Mark Townsend, Database Product Manager at Oracle gave a presentation on Big Data at the UKOUG conference and used the following videos to illustrate how a company can evolve their Big Data into useful and meaningful information.
Big Data – Gold Mine or just Stuff
Today (Monday 5th Dec) is the first day of the UKOUG Conference in Birmingham.
Tonight we have the Focus Pubs session starting at 8:45pm. This year we have a Ireland table for all of the Irish people at the conference to gather at and to meet.
I’ll be there so drop along and say hello.
There are a number of BIG Data and Analytics presentations at the UKOUG Conference in Birmingham (4th Dec – 7th Dec).
I’ve worked my way through the agenda grids for each day of the conference and I’ve come up with the following list. If you are interested in BIG Data and Analytics these presentations are a must see
| Monday | 12:15-13:15 | Exadata Live – Graham Wood – Hall 7A |
| 5th Dec | ||
| Tuesday | 9:00-10:00 | Big Data-Are you ready – Mark Townsend – Hall 1 |
| 6th Dec | 10:10-10:55 | Who’s afraid of Analytic Functions – Alex Nuijten – Hall 5 |
| 11:15-12:15 | Analysing Your Data with Analytic Functions – Carl Dudley – Hall 9 | |
| 16:40-17:40 | Mobile Analytics using OBIEE 11g – Jon Mead – Exec Room 1 | |
| Wednesday | 9:00-10:00 | Oracle 11g Database Automatic Parallelism – Joel Goodman – Hall 9 |
| 7th Dec | 15:20-16:05 | How to Deploy your Oracle Data Miner in a Live Environment - me |
The UKOUG conference will be in a couple of weeks. I have my flights and hotel booked, and I’ve just finished selecting my agenda of presentations. I really enjoy this conference as it serves many purposes including, finding new directions Oracle is taking, new product features, some upskilling/training, confirming that the approaches that I have been using on projects are valid, getting lots of hints and tips, etc.
One thing that I always try to do and I strongly everyone (in particular first timers) to do is to go to 1 session everyday that is on a topic or product that you know (nearly) nothing about. You might discover that you know more than you think or you may learn something new that can be feed into some project on your return or over the next 12 months.
My agenda for the conference currently looks Very busy and in between these session, there is the exhibition hall, meetings with old and new friends, meetings with product/business unit managers, asking people to write articles for Oracle Scene, checking out possible presenters to come to Ireland for our conference in March 2012, etc. Then there is my presentation on the Wednesday afternoon.
Sunday
I’ll miss most of the Oak Table event on the Sunday but I hope to make it in time for
16:40-17:30 : Performance & High Availability Panel Session
Monday
9:20-9:50 : Keynote by Mark Sunday, Oracle (H1)
10:00-10:45 : The Future of BI & Oracle roadmap, Mike Durran, Oracle (H5)
11:05-12:05 : Implementing Interactive Maps with OBIEE 11g, Antony Heljula, Peak Indicators (H10A)
12:15-13:15 : OBI 11g Analysis & Reporting New Features, Mark Rittman (8A)
14:30-15:15 : Master Data Management – What is it & how to make it work – Robert Barnett, Hub Solutions Designs (H10A)
16:20-17:35 : Dummies Guide to Oracle ADF, Grant Ronald, Oracle, (Media Suite)
16:35-18:30 : The DB Time Performance Method, Graham Wood, Oracle (H8A)
17:45-18:30 : Performance & Stability with Oracle 11g SQL Plan Management, Doug Burns (H1)
17:45-18:30 : Experiences in Virtualization, Michael Doherty (H10A)
19:45-20:45 : Exhibition Welcome Drinks
20:45-Late : Focus Pubs
Tuesday
9:00-11:00 : Next Generation BI Architectures Masterclass, Andrew Bond, Oracle (H10B)
10:10-10:55 : Who’s afraid of Analytic Functions, Alex Nuijten, Maxima (H5)
11:15-12:15 : Analysing Your Data with Analytic Functions, Carl Dudley, (H9)
11:25-13:25 : Using a Physical Standby to Minimize Downtime for DB Release or Server Change, Michael Abbey, Pythian (Media Suite)
14:40-15:25 : How note to make the headlines, Mark Clewett, Hitachi (H10A)
14:40-15:25 : APEX Back to Basics, Paul Broughton, APEX Evangelists (H9)
15:35-16:20 : Can People be identified in the database, Pete Finnigan (H1)
16:40-18:35 : OTN Hands-on Workshop, Todd Trichler, Oracle (H8A)
17:50-18:35 : SQL Developer Data Modeler as a replacement for Oracle Designer, Paul Bainbridge, Fujitsu, (H8B)
18:45-19:45 : Keynote : Future of Enterprise Software and Oracle, Ray Wang, Constellation Research (H1)
20:00-Late : Evening Social & Networking
Wednesday
9:00-10:00 : Oracle 11g Database: Automatic Parallelism, Joel Goodman, Oracle (H9)
9:00-10:00 : Big Data: Learn how to predict the future, Keith Laker, Oracle (H8B)
10:10-10:55 : All about indexes – What to index, when and how, Mark Bobak, ProQuest (H5)
11:20-12:30 : Using Application Express to Build Highly Accessible Products, Anthony Rayner, Oracle (H8A)
12:30-13:30 : Practical uses for APEX Dictionary, John Scott, APEX Evangelists (H8A)
15:20-16:05 : How to deploy you Oracle Data Miner 11g R2 Workflows in a Live Environment – Me (H7B)
16:15-17:00 : Next Generation Data Warehousing, Kulvinder Hari, Oracle (H8A)
16:15-17:00 : Beyond RTFM and WTF Message Moments. Introducing a new standard: Oracle Fusion Applications User Assistance, Ultan O’Broin (Executive Room 7)
I know I have some overlapping sessions, but I will decide on the date which of these I will attend.
As you an see I will be following the BI stream mainly, with a few sessions on the Database and Development streams too.
This year there is a smart phone app help us organise our agenda, meetings, etc, The only downside is that the app does not import the agenda that I created on the website. So I have to do it again. Maybe for next year they will have an import agenda feature.
The Oracle 11.2 database contains 3 PL/SQL packages that allow you to perform all (well almost all) of your data mining functions.
So instead of using the Oracle Data Miner tool you can write some PL/SQL code that will you to do the same things.
Before you can start using these PL/SQL packages you need to ensure that the schema that you are going to use has been setup with the following:
The first PL/SQL package that you will use is the DBMS_DATA_MINING_TRANSFORM. This PL/SQL package allows you to transform the data to make it suitable for data mining. There are a number of functions in this package that allows you to transform the data, but depending on the data you may need to write your own code to perform the transformations. When you apply your data model to the test or the apply data sets, ODM will automatically take the transformation functions defined using this package and apply them to the new data sets.
The second PL/SQL package is DBMS_DATA_MINING. This is the main data mining PL/SQL package. It contains functions to allow you to:
The next (and last) PL/SQL package is DBMS_PREDICTIVE_ANALYTICS.The routines included in this package allows you to prepare data, build a model, score a model and return results of model scoring. The routines include EXPLAIN which ranks attributes in order of influence in explaining a target column. PREDICT which predicts the value of a target attribute based on values in the input. PROFILE which generates rules that describe the cases from the input data.
Over the coming weeks I will have separate blog posts on each of these PL/SQL packages. These will cover the functions that are part of each packages and will include some examples of using the package and functions.
If you have been using Oracle Data Miner to develop your data mining workflows and models, at some point you will want to move away from the tool and start using the ODM APIs.
Oracle Data Mining provides a PL/SQL API and a Java API for creating supervised and unsupervised data mining models. The two APIs are fully interoperable, so that a model can be created with one API and then modified or applied using the other API.
I will cover the Java APIs in a later post, so watch out for that.
To help you get started with using the APIs there are a number of demo PL/SQL programs available. These were available as part of the the pre-11.2g version of the tool. But they don’t seem to packaged up with the 11.2 (SQL Developer 3) application.
The following table gives a list of the PL/SQL demo programs that are available. Although these were part of the pre-11.2g tool, they still seem to work on your 11.2g database.
You can download a zip of these files from here.
The sample PL/SQL programs illustrate each of the algorithms supported by Oracle Data Mining. They include examples of data transformations appropriate for each algorithm.
I will be exploring the main APIs, how to set them up, the parameters, etc., over the next few weeks, so check back for these posts.
Today I received two boxes, containing 48 books of
The Performance Management Revolution by Howard Dresner
These books have been kindly donated by Duncan Fitter, UK Business Development Director at Oracle.
I will be distributing these books to my MSc Data Mining students over the next week.
Thanks Duncan and Oracle
The OUG BI SIG meetings you can book your place with the UKOUG.
Venue Address - Dublin:
Oracle Block H, East Point Business Park, Dublin 3
Venue Address - Belfast:
The Mount Conference Center, 2 Woodstock Link, Belfast BT6 8DD
For questions about logistics please contact the marketing team on marketing-ie_ie@oracle.com
If you have any question about the content please contact: mina.sagha.zadeh@oracle.com
If you know of any other events that are not listed, let me know and I’ll update the list
This year the Annual UKOUG event will be in Birmingham (again) from the 5th to 7th December.
This year there is a slight difference to the usual schedule. On Sunday 4th December there is an Oak Table event, with two parallel tracks. It has all the well known experts presenting at this event.
If I had the time turner from Harry Potter, I would be able to go to all the sessions.
Presenters include Morgens Norgaard, Johnathan Lewis, Frits Hoogland, Martin Widlake, Christian Antognini, Connor McDonald, James Morle and Wolfgang Breitling.
This is an impressive line up and hopefully the UKOUG will run a similar event in 2012.
Check out of the full agenda at
http://2011.ukoug.org/personalisedagenda
This is one event that I would love to go to but unfortunately I wont be able to make it. I’ll be attending the Annual UKOUG conference alright, and I have already booked my airline tickets. But there are no flights from Dublin that will get me to Birmingham on time. I would need to fly to Birmingham on the Saturday, involving another hotel night and another night away from the family.
The best I’m hoping for is to get to the ICC in time for the Panel Session on Performance and High Availability.
Depending on weather and travel delays I might even miss this last session. If I do, I can always meet up with everyone in the pub on the Sunday evening for a chat.
Maybe next year.
I have a few Updates since I posted the blog on 14th Sept
1. The OBIEE VMS are now available on the Virtural Box Pre-Built VM webpage, as of 15th Sept. Thanks to @oraclenerd for requesting this
http://www.oracle.com/technetwork/community/developer-vms-192663.html
2. Thanks to @rnm1978 for pointing out that the OBIEE VM is very resource intensive. The min. spec. given is not really enough. You really need more than 4GB for this VM to run.
3. The SampleApp that the OBIEE VM contains also has some examples of how Oracle Data Miner can be used in an application
I’ve recently come across an VM of Oracle Business Intelligence Enterprise Edition, which has the sample application already build and ready for you to use.
The VM files are available at the following link for download.
http://www.oracle.com/technetwork/middleware/bi-foundation/obiee-samples-167534.html
There are 2 files that you need to download to create the VM in VirtualBox. These are the VB Image key File (.ovf) and the VB Image Disk Files (.vmdk). The second file is ~25G, so it a while to download!
There is also a VB Image-Deployment Guide.
If you already have OBIEE installed and you don’t want to setup the VM, the setup files and data files are also available.
The Oracle BIWA SIG, which is part of the IOUG, will be having a tech cast on Wednesday 14th September 12:00 PM - 1:00 PM CDT (between 6pm and 7pm in Ireland)
It is titled 'Building Next-Generation Predictive Analytics Applications using Oracle Data Mining'.
You can register for this by visiting http://ow.ly/6s35C
This presentation will cover how the Oracle Database has become a predictive analytics (PA) platform for next-generation applications and will include several examples including:
“Predictive analytics help you make better decisions by uncovering patterns and relationships hidden in the data. This new information generates competitive advantage. Oracle has invested heavily to "move the algorithms to the data" rather than current approaches. Oracle Data Mining provides 12 in-database algorithms that mine star schemas, structured, unstructured, transactional, and spatial data. Exadata, delivering 10x-100x faster performance, combined with OBIEE for dashboards and drill-down deliver an unbeatable in-database analytical platform that undergirds next-generation “predictive” analytics applications. This webcast will show you how to get started.”
The Winter edition of the UKOUG Oracle Scene magazine is now looking for articles to be submitted for consideration.
The due date for the article submission is Friday 26 August. So you have just over 2 weeks to put together your article.
Lots of people have asked me what kind of articles are you looking for. The simple answer is anything as long as it is Oracle related. The following list should give you some ideas:
So you can see anything goes really.
How long should an article be ? It can be any length really. Anything from 1/4 page to a full 5 page article, and anything in between.
Selection of Articles Process
All submitted articles are assessed by a review panel, comprised of volunteers from a variety of businesses and specialties. The review panel rates the articles and makes comments where appropriate.
An editorial meeting takes place after the submissions have been rated. The articles are assessed and the review panel’s scoring and comments are taken into account. The editorial team makes the final decision as to which articles will be selected for publication, or to be held over for a future edition. You will be notified of the result as soon as this process has been completed.
You will be contacted near the publication date by the publishing company for you to review to print version of your article.
Submitting your Article
Check out the Article Formatting Guidelines before submitting.
All pictures and images should be 300dpi.
Include a 100(max) word Bio and your photo
Email your article and images to
Brendan Tierney
Deputy Editor
Oracle Data Miner functionality is now well established and proven over the years. In particular with the release of the ODM 11gR2 version of the tool. But how will Oracle Data Miner develop into the future.
There are 4 main paths or Frontiers for future developments for Oracle Data Miner:
Oracle Data Miner Tool
The new ODM 11gR2 tool is a major development over the previous version of the tool. With the introduction of workflows and some added functionality for some of the features. the tool is now comparable with the likes of SAS Enterprise Miner and SPSS.
But the new tool is not complete and still needs a bit of fine tuning of most of the features. In particular with the usability and interactions. Some of the colour schemes needs to be looked at or to allow users to select their own colours.
Apart from the usability improvements for the tool another major development that is needed, is the ability to translate the workflow and the underlying database objects into usable code. This code can then be incorporated into our applications and other tools. The tool does allow you to produce shell code of the nodes, but there is still a lot of effort needed to make this usable. Under the previous version of the tool there was features available in JDeveloper and SQL Developer to produced packaged code that was easy to include in our applications.
“A lot done – More to do”
Oracle Applications
Over the past couple of months there has been a few postings on how Oracle Data Miner (11gR2) has been, or will be, incorporated in various Oracle Applications. For example Oracle Fusion Human Capital Management and Oracle Real Time Decision (RTD). Watch out of other applications that will be including Oracle Data Miner.
“A bit done – Lots more to do”
Oracle Business Intelligence
One of the most common places where ODM can be used is with OBIEE. OBIEE is the core engine for the delivery of the BI needs for an organisation. OBIEE coordinates the gathering of data from various sources, the defining of the business measures and then the delivery of this information in various forms to the users. Oracle Data Miner can be included in this process and can add significant value to the BI needs and report.
“A lot done – Need to publicise more”
Customized Projects
Most data mining projects are independent of various Applications and BI requirements. They are projects that are hoping to achieve a competitive insight into their organisational data. Over time as the success of some pilot projects become know they need for more data mining projects will increase. This will lead to organisations have a core data mining team to support these project. With this, the team will need tools to support them in the delivery of their project and with the delivery. This is were OBIEE and Oracle Fusion Apps will come increasingly important.
“A lot done – more to do”
Before beginning any data mining task we need to performs some data investigation. This will allow us to explore the data and to gain a better understanding of the data values. We can discover a lot by doing this can it can help us to identify areas for improvement in the source applications, as well as identifying data that does not contribute to our business problem (this is called feature reduction), and it can allow us to identify data that needs reformatting into a number of additional features (feature creation). A simple example of this is a date of birth field provides no real value, but by creating a number of additional attributes (features) we can now use the date of birth field to determine what age group they fit into.
As with most of the interface in Oracle Data Miner 11gR2, there is a new Data Exploration interface. In this blog post I will talk you through how to set-up and use the new Data Exploration interface and show you how you can use the data exploration features to gain an understanding of the data before you begin using the data mining algorithms.
The examples given here are based on my previous blog posts and we will use the same sample data sets, that were set-up as part of the install and configuration.
See my other blog post and videos on installing and setting up Oracle Data Miner.
Data Set-up
Before we can begin the data exploration we need to identify data we are going to use. To do this we need to select the Data tab from the Component Palette, and then select Data Source.
To create the Data Node on our Workflow we need to click and drag the Data Source onto the workflow. Select the MINING_DATA_BUILD_V and select all the data.
The next step is to create the Explore Data node on our workflow. From the Data tab in the Component Palette, select and drag the Explore Data node onto the workflow. Now we need to link the Data node to the Explore Data node.
Right-click on the Explore Data mode and click Run. This will make the ODM tool go to the database and analyse the data that is specified in our Data node. The analyse results will be used in the Explore Data note.
Exploring the Data
When the Explore Data node has finished we can look at the data it has generated. Right-click the Explore Data node and select View Data.
A lot of statistical information has been generated for each of the attributes in our Data node. In addition to the statistical information we also get a histogram of the attribute distributions.
We can work through each attribute taking the statistical data and the histograms to build up a picture of the data.
The data we are using is for an Electronics Goods store.
A few interesting things in the data are:
The histograms are based on predetermined number of bins. This is initially set to 10, but you may need to changed this value up or down to see if a pattern exists in the data.
An example of this is if we select AGE and set the number of bins to 10. We get a nice histogram showing that most of our customers are in the 31 to 46 age ranges. So maybe we should be concentrating on these.
Now if we change the number of bins to 30 can get a completely different picture of what is going on in the data.
To change the number of bin we need to go to the Workflow pane and select the Property Inspector. Scroll down to the Histogram section and change the Numerical Bins to 25. You then need to rerun the Explore Data node.
Now we can see that there are a number of important age groups what stand out more than others. If we look at the 31 to 46 age range, in the first histogram we can see that there is not much change between each of the age bins. But when we look at the second histogram for the 25 bins for the same 21 to 34 age range we get a very different view of the data. In this second histogram we see that that the ages of the customers vary a lot. What does mean. Well it can mean lots of different things and it all depends on the business scenario. In our example we are looking at an electronic goods store. What we can deduce from this second histogram is that there are a small number of customers up to about age 23. Then there is an increase. Is this due to people having obtained their main job after school having some disposable income. This peak is followed by a drop off in customers followed by another peak, drop off, peak, drop off etc. Maybe we can build a profile of our customer based on their age just like what our financial organisations due to determine what products to sell to use based on our age and life stage.
Conclusions on the data
From this histogram we can maybe categorise the customers into the follow
• Early 20s – out of education, fist job, disposable income
• Late 20s to early 30s – settling down, own home
• Late 30s – maybe kids, so have less disposable income
• 40s – maybe people are trading up and need new equipment. Or maybe the kids have now turned into teenagers and are encouraging their parents to buy up todate equipment.
• Late 50s – These could be empty nesters where their children have left home, maybe setting up home by themselves and their parents are building things for their home. Or maybe the parents are treating themselves with new equipment as they have more disposable income
• 60s + – parents and grand-parents buying equipment for their children and grand-children. Or maybe we have very techie people who have just retired
• 70+ – we have a drop off here.
As you can see we can discover a lot in the day by changing the number of bins and examining the data. The important part of this examination is trying to relate what you are seeing from the graphical representation of the data on the screen, back to the type of business we are examining. A lot can be discovered but you will have to spend some time looking for it.
ODM 11gR2 Extra Data Exploration Functionality
In ODM 11gR2 we now have an extra feature for our data analysis feature. We can now produce the histograms that are grouped by one of the other attributes. Typically this would be the Target or Class attribute but you can also use it with the other attributes.
To set this extra feature, double click on the Explore Data node. The Group By drop down lets you to select the attribute you want to group the other attributes by.
Using our example data, the target variable is AFFINITY_CARD. Select this in the drop down and run the Explore Data node again. When you look at the newly generated histograms you will now see each bin has two colours. If you hover the mouse of each coloured part you will be able to get the number of records in each group. You can use other attributes, such as the CUST_GENDER, COUNTRY_NAME, etc. Only use the attributes where it would make sense to analyse the data by.
This is a powerful new feature that allows you to gain a deeper level of insight into the data you are analysing
Brendan Tierney
I had my first meeting, as a deputy editor, with the Oracle Scene team on Tuesday 12th July. The meeting was organised by Suzanne Gaunt, who is leaving the UKOUG on Friday. She will be sadly missed. Lavinia and Karina are taking over the role of producing the magazine.
Also at the meeting was Neil Jarvis, the editor, and Gillian and Philip Adams from www.doggARTadams.com, who look after the whole production of the magazine.
The main topic of discussion was the production process for the magazine and an outline of the timelines involved.
There was some discussions on how to improve the magazine with new material. Some of the suggestions included
In addition to these suggestions the main content of articles from the user community. Everyone is invited to write an article. It does not matter how long or short it is. The main idea is for you to share some of your knowledge. An article can be of any length, for example it could be 1/4 page, 1/2 page, 1, 2, 3 or 5 pages.
Have you come across a new or unusual feature, did you do something interesting with a feature, how and why you implemented it, case studies, new tools, etc.
So articles could be technical or non-technical, or on anything that might be of interest to the user community.
The next deadline for submitting articles is 26th August and with all deadlines it is good to submit early!
The finished magazine will be ready for distribution around the end of October.
If you have any suggestions of changes, additions, articles or adverting, let me know.
As with all development environments there will be need to move your code from one schema to another or from one database to another.
With Oracle Data Miner 11gR2, we have the same requirement. In our case it is not just individual procedures or packages, we have a workflow consisting of a number of nodes. With each node we may have a number of steps or functions that are applied to the data.
Exporting an ODM (11gR2) Workflow
In the Data Miner navigator, right-click the name of the workflow that you want to export.
The Save dialog opens. Specify a location on you computer where the workflow is saved as an XML file.
The default name for the file is workflow_name.xml, where workflow_name is the name of the workflow. You can change the name and location of the file.
Importing an ODM (11gR2) Workflow
Before you import your ODM workflow, you need to make sure that you have access the the same data that is specified in the workflow.
All tables/views are prefixed with the schema where the table/view resides.
You may want to import the data into the new schema or ensure that the new schema has the necessary grants.
Open the connection in ODM.
Select the project under with you want to import the workflow, or create a new project.
Right click the Project and select Import Workflow.
Search for the XML export file of the workflow.
Preserve the objects during the import.
When you have all the data and the ODM workflow imported, you will need to run the entire workflow to ensure that you have everything setup correctly.
It will also create the models in the new schema.
Data encoding in Workflow
All of the tables and views used as data sources in the exported workflow must reside in the new account
The account from which the workflow was exported is encoded in the exported workflow e.g. the exported workflow was exported from the account DMUSER and contains the data source node with data MINING_DATA_BUILD. If you import the schema into a different account (that is, an account that is not DMUSER) and try to run the workflow, the data source node fails because the workflow is looking for USER.MINING_DATA_BUILD_V.
To solve this problem, right-click the data node (MINING_DATA_BUILD_V in this example) and select Define Data Wizard. A message appears indicating that DMUSER.MINING_DATA_BUILD_V does not exist in the available tables/views. Click OK and then select MINING_DATA_BUILD_V in the current account.
Video
I have created a video of this blog. It illustrates how you can Export a workflow and Import the workflow into a new schema.
Make sure to check out my other Oracle Data Miner (11gR2) videos.
Over the past few days I’ve been trying to install Oracle Apex 4 on my 11.2g database. I say trying as I’ve made a number of attempts with no success. I started with the install instructions that come with Apex 4. Generally Oracle installs and install instructions have improved greatly since the 6, 7 and 8i versions.
I had high hopes of an easy install (as indicated by the various Oracle Apex books), but no matter what version of the install instructions I found there always seemed to be a step missing.
I finally came across one set of instructions that worked for me. The following steps are what I performed to get Apex 4 working.
1. Download Apex 4 from OTN to the directory
c:\apex_download
2. Unzip the Apex 4 download file. It will create the directory
c:\apex_download\Apex
3. Login into SQL*Plus as SYS with SYSDBA
4. Run the Apex 4 install script
c:\apex_download\Apex\apexins.sql SYSAUX SYSAUX TEMP /i/
where SYSAUX is the tablespace for Apex, TEMP is the temporary tablespace and /i/ is needed for possible upward compatability
This steps can take up to 30 minutes to run
5. Load the Apex images into the database.
- Got to the c:\apex_download\Apex directory.
- Log into SQL*Plus as SYS with SYSDBA
- run @apxldimg.sql
- You will be asked to enter the directory for the images. Make sure that you enter the correct directory, otherwise it will not work. In my case it is
c:\apex_download
6. Run the Configuration script. This will set up the XDB HTTP connection details.
@apxconf.sql
- enter the port number : 8080
- password
7. Unlock the required schema
SQL> ALTER USER ANONYMOUS ACCOUNT UNLOCK;
SQL > ALTER USER XDB ACCOUNT UNLOCK;
SQL > ALTER USER APEX_040000 ACCOUNT UNLOCK;
SQL > ALTER USER FLOWS_FILES ACCOUNT UNLOCK;
SQL > ALTER USER APEX_PUBLIC_USER ACCOUNT UNLOCK;
8. Open Apex. Open your browser and enter
there is a default workspace created
Workspace = internal
Username = admin
Password = admin
6. Change the password. The fist time you login you will be prompted to change the password. The new password needs to have a number, upper and lower case characters and one special character
7. To get the the Apex Admin page
On Thursday 23rd June the Irish BI SIG had a networking event on the Mv Cillairne boat. This is a former training boat that has been converted into a restaurant and bar. The boat is moored beside the new convention centre on the quays in Dublin near the O2.
There was a good turn out, with a mixture of people from An Post, ICON, Vertice, Fijitsu and some independent consultants/contractors.
There was a few fee drinks and some food provided by the UKOUG. Many thanks for these.
There was lots of sharing of what BI related projects people have worked. There was some discussions of how the SIG can progress in the future, with the consensus that people will need to be willing to present on their projects and experiences.
Tony Cassidy, the SIG Chair, is hoping to get a few volunteers to present at the next SIG or maybe have another social networking event.
I also did my bit for the Oracle Scene magazine, in asking people would they write an article (even if it is a short one) for the next edition. I’ve recently joined the editorial team of Oracle Scene.
