My mate has been fired from his job at a dress alteration company.
Apparently he didn’t turn up enough.
OK, lets keep up the pace this year. Soo much to learn in the OBIEE world, so little time.
Lets talk about size. How big is your OBIEE? I was recently at an OBIEE presentation and the speaker talked about a ‘large’ obiee user base of 50 users. Sorry, but this is tiny, not even small. Should OBIEE really be used for less than 50 users? How about less than 100? Maybe, maybe not, but I do know it can handle millions of users. Seriously. MILLIONS.
Obviously not all at the same time, concurrent will be depending upon your BI Server hardware – You will obviously have to use Exadata for the database, but should you use a cluster? Well, you could. In fact most do, but whats best for a larger user base is ONE machine. Seriously, ONE.
One Exalytics machine, using as many of the processors as possible and you will have a simple environment that is fast enough for thousands of concurrent users. When you have more than 4,000 users per day, then forget the cluster, buy the Exalytics. If your client/company won’t buy Exalytics then they will spend more money trying to build and maintain the cluster of slower machines. You can go for cluster, and if you do, aim for one machine per 1000 daily users.
BTW Just how do you define concurrent users? Number of people logged in any any one time? Number of people logging in per hour? per day?. Is number of user relevent when some are running more queries than others? Is number of queries relevent when one person runs load intesive and 100 people run a quick query?
My Advice? Ask the users about their experience with the system. Use the Apex Survey app (You have installed that, right?) and monitor averages, Total Server time, Total database time, number of queires per 10 minutes, number of user logins, etc, etc. Develop a rich picture of server stats and make sure your users can let you know easily when the performance is unacceptable.
Anyway, read these.
Ketan Rout writes the 2nd part of a 2 part article which demonstrates how to upload data in near-real time from an on-premise oracle database to Oracle Storage Cloud Service.
The first part of the article can be found here.
Scott Wesley writes a blog post about the following slide that recently appeared at a conference:
Porus Homi Havewala shares the following:
which is a preview lecture of the Udemy Course: Oracle Private Database Cloud. It can be found here.
Neil Chandler reviews a few of the conferences he has been able to attend this year.
Heli writes: “I do not understand why there are configurations and templates related to reports in Data Modeler. What is the difference and when are they used?”
Robert Lockard says, “I have been seeing this database architecture for over thirty years and it’s high time we stopped using it. Before I go too far, let me tell you I get it, you have pressure to get the application out the door and working in a defined timeframe. I still design and develop systems and the pressure to take shortcuts can be great. This short cut is a security killer.”
Wayne D. Van Sluys talks us through how to do this.
William Sescu blogs: “Temporary Tablespaces Groups exist for quite a while now (since 10gR2), but they are, for whatever reason not so often used. Personally, I think they are quite cool. Very easy to setup, and especially in big environments with a lot of parallel processing very useful. But this blog will not be about Temporary Tablespace Groups. They are already explained in the 12.2 Admin Guide.”
Ketan Rout writes, “Oracle Storage Cloud Service should be the central place for persisting raw data produced from another PaaS services and also the entry point for data that is uploaded from the customer’s data center. Big Data Cloud Service ( BDCS ) supports data transfers between Oracle Storage Cloud Service and HDFS. Both Hadoop and Oracle provides various tools and Oracle engineered solutions for the data movement. This document outlines various tools and describes the best practices to improve data transfer usability between Oracle Storage Cloud Service and HDFS.”
Dayne Carley says, “This post details a method of loading data that has been extracted from Oracle Business Intelligence Publisher (BIP) into the Oracle Business Intelligence Cloud Service (BICS). The BIP instance may either be Cloud-Based or On-Premise. It builds upon the A-Team post Extracting Data from Oracle Business Intelligence 12c Using the BI Publisher REST API.This post uses REST web services to extract data from an XML-formatted BIP report.”
Rebecca Wagner posted The Rittman Mead Open Source Project
Michael Vickers tweeted this photo from UKOUG_Tech16
Benjamin Perez-Goytia shared Integrating Big Data Preparation (BDP) Cloud Service with Business Intelligence Cloud Service (BICS)
Tanya Heise shared Business Analytics Monthly Index – October 2016
Videos such as A Lookback at #Kscope16 – ODTUG Took Chicago By Storm
and Schema Wars Episode 1: The Unstructured Menace