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:

Thursday Mar 20, 2014

Big Data Analytics and EPM Top Trends for 2014

Which information management priorities are at the top of the corporate IT agenda? What are the most compelling developments in big data, analytics, EPM, mobile computing, data warehousing, and cloud computing that motivate IT leaders to undertake new technology initiatives?

Oracle surveyed hundreds of IT decision makers to learn about their big data and analytics plans for 2014—both within the Oracle customer base and the industry at large. Respondents provided specific feedback on mobile BI, cloud, Hadoop, data discovery, predictive analytics, and decision optimization technologies and practices. From this extensive data set we compiled the following trends:

  • Trend 1: Business Users Get Hooked on Mobile Analytics
  • Trend 2: Analytics Take to the Cloud
  • Trend 3: Hadoop-Based Data Reservoirs Unite with Data Warehouses
  • Trend 4: New Skills Bolster Big Data Investments
  • Trend 5: Big Data Discovery is the Secret to Workforce Success for HCM
  • Trend 6: Predictive Analytics Lend Fresh Insight into Big Data Strategies
  • Trend 7: Predictive Analytics Bring New Insight to Old Business Processes
  • Trend 8: Decision Optimization Technologies Enhance Human Intuition
  • Trend 9: Business Leaders Embrace Packaged Analytics
  • Trend 10: New Skills Launch New Horizons of Analysis

Download the full Big Data and Analytic Report to learn about the trends, problems, and breakthroughs in big data and analytics in more detail, and also for a bit of advice to get the most from your investments.

Similarly download the Enterprise Performance Management Top Trends for 2014 Report for more detail on:

  • Trend 1: EPM Cloud Strategies Gain Altitude
  • Trend 2: Don’t Leave Mobile Behind
  • Trend 3: Big Data is the New Signal for Finance
  • Trend 4: Detailed Costing Practices Here to Stay
  • Trend 5: Squeeze Financial Close Cycles Even Tighter, with an Eye to the Virtual Close
  • Trend 6: Financial Disclosure Complexity Continues to Rise
  • Trend 7: Enterprise Data Governance Booms in 2014
  • Trend 8: Sustainability Reporting Becomes the Norm

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

Monday Feb 03, 2014

Demonstration VM “BigDataLite 2.4.1” Available on OTN

The Demonstration VM “BigDataLite 2.4.1” is now available for download from OTN.  Now, customers and partners can have easy access to many of our big data software products - all configured in an integrated VirtualBox environment.

“BigDataLite” is an Oracle VM VirtualBox that contains many key components of Oracle's big data platform, including:

  • Cloudera Distribution including Apache Hadoop
  • Oracle Database 12c Enterprise Edition
  • Oracle Advanced Analytics and "R"
  • Oracle Data Integrator 12c, Oracle Big Data Connectors
  • Oracle NoSQL Database, and more....

It's been configured to run on at least two cores and about +5Gb memory (so this means that your computer should have at least 8Gb total memory). With BigDataLite, you can develop your big data applications and then deploy them to any compatible hardware including the Oracle Big Data Appliance.

To expand this demonstration platform to include OBI and Endeca, you then also download these VMs and inter-connect them. For this you will likely need +16Gb of RAM and at least 4 cores to get them all running. This is targeted at “BIG data analytics”, so giving this integrated platform set +32Gb of RAM and more cores will help you to show it in its’ best light.

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.

Friday Jul 05, 2013

Oracle Real-Time Decisions Review by James Taylor

Take a look at this new seven minute video on RTD recorded with James Taylor (the leading independent analyst of http://jtonedm.com/ ) explaining decision management and the links to big data analytics and “CX” Customer Experience.  He also provides his view on Oracle RTD. 

Monday May 20, 2013

Information Management and Big Data Master-class Webcasts

Watch this great series of 5-minute webcasts to get a good insight into our best practice Information Management and Big Data Reference Architecture.

To view these webcasts, please click here:

  • IM Master Class 1: Architecting the Central Nervous System
  • IM Master Class 2: An Overview of Information Management Components
  • IM Master Class 3: Considerations for Information Sources
  • IM Master Class 4: Architecting a Foundation Layer
  • IM Master Class 5: Considerations for Access and Performance
  • IM Master Class 6: Information Access
  • IM Master Class 7: The Power of Abstraction and Federation
  • IM Master Class 8: Feedback Loops: Information as a Service
  • IM Master Class 9: Securing the Information Management Provision
  • IM Master Class 10: Real-World Examples of IM Architecture
  • IM Master Class 11: Big Data
  • IM Master Class 12: Architecting Big Data

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.

Thursday Feb 21, 2013

Information Management and Big Data Reference Architecture

This is essential reading for all Oracle Analytics partners, and something you can share with your customers. Here is the latest February 2013 version of the “Information Management and Big Data Reference Architecture” Oracle White Paper from our Doug Cackett and Andrew Bond.

“In our original white paper on Information Management Reference Architecture we described how information was at the heart of every successful, profitable and transparent business in the world – something that’s as true today as it was then.

What has changed in the last few years is the emergence of “Big Data”, both as a means of managing the vast volumes of unstructured and semi-structured data stored but not exploited in many organizations, as well as the potential to tap into new sources of insight such as social-media web sites to gain a market edge.

There is a pressing need for organizations to align analytical and execution capabilities with ‘Big Data’ in order to fully benefit from the additional insight that can be gained. Received wisdom suggests that more than 80% of current IT budgets is consumed just keeping the lights on rather than enabling business to innovate or differentiate themselves in the market. Economic realities are squeezing budgets still further. For organizations looking to add some element of Big Data to their IT portfolio, they will need to do so in a way that complements existing solutions and does not add to the cost burden in years to come.”

Friday Nov 02, 2012

Drive Innovation from Data with Oracle Business Analytics

Oracle is doing a big marketing push on the transformational value of Business Analytics to our customers, and we hope you as partners can get excited, involved and more business from this campaign.  Work with your local in-country BI business development manager and your partner channel manager: if you want to contribute and are struggling to make contact, then let me know (Mike.Hallett@Oracle.com) and I will facilitate introductions.

Oracle Day Business Analytics Track
Invite your customers to register for their local Oracle Day to get the latest news from OpenWorld and learn about Oracle's Big Data strategy and solution. There is a dedicated Business Analytics track.

Business Analytics Facebook Hub
Encourage your customers to "Like" the Business Analytics Facebook Page @
www.facebook.com/OracleBusinessAnalytics so they can receive useful and interesting information on their Facebook wall.

Monday Sep 10, 2012

Unlock the Value of Big Data

Partners should read this comprehensive new e-book to get advice from Oracle and industry leaders on how you can use big data to generate new business insights and make better decisions for your customers.

“Big data represents an opportunity averaging 14% of current revenue.” —From the Oracle big data e-book, Meeting the Challenge of Big Data

You’ll gain instant access to:

  • Straightforward approaches for acquiring, organizing, and analyzing data
  • Architectures and tools needed to integrate new data with your existing investments
  • Survey data revealing how leading companies are using big data, so you can benchmark your progress
  • Expert resources such as white papers, analyst videos, 3-D demos, and more

If you want to be ready for the data deluge, Meeting the Challenge of Big Data is a must-read.

Register today for the e-book and read it on your computer or Apple iPad.

 

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

 

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