In the first two posts in this series, we looked at what Oracle Big Data Discovery is and how you can use it to sample, cleanse and then catalog data in your Hadoop-based data reservoir.
The German ADF- (and Forms-) Community released their first book.
In the first post of this series we have seen how to install and configure OEEM to start working with it. In this new post we are going to see how we import the metadata into OEMM from different sources like Oracle Database, OBIEE, ODI and OWB and then relate all of them inside OEMM.
In the previous blogpost we discussed a way to reduce the amount of global variables by using namespaces. Today, we will be looking into a different way to hide functions and variables.
In yesterday’s post I looked at Oracle Big Data Discovery and how it brought the search and analytic capabilities of Endeca to Hadoop.
“Well impressed guys. Well done for getting five interesting topics into the time available. Good session lengths.”
While creating a BPM project simulation in the JDeveloper 12c IDE, I noticed some differences in behavior as opposed to 11g. Although the functionality is mostly unchanged, the UI is different. Most of them are more intuitive, but you might want to check them out and save some time.
Here is how simple Spring Boot makes saying Hello World web based application with no IDE and no no need to package it up. Nearly as easy as NodeJS
1. Firstly install the Spring Boot CLI. From mac use brew as follows
pas@192-168-1-4:~$ brew tap pivotal/tap
Cloning into '/usr/local/Library/Taps/pivotal/homebrew-tap'...
remote: Counting objects: 366, done.
remote: Total 366 (delta 0), reused 0 (delta 0), pack-reused 366
Receiving objects: 100% (366/366), 60.09 KiB | 84.00 KiB/s, done.