Mark Rittman - Rittman Mead

OBIEE 12c - Three Months In, What's the Verdict?

I’m over in Redwood Shores, California this week for the BIWA Summit 2016 conference [http://www.ioug.org/p/cm/ld/&fid=992] where I’ll be speaking about BI development on Oracle’s database and big data platforms. As it’s around three months since OBIEE12c came

Technical

Rittman Mead at UKOUG Tech'15 Conference, Birmingham

This week Rittman Mead are very pleased to be presenting at the UK Oracle User Group’s Tech’15 Conference [http://tech15.ukoug.org] in Birmingham, delivering a number of sessions around OBIEE, Data Integration, Cloud and Big Data. If you’re at the event and you see any of

Technical

Oracle OpenWorld 2015 Roundup Part 3 : Oracle 12cR2 Database Sharding, Analytic Views and Essbase 12c

With the UKOUG conference starting tomorrow I thought it about time I finished off my three-part post-OOW 2015 blog series, with a final post on some interesting announcements around Oracle Database and Essbase. As a reminder the other two posts were on OBIEE12c and the new Data Visualisation Cloud Service

Big Data

Rittman Mead and Oracle Big Data Webcast Series - November 2015

We’re running a set of three webcasts together with Oracle on three popular use-cases for big data within an Oracle context - with the first one running tomorrow, November 3rd 2015 15:00 – 16:00 GMT / 16:00 – 17:00 CET on extending the data warehouse using Hadoop and

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’

Technical

Oracle OpenWorld 2015 Roundup Part 1 : OBIEE12c and Data Visualisation Cloud Service

Last week saw Oracle Openworld 2015 [https://www.oracle.com/openworld/index.html] running in San Francisco, USA, with Rittman Mead delivering a number of sessions around BI, data integration, Big Data and cloud [https://www.rittmanmead.com/blog/2015/10/rittman-mead-at-oracle-openworld-2015-san-francisco/]. Several of us took part in Partner Advisory

Oracle Business Intelligence 12c Now Available - Improving Agility and Enabling Self-Service for BI Users

Oracle Business Intelligence 12c became available for download [http://www.oracle.com/technetwork/middleware/bi-enterprise-edition/downloads/business-intelligence-2717951.html] last Friday and is being officially launched at Oracle Openworld next week. Key new features in 12c include an updated and cleaner look-and-feel, Visual Analyser that brings Tableau-style reporting to OBIEE users

Rittman Mead at Oracle Openworld 2015, San Francisco

Oracle Openworld 2015 [https://www.oracle.com/openworld/index.html] is running next week in San Francisco, USA, and Rittman Mead are proud to be delivering a number of sessions over the week of the conference. We’ll also be taking part in a number of panel sessions, user group

News on Three Big Data Webcasts with Oracle, and a Customer Case-Study at Cloudera Sessions

This week I’m presenting along with Liberty Global at the Cloudera Sessions event in Amsterdam [http://go.cloudera.com/Sessions_2015_amsterdam_reg] on October 15th 2015, on their implementation of Cloudera Enterprise on Oracle Big Data Appliance for a number of big data and advanced analytics initiatives around

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

Managing Impala and Other Mixed Workloads on the Oracle Big Data Appliance

One of our current client projects uses Cloudera Impala [http://www.cloudera.com/content/cloudera/en/products-and-services/cdh/impala.html] to provide fast ad-hoc querying to the data we’re loading into their Oracle Big Data Appliance Hadoop environment. Impala bypasses MapReduce to provide faster queries than Hive, but to

Big Data

Oracle Big Data Discovery 1.1 now GA, and Available as part of BigDataLite 4.2.1

The new Oracle Big Data Discovery 1.1 release went GA [https://blogs.oracle.com/proactivesupportEPM/entry/bdd_v11] a couple of weeks ago, and came with a bunch of features that addressed show-stoppers in the original 1.0 release; the ability to refresh and reload datasets from Hive, compatibility

Big Data

Combining Spark Streaming and Data Frames for Near-Real Time Log Analysis & Enrichment

A few months ago I posted an article on the blog around using Apache Spark to analyse activity on our website [https://www.rittmanmead.com/blog/2014/12/going-beyond-mapreduce-for-hadoop-etl-pt-3-introducing-apache-spark/] , using Spark to join the site activity to some reference tables for some one-off analysis. In this article I’ll be

Taking a Closer Look at Knowledge Modules in ODI12c - Component-Style and Multi-Connect KMs

Another question that came up from the ODI12c Bootcamp Course [http://www.rittmanmead.com/training/training-trn405-oracle-data-integrator-12c-bootcamp/] I’m delivering for a client in London at the moment is how to choose between the different knowledge modules that come with ODI12c. What with the choice now between template-style KMs and the

Technical

Using Streams with ODI12c for Oracle-to-Oracle Change Data Capture

Although Oracle GoldenGate replaced Oracle Streams a couple of years ago as the recommended data replication and change data capture technology for Oracle databases, many customers still on Oracle Database 11gR2 or earlier still use Streams for Oracle-to-Oracle change data capture as it works and compared to GoldenGate doesn’t

Technical

Options for Enabling ODI11g+12c Standalone Agents for High-Availability (or ... Why JEE Agents are the Best Option)

A few years ago we posted some articles on the blog around Oracle Data Integrator ETL restartability and resilience [https://www.rittmanmead.com/blog/2013/01/odi-11g-in-the-enterprise-part-5-etl-resilience-and-high-availability/] , and making ODI’s agents highly-availabile [https://www.rittmanmead.com/blog/2012/11/clustering-odi11g-for-high-availability-part-1-introduction-and-architecture/] . The context around those posts was a large data

Big Data

Rittman Mead at ODTUG KScope'15, Hollywood Florida

ODTUG KScope’15 [http://kscope15.com] is running in Hollywood, Florida next week and Rittman Mead are running a number of sessions during the week on OBIEE, Essbase, ODI and Big Data. I’ve personally been attending ODTUG KScope (or “Kaleidoscope”, as it used to be known) for many years

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

Technical

Introducing Rittman Mead's New User Engagement Service

[http://www.rittmanmead.com/wp-content/uploads/2015/06/RMA-UE-Datasheet.pdf] Although you’ve been hearing a lot on the blog recently about extending Oracle BI&DW with Hadoop and big data technologies, another initiative Rittman Mead have been working on over the past couple of months is user engagement.

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 In Oracle BI Cloud Service - Oracle Visual Analyzer, and Data Mashups in VA

Oracle released an update to Oracle BI Cloud Service a few weeks ago that included Oracle Visual Analyzer, along with some other improvements including support for full Oracle Database-as-a-Service as the database backend, the ability to upload RPDs and run them in the cloud, and support for a new utility

Technical

Deploying Oracle BI Mobile HD within Good, Oracle OMSS and Other Secure MDM Containers

A few months ago ODTUG announced their ODTUG Mobile Day in Utrecht, Netherlands [http://www.odtug.com/mobile_day_utrecht] and asked if I’d like to put forward an abstract for a presentation. Something that’s been on my mind for a while is the issues some of our

Technical

New Oracle Magazine article on Oracle BI Cloud Service

The May/June 2015 edition of Oracle Magazine is now out, and my Business Intelligence article in this edition is on Oracle BI Cloud Service (BICS). In “Upload, Model, Analyze and Report” [http://www.oracle.com/technetwork/issue-archive/2015/15-may/o35ba-2541604.html] I focus on the “departmental power-user” use-case where

Big Data

Connecting OBIEE 11.1.1.9 to Hive, HBase and Impala Tables for a DW-Offloading Project

In two previous posts this week I talk about a client request to offload part of their data warehouse top Hadoop, taking data from a source application and loading it into Hive tables on Hadoop for subsequent reporting-on by OBIEE11g. In the first post [https://www.rittmanmead.com/blog/2015/

Loading, Updating and Deleting From HBase Tables using HiveQL and Python

Earlier in the week [https://www.rittmanmead.com/blog/2015/05/using-hbase-impala-dw-offloading/] I blogged about a customer looking to offload part of the data warehouse platform to Hadoop, extracting data from a source system and then incrementally loading data into HBase and Hive before analysing it using OBIEE11g. One of