Over the past couple of years Rittman Mead have been broadening our skills and competencies out from core OBIEE, ODI and Oracle data warehousing into the new “emerging” analytic platforms: R and database advanced analytics, Hadoop, cloud and clustered/distributed systems. As we talked about in the recent series of updated Oracle Information Management Reference Architecture blog posts and my initial look at the Oracle Big Data SQL product, our customers are increasingly looking to (more...)
Rittman Mead are proud to announce that we’ve been nominated by UKOUG members and Oracle customers for five categories in the upcoming UKOUG Parter of the Year Awards 2014; Business Intelligence, Training, Managed Services, Operating Systems Storage and Hardware, and Emerging Partner, reflecting the range of products and services we now offer for customers in the UK and around the world.
Although Rittman Mead are a worldwide organisation with offices in the US, India, Australia (more...)
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...)
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...)
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...)