Why Oracle Big Data SQL Potentially Solves a Big Issue with Hadoop Security

Oracle announced their Big Data SQL product a couple of weeks ago, which effectively extends Exadata’s query-offloading to Hadoop data sources. I covered the launch a few days afterwards, focusing on how it implements Exadata’s SmartScan on Hive and NoSQL data sources and provides a single metadata catalog over both relational, and Hadoop, data sources. In a Twitter conversation later in the day though, I made the comment that in my opinion, the biggest (more...)

Taking a Look at the New Oracle Big Data SQL

Oracle launched their Oracle Big Data SQL product earlier this week, and it’ll be of interest to anyone who saw our series of posts a few weeks ago about the updated Oracle Information Management Reference Architecture, where Hadoop now sits alongside traditional Oracle data warehouses to provide what’s termed a “data reservoir”. In this type of architecture, Hadoop and its underlying technologies HDFS, Hive and schema-on-read databases provide an extension to the more structured (more...)

Going Beyond the Summary Advisor with TimesTen for Exalytics

I’m over in Seattle at the moment for ODTUG KScope’14, and one of the topics I’m presenting on this week is the use of TimesTen with OBIEE; what I’m going to talk about is taking TimesTen beyond its current use as an in-memory cache for aggregates created by the Summary Advisor, and instead using it to store additional custom aggregates, “hot” data from the source data warehouse, and other custom structures created using SQL*Developer (more...)

Rittman Mead at ODTUG KScope’14, Seattle


Next week is ODTUG KScope’14 in Seattle, USA, and Rittman Mead will be delivering a number of presentations over the week. Coming over from Europe we have Jérôme Françoisse and myself, and we’ll be joined by Michael Rainey, Daniel Adams, Charles Elliott from Rittman Mead in the US. We’re also very pleased to be co-presenting with Nicholas Hurt from IFPI who some of you might know from the Brighton BI Forum this year, who’s talking (more...)

Introducing the Updated Oracle / Rittman Mead Information Management Reference Architecture Pt2. – Delivering the Data Factory

In my previous post on our updated Oracle Information Management Reference Architecture, jointly-developed with Oracle’s Enterprise Architecture team, we went through a conceptual and logical view of the information architecture, introducing new concepts like the Raw Data Reservoir, the Data Factory and the Discovery Lab. I said that the Data Factory, Data Reservoir, Enterprise Information Store and Reporting, together with the Discovery Lab, comprised the Information Platform, which could be used to create data (more...)

Introducing the Updated Oracle / Rittman Mead Information Management Reference Architecture Pt1. Information Architecture and the “Data Factory”

One of the things at Rittman Mead that we’re really interested in, is the architecture of “information management” systems and how these evolve over time as thinking, and product capabilities, evolve. In fact we often collaborate with the Enterprise Architecture team within Oracle, giving input into the architecture designs they come up with, and more recently working on a full-blown collaboration with them to come up with a next-generation Information Management architecture. I these two (more...)