Data Analytics Partner Forum 29th to 30th April 2015

For Partners in BI, Data Integration and Big Data - Partners from all countries welcome.

Big Data Analytics is gathering momentum and we would like to share with you the many Oracle Customer case studies that demonstrate why and how they are achieving great value for their organisations with Oracle Big Data Analytics.

Also get Hands-on experience with the game-changing new Big Data Discovery product.

29th -30th April, 2015 at the Hilton Madrid Airport, Spain - Register Now

This is your key annual event here in Europe to get the latest from Oracle to propel your business growth in Big Data Analytics. This event should appeal to Analytics, Big Data, Data Warehouse and Data Integration specialised Partners, Executives, Sales, Pre-sales and Solution consultants: with a choice of participation in the plenary day-1 and then two optional deep-dive sessions on day-2:

1. Big Data Discovery - Hands-on Technical Training

2. Big Data & Analytics Architecture Masterclass

Partners can attend to discover Oracle Big Data and Analytics from an initial client engagement perspective. See what is new in the latest version of Oracle Analytics and Big Data products and see how this translates into a cohesive solution architecture to support your projects and business transformation programmes. Understand how Analytics is positioned for the market opportunities from Big Data and greater business user demand for Self-service Visualisation and prototyping, as well as going deeper to support information discovery by Data Scientists.


There is no registration fee for OPN member partners for the conference which includes the plenary day, gala dinner, as well as any of the deeper dives and technical training, but you will be responsible for your own travel and hotel expenses.

Click here to Register Now and for more information. And check out these links:-

Session Guide:

Wednesday
29th April 2015: Day 1

Main Plenary Session
Full day - Registration 9.0 am, Dinner in the Evening

Thursday
30th April 2015: Day 2

Big Data Discovery - Hands-on Technical Training
All day - starting 9.00 am

Big Data & Analytics Architecture Masterclass
All day - starting 9.00 am


Friday Feb 20, 2015

Oracle Big Data Discovery Now Available - The Visual Face of Hadoop


There has been a lot of excitement about Oracle Big Data Discovery, and it is now generally available to customers and partners and can be sold and installed now.

This is a stunningly visual, intuitive tool that enables you to leverage the power of Hadoop and turn raw data into business insight in minutes — without learning complex products or relying only on specialists.

From a partner perspective it is perfect for proof of concept work with your clients to reveal the value they can find in their large information reservoirs combining a variety of data and text sources; potentially leading to much more and deeper analysis as part of an overall big data information architecture.

To find out more see these videos:

Check out the Capabilities of Big Data Discovery to

  1. Easily find relevant data by browsing a rich, interactive catalog of all data in hadoop using familiar keyword search and guided navigation.
  2. Explore data to understand its’ potential by visualizing the shape and quality of unfamiliar data and combining attributes to uncover interesting relationships.
  3. Transform and enrich to make data better with intuitive, user-driven data wrangling.
  4. See rich, interactive visualizations that reveal new patterns by blending diverse data sets for deeper perspectives.

More Resources:

Thursday Feb 12, 2015

Take Mathematics to the Data with SAS High Performance Analytics on Oracle

Many Oracle partners have “Data Science” practices using SAS, who are one of our key ISV Partners in the statistical analytics space. Thousands of customers across every industry and public sector entrust their SAS deployments to Oracle databases, middleware, and systems infrastructure: and you and your clients can combine the power of SAS and Oracle as efficiently as possible by taking the mathematics to the data with SAS High Performance Analytics on Oracle Big Data Appliance and Exadata.


For example, see this 4 minute video discussion with Paul Kent, SAS VP - SAS Big Data Analytics on Oracle Engineered Systems.

Also download these papers and presentations:

Tuesday Dec 23, 2014

Big Data Analytics Sales and Solution Architecture 1-Day Workshop

February 17, 2015 – at the Oracle London Office, UK - Register for Event

OPN member partners from all EMEA countries are welcome to attend free of charge.

At this Big Data and Analytics Sales and Solution Architecture for Partners Workshop, partners can discover Oracle Big Data and Analytics from an initial client engagement perspective.

Walk away ready to talk confidently about Oracle Big Data, Real Time Decisioning, In-memory Analytics, OBI Foundation, Endeca and Private and Public Cloud solutions to your clients.

What we will cover

The agenda is aimed to deliver project-winning messages and high level demonstrations to everyone in the audience; recommending a process to engage with a client, to show business value and carry the client through a journey from discovering possibilities to completing a comprehensive information management and analytics architecture.

  • Winning new Big Data and Analytics projects with Oracle in 2015
  • Understand the Rise of the Data-Scientist and what has made Maths Cool
  • Solution Visualisation and prototyping techniques for Business Users and Data Scientists
  • Oracle on Oracle – Scale-able Servers for BI, In-Memory Analytics and Big Data
  • Oracle Big-Data and Analytics in the Cloud Services (PaaS)
  • A Transformational Architecture - Game changers for Big-Data Analytics and: the Opportunity for Oracle Partners
  • A Partners’ Get-Started-Kit for Oracle Big Data and Analytics and help for oracle partners to work with oracle sales.
  • Customer Value achieved in Case Studies of Big Data and Analytics Solutions

See what is new in the latest version of Oracle Analytics products and Big Data products and see how this translates into a cohesive solution architecture to support your projects and business transformation programmes. Understand how Analytics is positioned for the market opportunities from Big Data and greater business user demand for Self-service Visualisation and prototyping, as well as going deeper to support information discovery by Data Scientists. 

We will also introduce you to our “Hands-on Self-service Analytics Test Drives”. You as a partner, can then re-use our kits to run your own customer-facing Test Drive events to get their interest and build your sales pipeline – you do not need to be “technical” for this. 

Target Audience

Client executives, sales and solution architects from Oracle Partners will benefit from this event. Existing partners selling applications or technology or hardware will all benefit by being able to cross-sell Analytics and Big Data solutions to existing and new clients.

Tuesday Dec 02, 2014

Real-Time Decisions on Big Data

By continuously learning in real time, an adaptive solution can predict and optimize the outcome of each transaction, thereby improving the customer experience and maximising revenues. With increasing amounts and speeds of data acquisition, the solution needed for this must make many decisions automatically and very quickly (for example in less than a Tenth of a second for an effective eCommerce application) based on large amounts of data.

Many of our recent Big Data customer projects are driven by this need for high value real time decisions. As a Partners you can offer excellent ROI to you clients by deploying Oracle RTD (Real Time Decisions) to combine both rules and predictive analytics; instilling real-time intelligence into business processes or customer interactions as they happens.

Oracle Real-Time Decisions allows business users to adjust rules and predictive based decisions to optimize competing business goals, such as increasing revenue while decreasing servicing costs. Technically, RTD is based on an Open Service-Oriented J2EE Architecture - built on a service-oriented architecture (SOA) using industry-standard J2EE application servers (such as Oracle Application Server, BEA WebLogic and IBM WebSphere), and can be readily incorporated into many existing or new applications.

The Oracle Real-Time Decisions Base Application is a library of pre-configured components representing best practices for Decision Management implementations using Oracle Real-Time Decisions. The library contains two types of component: pre-configured Decision Services that can be used to implement specific decision patterns and Application Components that can be used by business users to support their decision management needs. The pre-configured Decision Services provide best practice patterns for E-Commerce and Customer Service interactions optimization, and contain hundreds of pre-built elements such as performance goals, data attributes, predictive models and reports. The pre-configured Application Components address the needs of business users in terms of content authoring, access and version control, search, collaboration and workflow integration.

These Application Components are then assembled together into a pre-configured Decision Management application for Marketing Optimization, a turn-key deployable solution for real-time inbound marketing optimization and collaborative decision management, now available as a component of the Oracle Real-Time Decisions Base Application.

For example, in the context of E-Commerce, the Oracle Real-Time Decisions Base Application provides a generalized Inline Service for the purpose of optimizing E-Commerce interactions for Oracle or non-Oracle E-Commerce systems, while Oracle Real-Time Decisions for Siebel E-Commerce is a pre-packaged version of the above mentioned Inline Service that has been tailored for the Siebel E-Commerce Application. Similarly, the Siebel Intelligent Offer Generation product (IOG) extends Siebel Marketing and Siebel Contact Center with RTD capabilities for Contact Call Centres.

For more information see RTD on OTN, and at Oracle.com.

Thursday Nov 20, 2014

Partners’ Get-Started-Kit with Oracle Big Data and Analytics

If you are struggling with how (and why) to get started with “Big Data” and Hadoop based tools with Oracle and your Analytics practice, then see below for some resources and I will post some additional topics and hints on this theme in the next month. Especially start by trying the ETL tools (ODI & GoldenGate) on Hadoop as a lower cost ETL and staging platform for any data warehouse, and try out the new Oracle Big Data Discovery, Now Available - The Visual Face of Hadoop.

Hands-on Labs - Big Data and Analytics

There are several hands-on-labs available to help you get started with the platform which you can practice by downloading the pre-configured VM (Oracle Big Data Lite Virtual Machine):

Oracle Big Data Learning Library

Numerous hands on labs and videos for capabilities that span the Oracle Big Data platform.

Analyze All Your Data with Oracle Big Data SQL

Learn how to securely analyze all your data - across both Hadoop and Oracle Database 12c - using Oracle Big Data SQL

Access Data in Oracle NoSQL Database from Oracle Database

Access data in Oracle NoSQL Database from Oracle Database 12c using external tables.

Tame Big Data with Oracle Data Integration

Learn about how to design Hadoop data integration using Oracle Data Integrator and Oracle GoldenGate.

Integrate Hadoop Data with Oracle Database using Oracle Big Data Connectors

Use Oracle Loader for Hadoop to efficiently load data into the Oracle Database using MapReduce jobs. Access data in HDFS directly from the Oracle Database using Oracle SQL Connector for Hadoop.

Using SQL Pattern Matching

This series features both OBEs and recorded webcasts. Learn how to use SQL for Pattern Matching. Row pattern matching in native SQL improves application and development productivity and query efficiency for row-sequence analysis.

Oracle Data Mining 12c Tutorial Series

The OBE's in this series provide you with instructions on how to perform data mining with Oracle Database 12c, by using Oracle Data Miner 4.0. Oracle Data Miner 4.0 is included as an extension of Oracle SQL Developer, version 4.0.

Oracle R Enterprise v 1.4 - Tutorial Series

Oracle R Enterprise (ORE), a component of the Oracle Advanced Analytics Option, makes the open source R statistical programming language and environment ready for the enterprise and big data.

Introduction to Oracle NoSQL Database

Use Oracle NoSQL Database in the context of the Oracle MoviePlex application. Create schemas, load data and then utilize that data in the online movie application.

Oracle NoSQL Database - Installation/cluster topology deployment (pdf | scripts)

Learn how simple and intuitive it is to deploy a highly available (production ready) Oracle NoSQL Database cluster.

Data Manipulation with Hive and Pig (pdf  | script)

A Quick introduction to HDFS, Pig and Hive.

Oracle Big Data Lite Virtual Machine: Free Download (for testing, demo and educational purposes only)

This (version 4.0.1) provides an integrated environment to help you get started with Big Data. Many Oracle Big Data platform components have been installed and configured - allowing you to begin using the system right away, including:

  • Oracle Database 12c Release 1 Enterprise Edition (12.1.0.2)
  • Oracle Big Data SQL-enabled external tables
  • Cloudera Distribution including Apache Hadoop (CDH5.1.2)
  • Oracle Big Data Connectors 4.0
  • Oracle NoSQL Database Enterprise Edition 12cR1 (3.0.14)
  • Oracle JDeveloper 12c (12.1.3)
  • Oracle SQL Developer and Data Modeler 4.0.3
  • Oracle Data Integrator 12c R1 (12.1.3)
  • Oracle GoldenGate 12c
  • Oracle R Distribution 3.1.1

Thursday Oct 02, 2014

Big Data Discovery News from Oracle OpenWorld 2014

Thomas Kurian, Oracle’s executive vice president of product development, began his keynote speech at Oracle OpenWorld 2014 by discussing three major trends in business and culture—big data, mobility, and the cloud. He then detailed and demoed new products and services from Oracle that enhance customers’ ability to make use of all three.

Kurian introduced a new set of tools called Oracle Big Data Discovery, which allows database managers and engineers to work more effectively with Hadoop, as “the visual face of Hadoop”. 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,” Kurian said. Find out what Information Week reported about this Hadoop Data Exploration Tool.

Oracle Big Data Discovery combined with Oracle Big Data SQL, a recently introduced toolset for working with data across relational and big data systems using Structured Query Language, represent a powerful combination of technologies for supporting a truly effective big data strategy.

Kurian also referenced several other technology developments by Oracle:

If you did not manage to visit Oracle OpenWorld 2014, then you can still find out about all of this news, in discussion with our Analytics development and strategy team here in Europe at the Oracle Business Analytics EMEA Partner Community Forum on 21st October to 24th October, 2014 in Utrecht, Netherlands.

Monday Jul 14, 2014

Managing Hierarchies in Financial Applications with DRM

Hierarchies and related links are fundamental to using financial, and indeed many other applications, for example:

  • When a new Chart of accounts is designed, linking an account to its parent is key for future aggregation of data.
  • When legal entities have to be sorted, hierarchies can be built according to dimensions such as geography or organizations.
  • In a General Ledger, every accounting flexible field is a potential analytical dimension.
  • Respecting relationships is also very important when reorganizing sales territories taking into account geography dimension, human resources, client or product information.

That’s why partners have a great opportunity to help their clients to better manage these hierarchies and relationships which are often used in EPM (Enterprise performance management) and Business intelligence. Financial Applications share entire or partial hierarchies with different levels of detail, different points of view. So, “Financial MDM” helps companies to be more efficient because hierarchies and their relationships are managed in a single place. Every modification impacts all applications at the same time. This increases consistency and data quality among all hierarchies.

Financial MDM has got the same DNA as other MDM domains and is a key tool to help partners implement new systems, upgrades and migrations for their clients because it accelerates deployment based on these coordinated and validated hierarchies. Financial MDM manages specific types of master data, such as:

  • Charts of accounts: consolidated, corporate or local. They can be different depending on application type. For instance, granularity is not the same for actual accounting or forecasting. They can be designed to meet different regulatory requirements: local, IFRS, GRI sustainability reporting or Solvency II in the insurance industry
  • Legal entities including different dimensions: geography, activities
  • Organizational dimensions : departments, business units, cost and profit centers
  • Analysis dimensions: using general ledger accounting flexible fields such as sales channels or projects
  • Reference data: time, currencies, taxes.

Financial master data needs to be quickly and easily adapted to business changes at the fast pace of business. Financial MDM is essential not only for minor modifications in day to day business, when creating a new cost centre or modifying an existing attribute for a legal entity, but also when making major changes such as mergers, acquisitions, reorganizations or regulatory changes.

Flexibility is the key to allow business users to easily make their own updates, plus these changes have to be part of a data governance process. A workflow is required to define roles and responsibilities.

Five reasons to invest in a Financial MDM

  1. Empower financial business users
  2. Ensure consistency in business hierarchies and related links
  3. Link local needs to corporate standards and consolidate all lines of business
  4. Accelerate Mergers & Acquisitions
  5. Analyze your master data across heterogeneous environments

See more at:

Friday Apr 11, 2014

IDC Big Data in the Enterprise: When Worlds Collide

IDC has published new research on the growing benefits of big data analytics in the enterprise.  You can also watch a webcast of Dan Vesset, IDC's VP of Business Analytics Programs, discuss the research of when the relational and non-relational worlds collide on big data to achieve higher performance.

To unlock the value of big data, organizations need to extend the existing IT architecture from the tried and tested relational technology to integrate with non-relational technologies. Only this combination of both, with the analytic techniques they enable, can propel organizations toward fact-based decisions.

The research suggests evidence that in 68% of all organizations who combine both technologies to the fullest extent, achieve higher performance: twice as many high-achievers as low-achievers have supplemented relational technology with non-relational technology to the fullest extent needed.

“Today, there is mounting evidence of the end of irrational exuberance in big data. 2014 is ushering in a long-term trend of pragmatic purchasing and deployment of a range of big data and analytics technologies and services. This pragmatism has already resulted in a realization of not only the need for coexistence of relational and non-relational big data and analytics technologies but also the fact that together these technologies can enable completely new ways of conducting business, serving and protecting citizens, caring for patients, teaching students, and managing natural resources.”

Tuesday Apr 01, 2014

Real-Time Decision (RTD) Management Solutions

There is increasing value for organizations who can respond with situational awareness in real time with event-based Decision Management Systems, especially for:
  1. Real-time marketing – to give personalised offers most likely to increase revenue
  2. Proactive customer support – to deliver that superior customer experience
  3. Fraud detection – to stop and counter risk and loss
  4. Internet of Things – responding effectively to Sensor feeds

Find out more how Oracle Partners can help their Clients with RTD, eCommerce & Insight:

Friday Mar 07, 2014

Download Business Analytics Practitioner Guides for Enterprise Architecture

As we survey the marketplace storms - Cloud, Big Data, Mobile, Self-service Analytics, In-Memory – we see that Architecture and Governance are more important than ever.

To help our partners and customers weather this evolution, we have provided an in-depth library of guidelines and reference architectures containing pragmatic advice and approaches that will help you better plan, execute, and manage IT Strategies to achieve agility, economy, performance and sound governance.

Login here to Download Business Analytics Practitioner Guides for Enterprise Architecture

For example you will find in this library:

Business Analytics Practitioner Guides

· Creating a BA Roadmap (PDF, 44 pages, published: July 2013)
Business analytics can be a complex undertaking requiring business alignment, communication, and planning. This document describes the process used to create an effective BA Roadmap. It takes into account several business factors and an evaluation of the current state in order to prioritize efforts that will best serve both the business and IT communities.

Business Analytics Reference Architectures

· BA Foundation (PDF, 70 pages, published: June 2013)
This document presents a view of business analytics designed to offer companies the desired advantages while minimizing the time and expense often associated with BA endeavours. This document defines the core concepts of modern business analytics, provides a conceptual view of the architecture depicting the key capabilities, and identifies applicable technology standards.

· BA Infrastructure (PDF, 100 pages, published: June 2013)
At most organizations, business analytics systems have been deployed piecemeal over time resulting in data inconsistencies, complexity, and inflexibility. This document describes desirable and practical architecture principles and a reference architecture from which an organization can tailor their own architecture blueprint to tame the chaos.

Business Analytics White Papers

· Oracle's Approach to Business Analytics (PDF, 18 pages, published Sept 2013)
The advent of Big Data has ushered in a new wave of interest in business analytics. Organizations are challenged with moving ahead with new technologies while managing existing environments and integrating it all into a cohesive solution. This document describes Oracle's pragmatic approach to business analytics - one that focuses on a strategic vision, yet tactically delivers value and improves proficiency over time.

Enterprise Solution Designs

· Big Data and Analytics Reference Architecture (PDF, 39 pages, published: September 2013)
Big Data is being used in ingenious ways to predict customer buying habits, detect fraud and waste, analyze product sentiment, identify new business opportunities, etc. Rather than approach Big Data as a new technology silo, an organization should strive to create a unified information architecture that incorporates Big Date with all other types of data. This paper defines and describes a reference architecture that promotes a unified vision for information management and analytics.

Oracle Reference Architecture

· Information Management (PDF, 208 pages, published: July 2013)
Information is key to enabling competitive advantage and must be must be delivered pervasively within the business as well as to the wider community and customer base. This document offers a framework for an information management architecture that supports an overall information management strategy including the capabilities to ensure accuracy, integrity, security, and consistency of the information as well as integration capabilities.

Login here to Download Business Analytics Practitioner Guides for Enterprise Architecture

Tuesday Jan 21, 2014

Big Data Analytics is Big News

From our BI partner Forum last week in London focusing on Big Data Analytics, I think the messages coming through from the discussions with partners and clients can be distilled into a few points:

1. Find Value = Organisations are more successful in finding value from potential Big Data Analytics projects when they combine data from “Hadoopable” sources with their traditional Oracle databases: for example merging social sentiment information with existing customer loyalty and product revenue data. Hadoop projects in isolation are struggling to complete the business case.

2. Oracle+Hadoop = Open source Hadoop and “R”-analytics are very complimentary to the Oracle stack, and indeed are greatly strengthened by Oracle’s software distribution and connectivity options – notably with OBI, Endeca, ODI, SQL, and the Oracle Big-data-Connectors for Hadoop.

3. Interconnect = Any Oracle partner can get going with this by downloading the software onto a relatively modest server, where they can interconnect the complete platform, and quickly get to grips with it: see below.

a. You can directly access data from Hadoop to analyse, visualise, and assess its’ value, and join it to Oracle DB data within OBI and Endeca and R.

b. If and as needed, data in Hadoop can be economically selected, processed, and enriched with familiar tools like ODI, and then moved with the Connectors into an Oracle database at very high speed transfer rates, within your data governance model (e.g. see the Oracle's Information Management Masterclass Tutorials).

4. Start Smaller = Of course, an Oracle Big Data Appliance plus the Exalytics and Exadata engineered systems are the ultimate solution for this, but all of the software platform from Oracle runs very well with Hadoop on smaller commodity servers. The choice of scale depends on your client’s needs – this is not a constraint on getting value from the integrated software stack. Projects can start relatively “small”; with one commentator suggesting the median deployment is around 10 Tb, and only very few are in the Petabyte range).

5. Enterprise-grade = For the successful Enterprise-grade projects, the Oracle tooling that connects with Hadoop and R provide the security, speed and reliability needed to de-risk the project and surface the value. These familiar tools (OBI, ODI, SQL, Big-data-Connectors) also minimise the skills gap and cost otherwise needed for extensive Java and MapReduce programming.

6. Hadoop is not Big Data = The key to value is using the right set of tools for the job: this may or may not include Hadoop.

This is a recent customer story where the full architecture is being put to broad use:

CaixaBank deploys new big data infrastructure on Oracle - Enables the Spanish Bank to Develop Better Customer Services, Integrating Data Created Across All Its Channels.

Interconnect the complete platform

Partners can assemble a complete platform from these VMs. These pull together a large set of tools, and so I recommend you put this on a server with 32Gb RAM.  You can also get some hints @ Oracle BI Partners Get to Grips with Big Data Analytics

Find out more @ Oracle's Information Management Masterclass Tutorials

and White-paper @ Information Management and Big Data Reference Architecture

Monday Jan 20, 2014

Video Lecture Series Data Science Boot-Camp Tutorials

To introduce you to some topics in “Data Science”, below are some direct links to access a good set of ~ 30 minute Boot-Camp Tutorials by our Dan McClary, Ph.D., Oracle Principal Product Manager Big Data

Lessons: @ Video Lecture Series: Data Science Boot Camp

This lecture series utilizes data sets and example code: to access @ Data Science Bootcamp Data Sets and Example Code

You might also like to view the Oracle R Enterprise Tutorial Series.

Oracle R Enterprise Tutorial Series

Below are some direct links to access a good set of ~ 30 minute tutorials to introduce you to “R”, Oracle R Enterprise and R for Hadoop By Brian Pottle, Senior Principal. You can also see from this link How much faster is the Oracle R implementation compared to “Normal” R ?.

Lessons: @ Oracle R Enterprise Tutorial Series on Oracle Learning Library

You might also like to view the Video Lecture Series: Data Science Boot-Camp Tutorials.

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