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

Wednesday Mar 05, 2014

Oracle Again in Gartner Leaders Quadrant for 2014 BI and Analytic Platforms

Gartner issued the 2014 BI Platforms and Analytic Platforms Magic Quadrant placing Oracle in the Leaders quadrant again. 

The Good News

The key aspects for Oracle BI partners is that Gartners sees acceleration in the trend “from BI systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization”: which is clearly good for us since all these capabilities can be deployed by Oracle partners with OBI Foundation Suite, Oracle Advanced Analytics and Real-Time Decisions.

Also, “the race is on to fill the gap in governed data discovery.” Endeca Information Discovery 3.1, and its’ integration to Oracle BI, addresses this Self-service requirement better than any of the competition – but be aware that Gartner did not consider this at the time of this 2014 report, since version 3.1 was not out in time for inclusion.

Oracle is a Leader for the 8th consecutive year.  Top reasons cited include:

  • Broad product suite that works with many heterogeneous data sources for large-scale, multi-business-unit and multi-geography deployments
  • Integration with Oracle apps and technology, and with Oracle Hyperion EPM
  • Prebuilt analytic applications – horizontal Oracle BI Applications and the many industry analytic applications built on Oracle BI
  • Among the largest deployments in terms of numbers of users and data sizes
  • 69% of Oracle BI customers consider it their enterprise BI standard
  • Large, global network of partners

 Oracle has secured distribution rights for this Gartner research.  Get it here.

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.

Tuesday Nov 26, 2013

Small Steps to Big Data BI&EPM Partner Community Forum January 2014

Open to all OPN partners in EMEA, we are running the Business Analytics Partner Community Forum over two days in London, on 16th and 17th January 2014 - Register Now Here.

This forum entitled “Small Steps to Big Data” will focus on discussing with Partners, how best to exploit the tremendous interest in “Big Data Analytics” and to clarify under what circumstances “R” and “Hadoop” are best deployed, and how these co-exist, integrate with, and extend the capabilities of tools you are already familiar with such as Oracle BI, ODI, Endeca and the Oracle Database. We will consider guidelines to hardware deployments, but the main focus of the forum will be how the software inter-operates: with guest speakers from Cloudera, and other partners who have experience in this field.

On the one hand, I do not think “Big Data=Hadoop”. While on the other, Oracle whole-heartedly embraces useful Open Source innovations such as “R” and “Hadoop”: we are, after all, a big player in Open Source with for example JAVA, NoSql and MySql.

You can download the agenda here.  We will seek to answer questions such as:

· How Big is “Big” ? ... at what size is Hadoop’s MPP approach beneficial ?

· What about “Variety” ? ... how do we digest “Any Data” ?

· Who uses this analytics ? ... a few “Data Scientists” or 100s of “Business Users” ?

· How do you spot a “Big Data Analytics” opportunity ?

· If someone is already using Hadoop, do they want to talk to Oracle ?

· What is NEW, and what is Business-as-Usual ?

Audience: This forum will appeal to CTOs, Solution architects and consultants in Oracle Partners familiar with Oracle’s Business Analytics solutions. We will examine the economics and business cases driving “Big Data Analytics” projects, and dive into the pros-and-cons of technology options available to your customers.

· Day 1 – Thursday 16th Jan. 2014: Starts 11.0 am – Sales and Executive briefing.

o Networking Dinner in Evening

· Day 2 – Friday 17th Jan. 2014: Ends 4.0 pm – Deeper dive technical discussions.

Register Now Here

Monday Oct 28, 2013

Oracle Big Data Software Downloads

Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information.

Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships.  The Big Data Connector software can run on any supported hardware, e.g. the Linux based Sun X4-2 servers you can find on the Oracle Store: this software is not restricted to only the Oracle Big Data Appliance (although on the Big Data Appliance, we do include ODI - restricted to BDA Hadoop sources - for no extra license fee).

Oracle Big Data Connectors Downloads here, includes:

  • Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0

  • Oracle Loader for Hadoop Release 2.1.0

  • Oracle Data Integrator Companion 11g

  • Oracle R Connector for Hadoop v 2.1

Oracle Big Data Documentation

The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships.

Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB)

Integrated Software and Big Data Connectors User's Guide HTML PDF


Oracle Data Integrator (ODI) Application Adapter for Hadoop

Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs.

Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities:

  • Loading data into Hadoop from the local file system and HDFS

  • Performing validation and transformation of data within Hadoop

  • Loading processed data from Hadoop to an Oracle database for further processing and generating reports


Oracle Database Loader for Hadoop

Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance.


Oracle R Connector for Hadoop

Oracle R Connector for Hadoop is a collection of R packages that provide:

  • Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables

  • Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files

  • You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as:

    • Access and transform HDFS data using a Hive-enabled transparency layer

    • Use the R language for writing mappers and reducers

    • Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases

    • Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations


Oracle SQL Connector for Hadoop Distributed File System

Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats:

  • Data Pump files in HDFS

  • Delimited text files in HDFS

  • Hive tables

For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS.


Related Documentation

  • Cloudera's Distribution Including Apache Hadoop Library HTML

  • Oracle R Enterprise HTML

  • Oracle NoSQL Database HTML


Recent Blog Posts



Monday Jul 22, 2013

Derive Business Value from Big Data Analytics

Take a look at the new coverage for Big Data Analytics on the Oracle.com site:


Hidden in all the new volumes and varieties of big data is the information your client’s need to grow revenue, cut costs, and innovate. Big data can transform your business, but you have to uncover that new insight with Big Data Analytics.

Thursday Jun 27, 2013

Advanced Exalytics, Endeca and OBI Training for Partners

In Sweden and in Saudi Arabia there will be the next set of hands-on advanced Exalytics, Endeca and OBI Training workshops for Partners: partners from any country may attend these.

These are free of charge to OPN Specialised member partners, but are subject to availability (please do not attend unless you have received a confirmation from Oracle to do so). Check the workshop agendas and pre-requisites, and register from the links below:

  1. Exalytics and Business Intelligence Hands-on Workshop (3-days)

  2. Endeca Information Discovery Hands-on Workshop (3-days)

  3. Advanced Oracle Business Intelligence Hands-on Workshop (3-days)

Thursday Apr 25, 2013

How much faster is the Oracle R implementation compared to “Normal” R ?

For those of you just getting interested in “Advanced Analytics”, you may still be wondering “What is R ?”… R is an open-source language and environment for statistical computing and data visualization: and it works with OBI to enrich the graphics and predictive capabilities: see here a quick preview on YouTube.

It is being taught in colleges and universities in courses on statistics and advanced analytics – often in preference to more traditional statistical software tools – and so skills in R are readily available among younger graduates.

For you experts in the field who use R anyway, the key question is why use “Oracle’s version” ?

The tight integration between R, Oracle Database 11g, and Hadoop enables R users to write one R script that can run in three different environments: a laptop running open source R, Hadoop running with Oracle Big Data Connectors, and Oracle Database 11g.

For large analyses on large Oracle data-sets, it is much faster and easier to do this “inside” the database, than exporting the data into another specialised external data format.  Some of the benchmarks below, show 4x ~ 20x + faster for various operations, and even 100x + for some data scoring algorithms.

For Oracle Advanced Analytics Option, Oracle R Enterprise in-DB functionality, the performance gains come through the R-to-SQL transparency layer for native SQL performance and the OAA/ORE “mapping” to the OAA/Oracle Data Mining SQL based hi-performance data mining algorithms and statistical functions that are native in-DB parallelized implementations of the algorithms. 

Also, besides the simpler and more scalable architecture, the majority of the performance gains stem from eliminating the extract, mine, apply models, import outer loop which can take weeks to months, largely due to “human time” sinks to manually translate the data transformations and model logic to native SQL for in-DB deployment.  That conversion process is tedious, time consuming and error prone.  The OAA in-DB performance therefore cuts that latency time down to secs / mins / hours.

Wednesday Aug 29, 2012

R Statistical Analytics with Faster Performance for Enterprise Database Access and Big Data

Further demonstrating commitment to the open source community, Oracle has just released enhanced support of the R statistical programming language for Oracle Solaris and AIX in addition to Linux and Windows, connectivity to Oracle TimesTen In-Memory Database in addition to Oracle Database, and integration of hardware-specific Math libraries for faster performance.  Oracle’s Open Source distribution of R is available with the Oracle Big Data Appliance and available for download now.

Oracle also offers Oracle R Enterprise, a component of Oracle Advanced Analytics that enables R processing on Oracle Database servers.   This all goes to make big data analytics more accessible in the enterprise and improving data scientist productivity with faster performance

Since its introduction in 1995, R has attracted more than two million users and is widely used today for developing statistical applications that analyze big data.

Analyst Report: Oracle Advances its Advanced Analytics Strategy

 

Tuesday Apr 24, 2012

INVITATION TO EMEA ORACLE BI & EPM PARTNER FORUM June 2012

19TH JUNE, 2012, ISTANBUL, TURKEY

This is your key annual event here in Europe to get the latest from Oracle to propel your business growth in Business Intelligence and Enterprise Performance Management. This event should appeal to BI or EPM specialised Partners, Executives, Sales, Pre-sales and Solution architects: with a choice of participation in the plenary day and then a set of special interest sessions.

The follow on breakout sessions on the 20th, 21st and 22nd June provide deeper dives and technical training for those of you who wish to stay for intensive sales, pre-sales and hands-on workshops.  During this event you can learn about partner success stories, participate in an array of break-out sessions, exchange information with other partners and enjoy a vibrant panel discussion.

Keynotes: Rich Clayton, VP BI&EPM Strategy,  & Balaji Yelamanchili, VP BI&EPM Development

  • Agile BI: Beyond the Data Warehouse
  • Performance Management Beyond Finance
  • In-Memory Analytics
  • Advanced Analytics and Big Data

Session guide :

June 19th  : Day 1

Main Plenary Session : Full day, starting 9.0 am. 

   Cocktails and Dinner in the Evening

June 20th  : Day 2

OBI Sales Workshop

starting 9.0 am

Hyperion EPM Sales Workshop

starting 9.0 am

Exalytics Technical Training

starting 9.0 am

ENDECA Agile Information Discovery Technical Training

starting 9.0 am

Plenary Session: Keynote - BI & EPM Product Development Roadmap, 16.00 pm -  17.15

June 21st  : Day 3

Hyperion V 11.1.2.2 Technical Update 

starting 9.0 am

Advanced Analytics Technical Training

starting 9.0 am

Exalytics Technical Training

starting 9.0 am

ENDECA Agile Information Discovery Technical Training

starting 9.0 am

June 22nd   : Day 4

Hyperion V 11.1.2.2 Technical Update

starting 9.0 am

Advanced Analytics Technical Training

starting 9.0 am

Exalytics Technical Training

starting 9.0 am

ENDECA Agile Information Discovery Technical Training

starting 9.0 am

Places are Limited, Register Now!

Registration for the conference, the deeper dives and technical training is free of charge to OPN Partners, but you have to manage your own travel and hotel expenses.  You can find out more information about the conference hotel venue at Sheraton Istanbul Maslak Hotel.

Tuesday Apr 10, 2012

Video Presentation and Demo of Oracle Advanced Analytics & Data Mining

For a video presentation and demonstration of Oracle Advanced Analytics & Data Mining  click here. (This plays a large MP4 file in a browser: access is from Google.docs, and this works best with Google CHROME).

This one hour session focuses primarily on the Oracle Data Mining component of the Oracle Advanced Analytics Option along with Oracle R Enterprise and is tied to the Oracle SQL Developer Days virtual and onsite events and is presented by Oracle’s Director for Advanced Analytics, Charlie Berger, covering:

  • Big Data + Big Data Analytics

  • Competing on analytics & value proposition

  • What is data mining?

  • Typical use cases

  • Oracle Data Mining high performance in-database SQL based data mining functions

  • Exadata "smart scan" scoring

  • Oracle Data Miner GUI (an Extension that ships with SQL Developer)

  • Oracle Business Intelligence EE + Oracle Data Mining results/predictions in dashboards

  • Applications "powered by Oracle Data Mining" for factory installed predictive analytics methodologies

  • Oracle R Enterprise

Please contact charlie.berger@oracle.com should you have any questions. 

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