Wednesday Aug 19, 2015

Oracle Big Data Discovery Version 1.1

August 29th at 10 a.m. Pacific USA time – Partners and customers can join our webcast with Cloudera, Unlock Your Analytic Talent with the Visual Face of Hadoop

Oracle Big Data Discovery version 1.1 is now available. This release extends Oracle’s innovation in Big Data Analytics by bringing together the best open-source and Oracle technologies, enabling you to reach more of the market and address more of your clients’ analytics challenges.

  • Big Data Discovery now runs on Hortonworks HDP 2.2.4+, in addition to Cloudera CDH 5.3+.  That makes BDD the first Spark-based big data analytics product to run on the top two Hadoop distributions, significantly expanding your market opportunity.
  • Customers can now access enterprise data sources via JDBC, making it easy to mash up trusted corporate data with big data in Hadoop.  BDD 1.1 elegantly handles changes across all this data, enabling full refreshes, incremental updates, and easy sample expansions.  All data is live, which means changes are reflected automatically in visualizations, transformations, enrichments, and joins.
  • Dynamic visualizations fuel discovery – but no product can include every visualization out-of-the-box.  This release includes a custom visualization framework that allows customers and partners to create and publish any visual and have it behave like it is native to BDD.  Combined with new visualizations and simpler configuration, this streamlines the creation of discovery dashboards and rich, reusable discovery applications.
  • Big Data Discovery is unique in allowing partners and customers to find, explore, transform, and analyze big data all within a single product.  This release significantly extends BDD Transform, making it both easier and more powerful.  New UIs make it easy to derive structure from messy Hadoop sources, guiding users through common functions, like extracting entities and locations, without writing code.  Transformation scripts can be shared and published, driving collaboration, and scripts can be scheduled, automating enrichment.  Transform also includes a redesigned custom transformation experience and the ability to call external functions (such as R scripts), providing increased support for sophisticated users. 
  • BDD 1.1 supports Kerberos for authentication (both MIT and Microsoft versions); enabling authorization via Studio (including integration with LDAP) to support Single Sign-on (SSO); and providing security at both project and dataset levels.   These options allow customers to leverage their existing security and extend fine-grained control to big data analytics, ensuring people see exactly what they should.

Also see “Big Data Discovery” Hosted Demonstration Instances for Partners.

And if you wish to deep dive into Spark (although to use BDD, this is not needed), I suggest you check out the Cloudera Developer Training for Apache Spark.

Tuesday Aug 04, 2015

BI, EPM & Big Data in Focus August 2015

Customers

Enterprise Performance Management

Big Data and Business Intelligence

Monday Jul 20, 2015

“Big Data Discovery” Hosted Demonstration Instances for Partners

Partners can now access Oracle Big Data Lite with Big Data Discovery on the Oracle hosted “GSE” system (Global Sales Engineering) @ https://demo.oracle.com

If you are familiar with the Big Data Lite 4.2 virtual machine, we have taken that and hosted it in GSE, and added Big Data Discovery 1.0 as well. Therefore this demo platform provides an integrated environment to help you get started with the Oracle Big Data platform components – including Oracle Big Data Discovery, Cloudera, Oracle NoSQL, Oracle Big Data Connectors, Oracle Data Integrator, and many more. The demo is hosted and with internet facing access allows you to easily customize your demo: although you can only make bookings for this demo instance on a temporary basis.

However, prior to making a request, a partner must register with GSE for access to the demo systems as previously explained here at Demonstration Systems for Partners.

In summary, OPN Member Partners can Learn more and Apply for Access to GSE ( ... and follow the link CLICK HERE for On Premise Demonstration Environments ), and once approved, can access the link to book and run “On Premise” Big Data, OBI and BICS cloud demos @ https://demo.oracle.com.

Wednesday Jul 15, 2015

OBI11g Analyses Hadoop data directly (without ETL) using Oracle Big Data SQL

You may have noticed that OBI can now analyse Hadoop data directly (without ETL) using Oracle Big Data SQL for Data Access (or Cloudera’s Impala), and can easily join it with other OBI data sources onto one dashboard. To find out more you can review the Big Data documentation below, and try it for yourself by downloading the Demonstration VM for OBI 11g SampleApp v506 including Cloudera and Big Data SQL.

Oracle Big Data Appliance Software User's Guide

1 Introducing Oracle Big Data Appliance

2 Administering Oracle Big Data Appliance

3 Supporting User Access to Oracle Big Data Appliance

4 Configuring Oracle Exadata Database Machine for Use with Oracle Big Data Appliance

5 Optimizing MapReduce Jobs Using Perfect Balance

6 Using Oracle Big Data SQL for Data Access

7 Oracle Big Data SQL Reference

Essentially, Oracle Big Data SQL accesses Hadoop via external tables to:

  • ORACLE_HIVE: Enables you to create Oracle external tables over Apache Hive data sources. Use this access driver when you already have Hive tables defined for your HDFS data sources. ORACLE_HIVE can also access data stored in other locations, such as HBase, that have Hive tables defined for them. The DBMS_HADOOP PL/SQL package contains a function named CREATE_EXTDDL_FOR_HIVE. It returns the data dictionary language (DDL) to create an external table for accessing a Hive table.
  • ORACLE_HDFS: Enables you to create Oracle external tables directly over files stored in HDFS. This access driver uses Hive syntax to describe a data source, assigning default column names of COL_1, COL_2, and so forth. You do not need to create a Hive table manually as a separate step: you can just define the record format of text data, or you can specify a SerDe for a particular data format.

External tables do not have traditional indexes, so that queries against them typically require a full table scan. However, Oracle Big Data SQL extends SmartScan capabilities, such as filter-predicate offloads, to Oracle external tables with the installation of Exadata storage server software onto an Oracle Big Data Appliance. This technology enables the Oracle Big Data Appliance to discard a huge portion of irrelevant data—often up to 99 percent of the total—and return much smaller result sets to the Oracle Exadata Database Machine. Therefore, End users obtain the results of their queries significantly faster, as the direct result of a reduced load on Oracle Database and reduced traffic on the network.

Note that alternatively, and similarly, Oracle SQL Connector for HDFS provides access to Hadoop data for all Oracle Big Data Appliance racks, including those that are not connected to Oracle Exadata Database Machine. However, it does not offer the performance benefits of Oracle Big Data SQL: see Oracle Big Data Connectors User's Guide.

Thursday Jul 09, 2015

BI, EPM & Big Data in Focus July 2015

Customers

Enterprise Performance Management

Big Data and Business Intelligence

Download Demonstration VM for OBI 11g SampleApp v506 with Big Data

The OBIEE SampleApp v506 virtual box appliance is now available for public download by customers and partners. The image and deployment documentation can be downloaded from OTN at the OBIEE SampleApp page.

The v506 image content demonstrates capabilities of the v11.1.1.9 OBIEE stack, Oracle DB In-Memory and v12.1.0.2 database and several other OBIEE functional integrations, such as OBI accessing Hadoop data (Cloudera CDH 5.1.2) via both Impala and Big Data SQL.

  • A “What’s-new” pdf is available here for an overview of new content on v506
  • This YouTube playlist here includes a few view-lets about major new content areas
  • NOTE: You need 130 Gb of free disk to install and 16Gb of RAM to use this SampleApp v506 

    Tuesday Jun 16, 2015

    Big Data Spatial and Graph Analytics for Hadoop

    We have just added Oracle Big Data Spatial and Graph support for Hadoop and NoSQL database technologies.  For over a decade, Oracle has offered leading spatial and graph analytic technology for the Oracle Database: we have now applied this expertise to work with social network data and to exploit Big Data architectures.  

    Oracle Big Data Spatial and Graph includes two main components:

    1. A distributed property graph database with 35 built-in graph analytics to discover graph patterns in big data, such as communities and influencers within a social graph
    2. A wide range of spatial analysis functions and services to evaluate data based on how near or far something is to one another, or whether something falls within a boundary or region

    Property Graph Data Management and Analysis

    Property graphs are commonly used to model and analyze relationships, such as communities, influencers and recommendations, and other patterns found in social networks, cyber security, utilities and telecommunications, life sciences and clinical data, and knowledge networks.  

    Property graphs model the real-world as networks of linked data comprising vertices (entities), edges (relationships), and properties (attributes) for both. Property graphs are flexible and easy to evolve; metadata is stored as part of the graph and new relationships are added by simply adding an edge.

    Oracle Big Data Graph provides an industry leading property graph capability on Apache HBase and Oracle NoSQL Database with a Groovy-based console; parallel bulk load from common graph file formats; text indexing and search; querying graphs in database and in memory; ease of development with open source Java APIs and popular scripting languages; and an in-memory, parallel, multi-user, graph analytics engine with 35 standard graph analytics.

    Spatial Analysis and Services – Enrich and Categorize Your Big Data with Location

    With the spatial capabilities, users can take data with any location information, enrich it, and use it to harmonize their data.  For example, Oracle Big Data Spatial can look at datasets like Twitter feeds that include a zip code or street address, and add or update city, state, and country information. These results can be visualized on a map with the included HTML5-based web mapping tool.  Location can be used as a universal key across disparate data commonly found in Hadoop-based analytic solutions. 

    “Big Data systems are increasingly being used to process large volumes of data from a wide variety of sources. With the introduction of Oracle Big Data Spatial and Graph, Hadoop users will be able to enrich data based on location and use this to harmonize data for further correlation, categorization and analysis. For traditional geospatial workloads, it will provide value-added spatial processing and allow us to support customers with large vector and raster data sets on Hadoop systems.” - Steve Pierce, CEO, Think Huddle

    Your Spatial & Graph specialist contact in EMEA is Hans Viehmann (hans.viehmann@oracle.com).

    You can attend a live web-conference on Spatial & Graph on Tuesday, July 21st at 6:00 PM UK / 7:00 PM CET

    Tuesday May 19, 2015

    OBI 11g Release 11.1.1.9 Now Available

    This new release of Oracle Business Intelligence v.11.1.1.9, includes a number of new features and a focus on overall quality improvement. Significant new features and enhancements include:

    Expanded Data Source Support, including support for Cloudera Impala and Hive2.  Users can also access information directly from their Hyperion Planning applications to build and deliver analytical content with OBI. Integration with the Oracle 12c database has been enhanced with support for compression, Exadata Hybrid Columnar Compression (EHCC), and in-memory Oracle database features.

    Improved User Experience, including a new Tree Map visualization. Subject area search makes it easier to locate elements to add to an analysis. Users can now save and re-use custom column definitions.  More options are available to users when exporting content.  Customers can now take advantage of HTML5 for rendering charts.

    New Capabilities for Exalytics, including support for count distinct aggregations.  Aggregations for levels with non-unique level keys, ragged and skip level hierarchies, and time levels with no chronological keys are also supported.  A new Summary Advisor command line utility is available to assist with scripting maintenance tasks.

    New Capabilities for Administration, including Mobile App Designer installed by default.  A database policy store is available for security administration.

    BI Publisher Integration with WebCenter Content: This integration will enable customers to deliver BI Publisher output directly to WebCenter Content.

    More information:

    Monday May 18, 2015

    Cloudera is Hadoop Market Leader

    Have you connected with Cloudera ? – are you one of their partners yet, because this is a win-win for us all.

    Join us for a live Oracle & Cloudera webcast on Friday, May 29 – 10.0 am UK / 11.0 am CET - Rapidly Unlock the Value of Big Data for your Organisation

    Oracle has a close partnership with Cloudera in that we resell their Hadoop version on our engineered platform, the Big Data Appliance. Additionally we obviously therefore target our big data software stack (e.g. Big Data Discovery, Big Data SQL, Connectors, ODI, ...) to run on Cloudera, as well as on Apache Hadoop and some of the other vendors.

    If you had not noticed yet, Hadoop is growing really fast, and Cloudera has the lion’s share of this market: e.g. read this analyst report, saying:

    “According to Cloudera’s CEO, Tom Reilly, Cloudera’s strategic decision to provide proprietary solutions in an open-source market paid off when Cloudera earned more than $100 million in revenues in 2014, which is more than double the revenues of Hortonworks and MapR.”

    You may also have noticed that Intel announced a substantial equity investment in Cloudera ($740 million): and Intel works closely with Oracle on our engineered platforms, including the Big Data Appliance.

    Training your people in Hadoop is critical to our combined success in this market, and Cloudera leads the market in high quality Hadoop courses, plus see the Cloudera Product Webinars tutorials and Training Webinars. Oracle will of course invest in training our partners on our specific product offerings for Big Data, but for a generic understanding of the base platform, I suggest you plug into Cloudera’s education programmes. They also have a certification programme so you can Become a Cloudera Certified Big Data Professional.

    If you need an introduction, please contact me (Mike.Hallett@Oracle.com ) or Cloudera’s EMEA Partner Director, Jonathan Cooper @ jcooper@cloudera.com.

    Wednesday May 13, 2015

    Information Management & Big Data Architecture Masterclass

    Jun 17 - 10:00 am - 4:00 pm in London UK.

    Get more information and to Register here: FREE of charge to OPN member Partners from any country.

    Join our Information Management & Big Data Architecture Masterclass on 17th June 2015 where you'll learn how Oracle's information management approach can address business and IT issues in a timely, pragmatic and reliable way. Following great success of previous Master Classes on this subject, your presenters will follow a "free format" agenda using Whiteboards rather than formal presentations to allow as much interaction with you as possible.

    Learn about the Big picture of information management, Staging and techniques for loading data, OLAP and Data Mining, Approaches to data modelling, Build vs buy, BI delivery, Operationalising BI, Security, ELT, ETL and data flows, Big Data, Performance, and Migrating to the reference architecture (customer examples).

    Thursday Apr 02, 2015

    Data Integration Platforms for Big Data

    Download, and share with your clients, this recent 2015 DAO Research Paper: Data Integration Platforms for Big Data and the Enterprise which offers customer perspectives on IBM, Informatica, and Oracle solutions.

    As it points out, “As an ODI developer, I am a Big Data developer without having to understand the underpinnings of Big Data. That is a pretty powerful capability.” And “some differences in the offerings of IBM and Informatica as compared to those of Oracle are fundamental.” For example, “Customers cited 30% to 60% greater developer productivity using Oracle versus traditional Extract-Transform-Load (ETL) tools from Informatica and IBM, based on key architectural differences...”

    And if you deploy ODI (Oracle Data Integrator) on the Oracle BDA (Big Data Appliance) with the Oracle Big Data Connectors, this is likely to be a far lower cost software plus hardware solution for high volume, high speed ETL as compared to these other solutions.

    Also check out this new ability to use Oracle GoldenGate on Hadoop for Big Data for real-time transactional data streaming into big data systems from most common RDBS and other data sources.

    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:

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