Big Data Discovery - Rittman Mead

OBIEE, Big Data Discovery, and ODI security updates - October 2016

Oracle release their "Critical Patch Update" (CPU) notices every quarter, bundling together details of vulnerabilities and associated patches across their entire product line. October's was released yesterday [http://www.oracle.com/technetwork/security-advisory/cpuoct2016-2881722.html], with a few entries of note in the analytics & DI

Big Data

Using R with Jupyter Notebooks and Oracle Big Data Discovery

Oracle's Big Data Discovery [https://www.oracle.com/big-data/big-data-discovery/index.html] encompasses a good amount of exploration, transformation, and visualisation capabilities for datasets residing in your organisation’s data reservoir. Even with this though, there may come a time when your data scientists want to unleash their

Technical

Rittman Mead at KScope16

June is the perfect month: summer begins, major football [http://www.uefa.com/uefaeuro/] (andfutbol [http://www.ca2016.com/]) tournaments are in full swing, and of course, KScope16 [http://kscope16.com/] is on! Rittman Mead have participated in many of the past KScope conferences and will continue that tradition this

Big Data

Using Jupyter Notebooks with Big Data Discovery 1.2

New in Big Data Discovery [https://www.oracle.com/big-data/big-data-discovery/index.html] 1.2 is the addition of BDD Shell, an integration point with Python. This exposes the datasets and BDD functionality in a Python and PySpark environment, opening up huge possibilities for advanced data science work on BDD

Big Data

Running Big Data Discovery Shell and Jupyter Notebook on Big Data Lite VM 4.5

New in Big Data Discovery [https://www.oracle.com/big-data/big-data-discovery/index.html] 1.2 is the addition of BDD Shell, an integration point with Python. This exposes the datasets and BDD functionality in a Python and PySpark environment, opening up huge possibilities for advanced data science work on BDD

Big Data

Oracle OpenWorld 2015 Roundup Part 2 : Data Integration, and Big Data (in the Cloud...)

In yesterdays part one of our three-part Oracle Openworld 2015 round-up [https://www.rittmanmead.com/blog/2015/11/oracle-openworld-2015-roundup-part-1-obiee12c-and-data-visualisation-cloud-service/] , we looked at the launch of OBIEE12c just before Openworld itself, and the new Data Visualisation Cloud Service that Thomas Kurian demo’d in his mid-week keynote. In part two we’

Big Data

Taking a Look at Oracle Big Data Preparation Cloud Service - Spark-Based Data Transformation in the Cloud

One of the sessions I’m delivering at the upcoming Oracle Openworld 2015 in San Francisco is entitled "Oracle Business Intelligence Cloud Service—Moving Your Complete BI Platform to the Cloud [UGF4906]”, and looks at how you can now migrate your entire OBIEE11g platform into Oracle Public Cloud including

Big Data

Replicating Hive Data Into Oracle BI Cloud Service for Visual Analyzer using BICS Data Sync

In yesterday’s post on using Oracle Big Data Discovery with Oracle Visual Analyzer in Oracle BI Cloud Service [https://www.rittmanmead.com/blog/2015/06/combining-oracle-big-data-discovery-and-oracle-visual-analyzer-on-bics/] , I said mid-way through the article that I had to copy the Hadoop data into BI Cloud Service so that Visual Analyzer could

Big Data

Combining Oracle Big Data Discovery and Oracle Visual Analyzer on BICS

So now that Oracle Visual Analyzer is out as part of Oracle BI Cloud Service [https://www.rittmanmead.com/blog/2015/06/new-in-oracle-bi-cloud-service-oracle-visual-analyzer-and-data-mashups-in-va/] , and Visual Analyzer (VA) is due to ship on-premise as part of OBIEE12c sometime in the next twelve months, several of our customers have asked us if

Technical

New Oracle Big Data Quick-Start Packages from Rittman Mead

Many organisations using Oracle’s business intelligence and data warehousing tools are now looking to extend their capabilities using “big data” technologies. Customers running their data warehouses on Oracle Databases are now looking to use Hadoop to extend their storage capacity whilst offloading initial data loading and ETL to this

Technical

Introducing Oracle Big Data Discovery Part 2: Data Transformation, Wrangling and Exploration

In yesterday’s post I looked at Oracle Big Data Discovery and how it brought the search and analytic capabilities of Endeca to Hadoop [https://www.rittmanmead.com/blog/2015/02/introducing-oracle-big-data-discovery-part-1-the-visual-face-of-hadoop/] . We looked at how the Oracle Endeca Information Discovery Studio application works with a version of the Endeca

Technical

Introducing Oracle Big Data Discovery Part 1: "The Visual Face of Hadoop"

Oracle Big Data Discovery [https://www.oracle.com/bigdata/big-data-discovery/index.html] was released last week, the latest addition to Oracle's big data tools suite that includes Oracle Big Data SQL [http://www.rittmanmead.com/tag/big-data-sql/], ODI and it’s Hadoop capabilities [https://www.rittmanmead.com/blog/