Peak Indicators' Talks Received Well At Kscope 17
- 17th July 2017
- Oracle BI - General
- Jamie Morrison
Peak indicators attended the Oracle Developer Tools User Group (ODTUG) Kscope 17 conference for the first time at the end of June; with Antony Heljula and Jamie Morrison making the trip over to San Antonio - Texas.
The ODTUG conference is a developers-specific conference bringing together thousands of Oracle developers with interests in: Database, BI & Reporting, Application Express as well as EPM.
Antony was presenting in ‘Building Your Own Infographics Using the Data Visualisation SDK’. In addition to this he ran a hands on lab. This welcomed delegates to bring along their own laptops to have a try out with Oracle Data Visualisation in his ‘Hands-On Lab: Storyboarding with Oracle Data Visualisation’ session.
If you’d like some more details on Data Viz we have a recent blog article here.
Kscope was Jamies first time presenting at a conference. He presented on ‘Introduction to ADF: Building an Application in 60 Minutes’, where a large proportion of the 1-hour session was demonstrating how to build up an ADF Application using JDeveloper completely from scratch. Both Antony’s and Jamie’s talks were well received by their respective audiences.
The sessions at the beginning of the conference were taken by Oracle product owners. In the BI presentation, Gabby Rubin of Oracle showed off the new Oracle Data Visualization tool as well as the Synopsis mobile app (See our blog article for detail on this by Liam Chapman from earlier in the year).
With 1 hour sessions running from 10am till 6pm each day - in 21 different locations - the Conference provided a huge range of expert content to absorb. It covered topics such as BI & Reporting, Database, Application Express to Data Warehousing and Big Data.
Some of the more interesting topics that caught the eye were ran by our friends at Red Pill Analytics. They talked about how to handle constant data streaming from source systems using Apache Kafka, to then use as a base for traditional Oracle data warehousing, real time analytics and machine learning processes.
Definitely a lot of food for thought for the future of where technology is going and where the Oracle Database and product stack fits in with it.