The value of any system can be measured by how often you interact with it. The perfect example is Slack, which is now seen as the most successful collaboration app ever and is valued at $1.2bn. The key metric for this is DAU/MAU (the ratio of daily users over monthly users), which scales from 0 (no visits) to 1 (every user visits daily) based on how active your users are.
A lot of new annotations have been introduced since the JEE6 spec. Before we had EJBs and servlets to cover most of our server-side objects in a JEE application. But in JEE6, CDI and JAX-RS have been added, along with a few other JSRs that are implemented using annotations. This results in a long list of annotations, where – in my opinion – it is not always clear which one to use, nor to understand how they work together.
In this blog, I would like to show you how EJB and CDI work or don’t work together, in combination with a JAX-RS Resource.
Once again I am not going to go into too much detail because I have covered it all before and you can read about it in the following blogs:
InfoCaptor now officially works with Cloudera’s Hadoop distribution and specifically with Hive and Impala.
Once you get connected to either Impala or Hive you can perform drag and drop visualization just like with any other data source.
InfoCaptor adds native Impala and Hive functionality within the Visualizer so you can leverage Date/time functions for date hierarchy visualizations.
Read the details about InfoCaptor does big data with Impala and Hive
Oracle Process Cloud Service is Oracle’s rapid process automation in the Cloud. It is more or less BPM in the cloud. This service allows you to quickly and easily create business processes like you are used to with Oracle BPM, only now in the cloud. In this post I’ll give a quick tour of this service.
So let’s start with the Process Cloud Service. The landing page already gives you loads of features.
Transaction system has several places to capture the decisions and has several places to capture the business rules. These are the potential places where the data mining scoring engine can be deployed. Here are typical “decisions” captured in the enterprise apps I can think of: Marketing Marketing Strategy and Planning 4 Ps are the decisions […]