Archive for the Essbase Category

Essbase Statistics DW: How to automatically administrate Essbase using ODI (Part 8: ODI)

Posted in Essbase, Java, ODI with tags , , on February 19, 2021 by radk00

Now its time to glue it all together with ODI. ODI is great here because it can work with different technologies without any effort. In our case, we will run the Java codes that we displayed in this series using Java BeanShell Technology.

Although ODI is great to execute any kind of technology code out there, it does not have a good way for you to write and debug your code while you are developing it. So, I always prefer to create the code in an external Java IDE (like Eclipse), test it and copy the “Main” portion of it into an ODI Procedure.

Another advantage to use ODI is that we can get the connection information from topology itself and reuse everywhere within the package using the command on source/target technique, where you define the connection in the command on source tab and get the information in the command on target tab.

To glue all together in ODI is very simple. We may have all the java codes in one procedure with as many steps as we want (depending in what kind of statistics we want to get, in our case, three). Then we may have another procedure that will hold our pivot queries that we use to transform and load the data into our DW tables. Finally, we may even create our own metrics based on the knowledge that we have from Essbase. Down below is one example of metrics that we may retrieve from the stats that we just gathered.

When we put it all in an ODI package, it will look like this. In this example, we also added a send email component just to inform the users about the job completion.

That’s it folks! Next post will be the last one of this series. Stay tuned!

Essbase Statistics DW: How to automatically administrate Essbase using ODI (Part 7: Essbase DW)

Posted in Essbase, Java, ODI with tags , , on February 17, 2021 by radk00

Before we glue it all together in ODI, let us organize the data that we just got from Essbase. In the last post we saw that we gathered all the information we needed inside a generic stage table. Although a generic table is great from an extract perspective, we may decide to split, organize, and load this information in some kind of “historical DW tables” which will help us to analyze the data better over time.

For this series of posts, we have 3 different kind of information: DB Statistics, File Statistics and Outline Statistics. Their structure are very different, so we will generate one historical table for each kind of statistic.

Since we created a generic table to hold all extracted information in rows, now we need to PIVOT the data into columns and load it into the historical tables. This can be easily achieved with a SQL like the one below:

First, we define the columns to be pivoted and use a consolidation function on the data column, like (SUM, AVG, MIN, MAX, COUNT…). Then we specify the data to be pivoted and this data must be a constant in the “IN” clause. Finally, this data is loaded to the DW table using a Control Append approach, since we want to keep adding the current statistics to a historical table for an analysis over time.

If we follow this approach for all three metrics that we retrieved from Essbase, we will end up with three DW tables, like the ones below:

File statistics:

Outline statistics:

DB statistics:

That is all for today! See you!

Essbase Statistics DW: How to automatically administrate Essbase using ODI (Part 6: Java codes)

Posted in Essbase, Java, ODI with tags , , on February 9, 2021 by radk00

Hi all, let us demonstrate some examples of Java codes that you may use to retrieve statistics out of Essbase. Since we want to store those stats in an Oracle table, let us begin with an example of how to connect to an Oracle DB, which is simple, as we just need the DB URL, username, and password. Below is how we may create the connection. We also have a prepare statement that we will use to do inserts in our Oracle table.

Since we have a generic table, we can have just one prepare statement and use it to insert all kind of stats there.

Connecting to Essbase is also easy, the only additional information is that you also need to pass the Provider Service, which may be “Embedded” or by Provider Service. Here we are basically doing a sign in to the provider service and then select the OLAP server that we want to use.

Now let us see the first code to get some cube stats. First, we get all the cubes from all the apps and for each cube we get its properties (which is an array in a Key and a Value format). This information is added to the prepare Statement and executed (inserted) into the DB.

The result will be something like this:

Let us jump to a second example. In Java we can issue any Maxl command using the “IEssMaxlSession” class. The result set contains columns and rows, similar with what we get in EAS. Then we need to loop through the rows and get the columns that we need. This information is also added to the prepare Statement and executed (inserted) into the DB.

The result will be something like below.

The last example is how we can get stats from the Essbase outline. We can get member information using IEssMemberSelection with a custom query or find the member directly in the outline using find member. The results contain a set of members that we may loop and analyze its properties. In this case we decided to categorize the results by its storage type.

Again, the result will be something like the one below.

That is it for today. Next post I will show you how you can glue it all together with ODI. See you soon!

Essbase Statistics DW: How to automatically administrate Essbase using ODI (Part 5: Automating using Java Essbase API)

Posted in Essbase, Java, ODI with tags , , on February 8, 2021 by radk00

Hi all! Let us talk now about how we can automate this stat gathering using Java Essbase API. Java is the key technology here since it can easily connect and manipulate Essbase through its API. It also can connect to Oracle Database to store our results, run OS commands and more all in one single code. Java is also great since it may be easily deployed to ODI using Procedures and scheduled using ODI Operator. All in all, combining ODI and Java code creates a powerful and seamlessly integration going beyond the database boundaries.

Let us begin with some Java Essbase API basics. The main goal is to develop one single code that will connect in Essbase, retrieve the statistics information and load that in the Oracle database.

Essbase API is very similar with what we see in EAS, in the sense that the structure of the classes follows the same architecture as in a Essbase server (Server->App->Cube->Otl), which makes it easy to find out what you are looking for when looking at the API documentation.

Since we will store this information in an Oracle table, we will also need to know a little bit about Oracle Java API, but luckily this one is straight forward.

With those two sets of APIs, we are good retrieve all the information that we need from Essbase. Each stat has its own number of columns and metrics, so if we create one table for each kind of structure it will be very tricky to maintain and harder to create any kind of generic code. The best way to extract information is to have just one table where we have the properties in the rows instead of columns, this way we have just one structure for all kind of information, no matter the number of columns that returns and we may create generic code around it. Our final table would look like below.

That is it for this post. Next one I will share some examples on how to connect to Oracle DB, Essbase and how to retrieve some stats out of it. Stay tuned!

DEVEPM in Kscope20!

Posted in Essbase, Hacking, Kscope 20, ODI 12c, ODI Architecture, Tips and Tricks with tags , , , , on March 2, 2020 by RZGiampaoli

We are delighted to tell everybody that we’ll be at KScope 20 in Boston.

We’ll be presenting the session Essbase Statistics DW: How automatically administrate Essbase using ODI on room 304, Level 3 => Wed, Jul 01, 2020 (02:15 PM – 03:15 PM). In this session we’ll talk about how to keep Essbase configuration up to date using ODI. We also will review

To have a fast Essbase cube, we must keep vigilance and follow its growth and its data movements, so we can distribute caches and adjust the database parameters accordingly. But this is a very difficult task to achieve since Essbase statistics are not temporal and only tell you the cube statistics are in that specific time frame.
This session will present how ODI can be used to create a historical DW containing Essbase cube’s information and how to identify trends and patterns, giving us the ability to programmatically tune our Essbase databases automatically.

We hope to see you all there.

Thank you and see you soon!

DEVEPM will be at Kscope18!

Posted in ACE, DEVEPM, Essbase, Kscope 18, ODI, ODTUG with tags , on March 14, 2018 by radk00

Hi all, how are you doing? With some delay (same as last year, I was on vacation 🙂 ) we are very happy to announce that DEVEPM will be once again at KScope! We are very honored to be selected to present on the best EPM conference in the word! We got two presentations in, so here is what we are going present at Kscope18:

Dynamic Metadata Integrations for Multiple ASO Applications

Metadata management is a challenge on complex environments, since it is always changing over time. If the metadata process is not build in a robust and dynamic way, we will end up having a lot of rework every time that the business changes.

One of the best ways to maintain metadata on ASO cubes is using ODI, which gives us great flexibility to create real complex enterprise ETL processes. But if we use ODI in its standard way, we will end up having multiple similar ODI objects, since each ASO application/dimension is tied to a particular ODI data store. In other words, the higher the number of ASO applications we have, the higher is the number of ODI objects, increasing the possible failure points and code rework if something changes, which will make us lose a lot of time, money and trust on those systems.

This study case describes how to implement a smart EPM environment that uses Oracle Data Integrator with Oracle Essbase and take full advantage of its potential. This session will show how to create dynamic processes that changes automatically for any number of Essbase applications, allowing metadata maintenance that meets the business needs with low development costs.

Incredible ODI tips to work with Hyperion tools that you ever wanted to know

ODI is an incredible and flexible development tool that goes beyond simple data integration. But most of its development power comes from outside the box ideas.

  • Did you ever wanted to dynamically run any number of “OS” commands using a single ODI component?
  • Did you ever wanted to have only one datastore and loop different sources without the need of different ODI contexts?
  • Did you ever wanted to have only one interface and loop any number of ODI Objects with a lot of control?
  • Did you ever need to have a “Third Command Tab” in your procedures or KMs to improve ODI powers?
  • Did you still use an old version of ODI and miss a way to know the values of the Variables in a scenario execution?
  • Did you know that ODI has 4 “Substitution Tags”? And do you know how useful they are?
  • Do you use “Dynamic Variables” and know how powerful they can be?
  • Do you know how to have control over you ODI priority jobs automatically? (Stop, Start and Restart scenarios)

If you want to know the answer of all this questions please join us in this session to learn the special secrets of ODI that will take your development skills to the next level.

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Kscope is the largest EPM conference in the world and it will be held in Orlando on June 2018. It will feature more than 300 technical sessions, five symposiums, deep dive sessions, and hands on labs over the course of five days.

Got interested? If you register by March 29th you’ll take advantage of the Kscope early bird rates. Don’t waste more time and let’s be part of the greatest EPM event in the world. If you are still unsure about it, read our post about how Kscope/ODTUG changed our lives! Kscope is indeed a life changer event!

 

Automating Essbase Copy Outline Operation using Java API

Posted in ACE, BSO, Cubes, Essbase, Hacking, Hyperion Essbase, Java, Migration, Oracle with tags , , , , , , on August 9, 2017 by RZGiampaoli

Hi guys how are you? Did you guys ever tried to automate the process of coping a cube outline from one application to another?

Well, there’s an easy way to do that. Basically you copy the .otl from the server file system over the other cube. The problem is that if the cube is not empty, the database becomes corrupted since we just replaced an .otl file for another strange .otl file (no restructure happened).

Then if you want to copy the outline to an existing cube (that has data) this is not a solution.

The thing is, the only two possible ways to do what we want is the EAS “Save as” operation and the migration wizard. These both operations work because they copy the .otl file as .otn and then run a restructure in the database. The restructure “synchronize” the cube with the new outline, making the process safe for a cube that has data on it.

The problem is, none of these can be automated and there’re no way to do this operation using Maxl or EssCmd.

In fact, even using the Java API, it’s hard to figure out how to do that because all the copy methods seem to copy all kind of objects but the outline.

The good news is, we figured out a way to replicate the “Save as” operation using the Java API after hours of frustration and tears…

Here we go:

Save As Java code

The code is really simple. We need to connect in the essbase server, lock the target outline (the one we’ll overwrite) and then copy the outline from one application to another. To do that we are going to use the functions “lockOlapFileObject” and “copyOlapFileObjectToServer”.

This process that we just described will create an .otn file in the target cube. Now comes the great catch of this code (that is not documented anywhere):

If we open the target outline in EAS we will still see the old metadata. To commit the changes, we need to perform a restructure to merge the new outline (.otn) with the old one (.otl) updating the metadata.

To do that we are going to use the functions in the class “IEssCubeOutline” to “open”, “restructureCube” and “close” the target outline.

That is it. This process will do exactly what the “Save As” in EAS does, which means that you can copy outlines from one application to another even when the target database contains data.

I hope you guys enjoy and see you soon.

Kscope 17 is approaching fast!!! And we’ll be there!

Posted in ACE, Data Warehouse, Essbase, Hyperion Essbase, Java, Kscope 17, ODI, ODI Architecture, Oracle, Performance, Tips and Tricks, Uncategorized with tags , , , , , , , , on June 8, 2017 by RZGiampaoli

Hi guys how are you? We are sorry for being away for so much time but this year we have a lot of exiting things going one, then let’s start with what we’ll be doing at Kscope 17!

This year we’ll present 2 sessions:

Essbase Statistics DW: How to Automatically Administrate Essbase Using ODI (Jun 28, 2017, Wednesday Session 12 , 9:45 am – 10:45 am)

In order to have a performatic Essbase cube, we must keep vigilance and follow up its growth and its data movements so we can distribute caches and adjust the database parameters accordingly. But this is a very difficult task to achieve, since Essbase statistics are not temporal and only tell you the cube statistics is in that specific time frame.

This session will present how ODI can be used to create a historical statistical DW containing Essbase cube’s information and how to identify trends and patterns, giving us the ability for programmatically tune our Essbase databases automatically.

And…

Data Warehouse 2.0: Master Techniques for EPM Guys (Powered by ODI)  (Jun 26, 2017, Monday Session 2 , 11:45 am – 12:45 pm)

EPM environments are generally supported by a Data Warehouse; however, we often see that those DWs are not optimized for the EPM tools. During the years, we have witnessed that modeling a DW thinking about the EPM tools may greatly increase the overall architecture performance.

The most common situation found in several projects is that the people who develop the data warehouse do not have a great knowledge about EPM tools and vice-versa. This may create a big gap between those two concepts which may severally impact performance.

This session will show a lot of techniques to model the right Data Warehouse for EPM tools. We will discuss how to improve performance using partitioned tables, create hierarchical queries with “Connect by Prior”, the correct way to use multi-period tables for block data load using Pivot/Unpivot and more. And if you want to go ever further, we will show you how to leverage all those techniques using ODI, which will create the perfect mix to perform any process between your DW and EPM environments.

These presentations you can expect a lot of technical content, some very good tips and some very good ideas to improve your EPM environment!

Also I’ll be graduating in this year leadership program and this year we’ll be all over the place with the K-Team, a special team created to make the newcomers fell more welcome and help them to get the most of the kscope.

Also Rodrigo will be at Tuesday Lunch and Learn for the EPM Data Integration track on Cibolo 2/3/4.

And of course we will be around having fun an gathering new ideas for the next year!!!

And the last but not least, this year we’ll have a friend of us making his first appearance at Kscope with the presentation OBIEE Going Global! Getting Ready for More Than +140k Users (Jun 26, 2017, Monday Session 4 , 3:15 pm – 4:15 pm).

A standard Oracle Business Intelligence (OBIEE) reporting application can hold more or less 1,200 users. This may be a reasonable number of users for the majority of the companies out there, but what happens when an IT leader like Dell decides to acquire another IT giant like EMC and all of their combined 140,000-plus users need to have access to an HR OBIEE instance? What does that setup looks like? What kind of architecture do we need to have to support those users in a fast and reliable way?
This session shows the complexity of Dell’s OBIEE environment, describing all processes and steps performed to create such environment, meeting the most varied needs from business demands and L2 support, always aiming to improve environment stability. This architecture relies on a range of different technologies to support that huge amount of end users such as LDAP & SSL, Kerberos, SSO, SSL, BigIP, Shared Folders using NAS, Weblogic running into a cluster within #4 application servers.
If the challenge was not hard enough already, all of this setup also needed to consider Dell’s legacy OBIEE upgrade from v11.1.1.6.9 to v11.1.1.7.160119, so we will explain what were the pain points, considerations and orchestration needed to do all of this in parallel.

Thank you guys and see you there!

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Let’s Join DEVEPM @ KSCOPE 16

Posted in ACE, EPM, Essbase, ETL, Hyperion Essbase, Hyperion Planning, InfraStructure, Kscope 16, ODI, ODI 10g, ODI 11g, ODI 12c, ODI Architecture, ODTUG, Oracle Database, OS Command, Performance, Tips and Tricks with tags , , , , , , , , , , , , on April 5, 2016 by RZGiampaoli

Hi Guys how are you?

Just a quickly post about this year KSCOPE. This year we’ll have 2 excellent sessions:

Take a Peek at Dell’s Smart EPM Global Environment:

Ricardo Giampaoli , TeraCorp

Co-presenter(s): Rodrigo Radtke de Souza, Dell

When: Jun 27, 2016, Session 2, 10:15 am – 11:15 am

Topic: EPM Applications – Subtopic: Planning

In a fast-moving business environment, finance leaders are successfully leveraging technology advancements to transform their finance organizations and generate value for the business.
Oracle’s Enterprise Performance Management (EPM) applications are an integrated, modular suite that supports a broad range of strategic and financial performance management tools that help business to unlock their potential.

Dell’s global financial environment contains over 10,000 users around the world and relies on a range of EPM tools such as Hyperion Planning, Essbase, Smart View, DRM, and ODI to meet its needs.

This session shows the complexity of this environment, describing all relationships between those tools, the techniques used to maintain such a large environment in sync, and meeting the most varied needs from the different business and laws around the world to create a complete and powerful business decision engine that takes Dell to the next level. 

Incredible ODI Tips to Work with Hyperion Tools

Ricardo Giampaoli , TeraCorp

Co-presenter(s): Rodrigo Radtke de Souza, Dell

When: Jun 27, 2016, Session 6, 4:30 pm – 5:30 pm

Topic: EPM Platform – Subtopic: EPM Data Integration

ODI is an incredible and flexible development tool that goes beyond simple data integration. But most of its development power comes from outside-the-box ideas.

  • Did you ever want to dynamically run any number of “OS” commands using a single ODI component?
  • Did you ever want to have only one data store and loop different sources without the need of different ODI contexts?
  • Did you ever want to have only one interface and loop any number of ODI objects with a lot of control?
  • Did you ever need to have a “third command tab” in your procedures or KMs to improve ODI powers?
  • Do you still use an old version of ODI and miss a way to know the values of the variables in a scenario execution?
  • Did you know ODI has four “substitution tags”? And do you know how useful they are?
  • Do you use “dynamic variables” and know how powerful they can be?
  • Do you know how to have control over you ODI priority jobs automatically (stop, start, and restart scenarios)?

If you want to know the answer to all this questions, please join us in this session to learn the special secrets of ODI that will take your development skills to the next level.

Join us in KSCOPE 16 and book our 2 sessions in schedule. They will be very good sessions and I’m sure that you’ll learn some new stuff that will help you in your EPM Environment!

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