To download this paper click on: Double Buffered Page Caching with inCache
Double Buffered Page Caching with inCache in WebCenter Sites 11gR1
I am pleased to announce the availability of a new whitepaper on Oracle Maximum Availability Architecture, titled “Oracle Commerce MAA With a Case Study on Exadata and Exalogic”. As the name suggests this paper is Oracle’s best practices blueprint based on proven Oracle high availability technologies and recommendations. The goal of MAA is to achieve the optimal high availability architecture at the lowest cost and complexity.
Whitepaper download link: oracle-commerce-maa
Last week I posted an article on the blog around analysing Twitter data using Datasift, MongoDB and Pig, where I used the Datasift service to stream tweets about Rittman Mead into a MongoDB NoSQL database, and then queried the dataset using Pig.
If you followed our recent postings on the updated Oracle Information Management Reference Architecture, one of the key concepts we talk about is the “data reservoir”. This is a pool of additional data that you can add to your data warehouse, typically stored on Hadoop or NoSQL databases, where you store unstructured, semi-structured or unprocessed structured data in large volume and at low cost.
I previously blogged on how to create a variable JDBC IN list with Oracle. Here is how you would do it with Pivotal Greenplum. Much easier , without having to write a function. In the Greenplum demo below we use the any function combined with string_to_array
Code as follows
Pivotal GemFire 8.0 now includes REST support. You can read more about it as follows
Here is how we set it up and some quick examples showing how it works with some Region data
In the example below I have PDX setup for the cache servers as shown below.
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I got a few questions from people why the ADF EMG Audit Rules are not available in JDeveloper 12.1.3. So there has been a new release of the ADF EMG Audit Rules. No new functionality is implemented this time, but the extension is now available for JDeveloper 12.1.3.
We mean what we say. We don't mix words. We don't spin words. It's plain and simple, the data is yours. The data about who bought what, who watched what, who owns which products, etc. - it's all yours...not ours. We can't send your customers an email (unless it's from you telling them thank you for their purchase or upselling them). We can't sell your data to others. If you want your data, we'll send you your data. There are no strings attached.