Training Oracle ADF 11g, 15 tot en met 19 april
0Van 15 tot en met 19 april geeft Luc Bors de 5-daagse ADF 11g training op het kantoor van AMIS in Nieuwegein. In 5 dagen leer je de basis van Oracle ADF 11g. De training bestaat basis uit presentatie, demonstratie en hands on, doorspekt met best practices en voorbeelden uit de dagelijkse praktijk. Schrijf snel in via deze link.
AYTS: Summary of Access Management session
0Recently started the Oracle program: Are You The Smartest. For me it is an opportunity to test my current knowledge level and to extend my knowledge. After every session I follow, I will write a brief summary as part of the preparation for the test. I will continue with the summary of the following session.
ARCHITECTS TRAINING – SECURITY – Access ManagementThis 1 hour and 52 minutes during session was divided into the following parts:
- Introduction and Background
- Control Access from Anywhere, Anytime
- Providing AM and SSO for Mobile Platforms
- Leveraging Social Networks
- Providing Security for Cloud-based Services
- Sharing information is key – Not only for the humans @ work – Identity Context
- How do I design an architecture for this
- Don‘t ever interrupt me or slow me down! Scale and Availability
This session contains a huge amount of abbreviation, which I have summarized at the end of this post.
Hotsos 2013 – Presentation material “Creating Structure in Unstructured Data”
0Hereby, for those who want another look or for people to share, my presentation content “Creating Structure in Unstructured Data” given during the Hotsos 2013 Symposium on Monday morning.
HTH
Marco
Hotsos 2013 – Creating Structure in Unstructured Data from Marco Gralike
ADF Mobile : Implementing the “Pull to Refresh” Pattern
0One very common pattern in Mobile Apps is the use of “pull” to refresh a list of data in an App.
For one of my projects I suggested to use this pattern and I had to figure out a way to implement this in ADF Mobile. In this post I show you a way to implement this. If you are only interested in the refresh part, you might want to skip the first 5 steps. These explain in short the webservice and the basic ADF Mobile app. From step 6 on I explain how to implement the pattern (more…)
Oracle SQL – Finding free adjacent seats in an airplane, using Subquery Factoring, Analytical Functions (LISTAGG and LEAD), Outer Join, PIVOT and good old INSTR
1Using Oracle SQL to resolve meaningful and slightly less serious challenges is one of my favorite (semi-)professional pastimes. In the last two weeks, I have been presenting on various topics including Oracle SQL to audiences in six cities all across India as part of the OTN Yathra 2013. These presentations and the interaction with the attendees on the various capabilities of SQL have inspired me in several ways. One of the outcomes is this article – also inspired by the fairly long journey home and the many flights within India. In this article I will use several powerful options in Oracle SQL to resolve some simple to ask questions. The SQL functions I am using include:
- Insert with Multiple Subqueries
- Insert generating some random data
- LISTAGG for aggregating strings
- LEAD to produce the result for one row using information from the next
- PIVOT to present the data in a matrix format
The statements are straightforward (relatively), the data model is simple. You will like it.
Out of the box usage of ADF DVT Scheduling Gantt Chart to report Database Query Results using stacked bar charts per time period
0Gantt Charts in ADF are interesting components to visualize data that is organized according to time. The Gantt Charts have a horizontal time axis. In rows along the vertical axis, resources or tasks are displayed. The cells in this time/resource matrix represent information about the resource or the task at some point in time or more specifically: in some time period.
In this recent blog-article, I explained how we can use the Schedule Gantt chart to present results per resource per period using something closely resembling horizontal bar charts. The key thought is that when we present data associated with a standard period, we can use the Gantt Chart’s capability to set the length of the bar to express the size of the value in a specific period. More specifically: we can use the end date property to manipulate the length of the bar. This article we will take this one step further and create a Stacked Bar Chart for each resource for each period. In this case, I will present the number of Employees hired per Department per Year and do so using Stacked Bar Charts with segments per Job. The result – driven directly from SQL query in a read only ViewObject – looks like this:
We can More >
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