A tale of Mondrian and real time analytics

Back in April 2008, Julian Hyde, founder of Mondrian, extends a basic API to control the contents of member caches within the Mondrian OLAP engine. Its name, quite unsurprisingly, is CacheControl.There is a basic implementation available, yet that feature remains mostly unknown to most of the community.

Jump to December 2010. We are brainstorming on Mondrian 3.3 (today this feels like ages ago). We come up with those crazy ideas about enterprise integration, real time analytics and cool APIs / SPIs. One of these crazy ideas is: Wouldn't it be sweet to update Mondrian's member cache and do real time OLAP?

That's when we remember the old CacheControl API.

olap4j 1.0 is here

Dear olap4j community,

It is with immense pride that we deliver to you today version 1.0 of olap4j. Yup. And you should be proud as well. Thanks to you and to the concerted efforts of countless collaborators, advisers, testers, integrators and developers worldwide, we were able to reach this historic milestone.

If you would allow me to exagerate blatantly for a second, olap4j 1.0 is what I believe the greatest and bestest (yes, you've read it right, bestest) version to have ever been granted to humanity.

At this point, I encourage you to go read the official press release instead of reading my futile efforts at proper journalism. Our fine folks really know how to best express what olap4j represents, why it is important and why it *might* be the bestest thing on Earth. I've also resisted the urge to copy / paste their fabulous text. That said, I'll do my part and get into the more technical details.

You will first notice that the distribution files have changed. The XML/A driver is now separated from the core API. This is a good thing for the project, as it will allow us to fix issues and release more often. Those of you who are using the JDK 1.4 compatible distribution will still get the XML/A driver in the same library. The four binary libraries are available on our Maven repository and Sourceforge project.

Among other changes, the top levels of the connection's metadata have also received some upgrades. A new metadata element was introduced at the top; the Database. We have also removed everything that was marked for deprecation as of 1.0. We therefore encourage people to test carefully while upgrading.

The reference implementation, Mondrian, is compatible with olap4j 1.0, but only for version 3.3.0.14192 and upwards. This means that if you are using both Mondrian and olap4j, the only compatible build is not certified nor tested anymore than any regular CI release. On production systems, you should abstain from upgrading to Mondrian 3.3.X or risk the consequences, although the 3.3.X series are very similar to what we released with the 3.2.X cousin. Anyhow, bottom line is:

• If you're only using olap4j and the XML/A driver, upgrade at will! 
• If you're using Mondrian too, we suggest waiting for Mondrian 3.3 official.
• If you like to live on the edge, grab olap4j 1.0.0.445 and Mondrian 3.3.0.14192. They are both available in our Maven repository.

That's it for now. As usual, drop by our forums or mailing list if there is anything we can help with. And again, congratulations to everyone for the hard work.

olap4j's  maven repository cheat sheet
url:
    http://repository.pentaho.org/artifactory/
group:
    org.olap4j
artifacts:
    olap4j
    olap4j-xmla
    olap4j-jdk14
    olap4j-tck

olap4j 1.0 - The long road to LTS

Last summer, we at olap4j announced that we would release olap4j 1.0 on October 31st 2010. Now is November 1st and olap4j is still not out of the door. Here's why.

Our reference implementation, the Mondrian project, suffered from delays in the release dates and had to be pushed back. All this kept us very busy and scrambling to make the best of it for a while. But fear not! This very week, the Mondrian team is running QA tests on a 3.2.1-GA build and as soon as it gets the green light, we will be able to put the finishing touches to olap4j 1.0. Why are these projects tied so closely? one might ask. Legitimate question.

You see, every API is a better API if there is at least one reference implementation existing in the wild. For many reasons actually. It allows us to architect, develop and test in a real environment, with real constraints and real data. Several APIs have failed in the past because in the end they were overly complicated for the end user. Some were so overly complicated that in the end, they failed to deliver what an API is supposed to be; a simple interface to a given system. Having a reference implementation mitigates the risk by allowing us to release by little increments and release often, but most importantly, release testable code that works. Another huge advantage is that for every part of the API, there is at least one fully functioning implementation out there, freely available as open sourced software, which implementers can refer to. This is a huge advantage in terms of both project sustainability and project adoption.

So stay tuned, because olap4j 1.0, despite some delays, is right around the corner!

olap4j tutorial

Behold! I finally had some time to put the finishing touches to my tutorial for olap4j. It took a year but here it is. Sorry for the delay. I know, I know. I promised it a year ago, but a lot of stuff has been going on since then. Two new jobs, two moving to a different city (and once more next month...). So without further delay, enjoy!

http://olap4j-demo.googlecode.com/svn/trunk/doc/Olap4j_Introduction_An_end_user_perspective.pdf

Pentaho’s Road To Profitability - Take 2

Tom Barber, a collaborator of mine, one of the most active community member of the Pentaho project, posted a very interesting blog entry this week. He is looking back at the path of Pentaho Corporation, a commercial open source business intelligence company, and their latest strategies for growth. He notes that in the past months, Pentaho has put a lot of effort in marketing initiatives and hired many big wigs in their marketing staff. In his opinion, this is somewhat against the ideals of commercial OSS development.

The commercial open source business model is still very young and has not encountered many great challenges up to now. Nor has it sailed in very troubled waters. Yet some signs are already warning people to be very careful with the years to come. Sun Microsystems (now Oracle) was surviving thanks to donations. Compiere recently made the news for all the bad reasons. Red Hat is doing pretty well though. In a nutshell, anything is still possible; good or bad.

Tom’s wish was that Pentaho would rather focus on paying skilled engineers rather than sales people. Now, as much as somewhat agree with the general idea, one must keep in mind that there is no correlation between the number of talented people getting paid to be on a project and it’s success. Some notoriously successful projects depend almost entirely on it’s community base. Mozilla Corporation to name only one. Others employ thousands of employees, yet achieve mediocre results. One could also argue that an effective marketing campaign will in fact boost people’s awareness, thus getting more talented people to join the community base. There is no tested and fail proof recipe so far. As I said earlier, everything goes.

I worked for the past months for a commercial open source company, and the same questions and uncertainties were part of every day discussions. How can a software company making no revenues on licensing be profitable? SQL Power Group, my employer, sponsors the only open source data modeling tool that works cross-platforms and offers, for free, the majority of the functionality included in widely known proprietary tools like ErWin. There are on a weekly basis between five hundred and a thousand downloads of SQL Power Architect. This is a lot for an OSS project in such a narrow niche. Yet a very small proportion of those are actually paying for support/consultancy, or making donations.

There are a lot of factors in play. First off, people willingly using OSS have overall better technical skills than others. To be fair, not every OSS is of acceptable quality, but you get to try as many as you want. Proprietary software is not better in any way, but you won’t get to try many of them, short of having very good contacts and/or deep pockets. This is one reason why reaching the tipping point of adoption is very hard for an OSS company. The percentage of OSS users ready to pay instead of figuring things by themselves is low. Way low. Waaayyy loooww. If you paid for software, you want support (and vice versa). You feel obliged to use the software because you already invested much in it. (Yes, money is time, time is money.) If you didn’t pay for the software and you hit a snag, you are far more likely to stop using it altogether. By abandoning it, you feel like you are exercising damage control, since you save time (thus money). You didn’t pay so why invest time? I’m fully aware that once you do the math, you realize that it’s the exact opposite. People usually don’t.

What does all that have to do with Tom? Well first thing first. Starting next week, I’ll be an employee of Pentaho Corporation. Yup. Am I a big wig? Nope. Am I a marketing guy? Well, I’m good looking, but not good enough with oxymoron. Am I a marketer? I’m having trouble making this blog post interesting, so nope, not a marketer either. I’m just some skilled dude who got his hands dirty for years and now decided that he would devote some serious time to make things better.

Look at it this way. In Tom’s vision of Pentaho, my ass is on the line. I deeply respect his insights on the market and software development in general. Yet here I am, proud as a peacock on a Sunday brunch, about to be part of this fantastic project. Am I worried? Hell no. I’m very enthusiastic about Pentaho having enough budget for marketing initiatives. This is exactly what OSS companies need; market awareness. People need to know you exist and that you are just as good as all those Fortune 100 companies. Even better than these. It has nothing to do with being a sell out. Marketing is not bad for your grassroots values, unless you make it so. Then again, you have only yourself to blame.

OSS companies need to reach the critical mass of contributors and adoption needed to survive. There is simply no other way. OSS users are picky, grumpy, bitchy and unforgiving. I know that for a fact. You want to thrive in that market share? You need two things. Proper marketing and skilled engineers. I’ll be doing my part in the later, and I’m very confident that the good people at Pentaho have picked skilled people to cover the former.

We are competing against giants, so let’s give them a ride for their money.

Creating Mondrian Schemas with Power*Architect

Since I don't have time to write much software myself these days, I figured I'd share this gem with you all. SQL Power, the Canadian Business Intelligence Authority (that's their tag line these days...), sponsors many open source projects. One of them is called Power*Architect; a marvellous cross-platform data modelling tool.

As far as I know, there are close to none "enterprise ready" data modelling tools that work on Linux and Mac. I also suspect none are free, whatever the platform. Visio is certainly not one of them.

Why is it so wonderful? Well, to start with, it can retro/forward engineer most JDBC compatible databases. That's a big plus. And it gets better. You can also use it to create a Mondrian schema. Yep. The team at SQL Power published a tutorial for that last week.

I do have to disclose that I will be working on their projects starting in October. I'm not trying to sell it to you; it's free anyways.  One thing is for sure though. I can't wait to get my hands in there. So I encourage everyone to grab a copy here and fill as many bug reports as you can. It's not 1.0 yet, so community contributions are a must. Having worked with the team for three weeks back in July, I can guarantee that each and every reported bug and suggested feature is closely studied by the development team.

Of OLAP and the importance of open standards

In these times of economical crisis, many companies will turn to business intelligence (BI) as a source of wisdom and counsel. Millions of dollars will be invested in an effort to understand the extend of their respective problems and find solutions based on accurate and decision oriented datasets.

Since I have a fairly good amount of experience with work in heterogeneous environments and tackling data integration challenges, I thought I'd pitch in my two cents.

Why developers and project managers will have a hard time

The root of the problem is this. The Microsoft OLAP toolkit does not integrate so well with anything else than .NET technologies. SAS offers a Java API, yet it is not ready for production. (I worked with it for two years, and believe me, they are still a fairly long way to production quality code.) As a matter of fact, most software vendors in the OLAP world distribute some API to integrate their technologies, but you often end up with black boxes of questionable quality, flexibility or performance. Some even go as far as to obfuscate their libraries... this really doesn't help in the end.

Some vendors like Oracle went for the all-in-the-box solution. They offer a "complete" solution that can fit every possible need. Then again, what they are telling you is: if we don't have it, you probably don't need it."Probably"? You got to be kidding. Since when does software vendors know what you need and what your future will be? Better switch probably for hopefully.

In the best case, in order to meet your needs, you'll hack your way through at the expense of your project specifications. The final result can be nothing but deceiving. Your celebration will be bitter and probably short lived, I fear.

About the importance of collective work

You have a brand new application. Hooray! This is where the production phase kicks in.

What if you need to move your datamart to another OLAP server? What if there are not enough connections licenses to allow both production connections and all of your maintenance personnel on the OLAP server and they are forced to take turns to debug? What if the CEO decides to migrate to a new platform? What if [insert random but oh so frequent unforeseen event here]? Your thousand dollar code is now rendered useless; you can start crying now, you deserve it. In your quest for more money making, you've created a monster that was expensive and will continue to pump the money out of your institution pockets.

If you were good enough in systems design, you thought about a data layer. The data layer still remains to be rewritten entirely and it often represents at least a third of the overall effort. Close, but no cigar. This might sound like a catastrophic scenario, but it is oh so frequent.

Many people got tired of all this non-sense we decided to work together. We decided that enough time and money was wasted on individual efforts that were ruined in the end.  It was time to agree on standards and share the product of our collective effort.

Take Hibernate for example. It is now a de facto standard when it comes to data mappers. For the Java version alone, it represents 859 thousand lines of code worth 12.8 million dollars in work hours. Think you can top that with your in-house data layer in times of economical crisis?

About Java OLAP

OLAP is a world in itself. You can't take relational paradigms and apply them to the multidimensional world. The .NET toolbox does have very nice libraries to do some neat OLAP stuff, then again, you're locked-in with SSAS. This is a no-no.

On the Java side, things are even worse. There is currently a big void in the Java OLAP market. No OLAP standard emerged at all. Thanks to the selfishness of the big players of the industry, the JOLAP initiative was a total failure. It never reached the final version, so the JSR-69 specification died quietly.

We at Olap4j tried to fill that gap with an open initiative. Everyone can pitch in. And I mean EVERYONE.

What makes Olap4j so kewl

You know the expression vendor lock-in? I hope you do, I *really* do, or else you'll learn it the hard way. Olap4j aims at solving exactly this problem. You can develop applications on it's API and switch the underlying OLAP engine without rewriting a single line of code. Not bad heh? Olap4j is more than a database driver. It is an open API built right on top of the JDBC industry standard where everyone collaborates to specify a common base onto which to build.

It even includes transformation libraries and testing facilities.

I want to kick the tires and use it right now

So far, it has two implementations ready to use. The Mondrian driver allows you to run the much acclaimed Mondrian open source OLAP engine as an in-process data provider.

There is also the XML/A generic driver that can connect to pretty much anything that talks XML/A, whether it's over HTTP or anything else you fancy using. This particular driver allows you to build applications that can switch to and from any of these OLAP engines :

• Hyperion Essbase


• Microsoft SQL Server Analysis Services


• Infor


• Mondrian


• Palo

The Olap4j project is gaining momentum and we truly hope to see it become the standard in the Java world.

Data integration challenges tackled

Data integration in business environments can be a painful task. I mean REAL painful. The volume of data is huge, it does not cross-validate, it is dispersed in many heterogeneous formats, yadi yada. You know the song. Some day, I stumbled on Pentaho Data Integration (PDI).This was a real breakthrough.

First thing first, it's not subject to "vendor lock-in". It can read most data formats out there and can write it back to pretty much anything. This is a huge plus because gives it the ability to be used by a plenitude of user types and environments. Being written in Java also gives it an edge as an enterprise tool, for it is platform agnostic.

But the real advantages are not those trivial specifications. My love for PDI has much deeper roots. Simply put : it's powerful. Creating an integration process is a trivial matter. Drag and drop. Link. Execute. Those three simple steps will cover most of your business needs. Really, I mean it. Never again will I write a snippet of code to read a CSV file and write it's content in a database. Mark my words; NEVER! This is a waste of time and a developer who lives with his times should know that.

What about the real juicy stuff ?

As you suspected, there is much more to PDI than meets the eye. It can be clustered, it can use a database based repository for all processes, there are automatic documentation generation tools and is supported by a huge community. Many tutorials exist to address most business needs and challenges. It's well made, very stable and easily expandable with plugins for power users.

I strongly recommend to give it a try. The next version should be released soon and it will include many great new features. I met Matt Casters last June and had the chance to see for myself all the new functionalities that will make it to the next release. We're talking about visual performance bottleneck exploration and some more neat stuff you won't find anywhere else.

Cheers, and have a good time integrating !!

Pentaho on the iPhone

I successfully added the iPhone extension to my Pentaho platform today and I was more then impressed with the ease with which we can enable the whole platform to work seamlessly on those nifty little phones.

Oh yeah, I bought an iPhone too...

I'm slowly discovering the fun of having a cellular phone in my pocket. This is something that I never experienced before; never had a cell phone. I have to say that I'm glad it's a good phone, and sexy too.

The bottom line is : get one.

For those interested, here's the wiki page that says it all. Thanks to Will Gorman, senior developer at Pentaho,  who put this all up.

Olap4j and XML/A - One more step towards a true olap systems integration API

I've been working for a month now on some enhancements to the Olap4j project to make it more powerful and compatible. The good news is, I succeeded. The previous version, 0.9.5, lacked some basic functionalities which you would expect from a production ready XML/A driver.

For one, it's HTTP proxy didn't support cookies. his was a big problem since the myriad of requests required to populate Olap4j's meta data objects each created a new user session on the web service back-end. This was a no-no, but now it's fixed and kicking ass.

I also worked on a SOAP query cache. This is was a big piece of software engineering, since I'm not used to thread safe coding. Thread safe thignys are usually in the lower levels of BI application servers and those issues are tackled from the start. Thanks to Java's java.util.concurrent package, this was a breeze.

Those changes are not part of any release nor in the SVN yet. I'm still waiting for peer review before the whole commit, but for people eager to see what it looks like, I've created a neat little package for y'all.

Now I can move back to my next release of the University of Montreal's Pentaho platform... all work and no play makes Luc a dull boy.

Cheers !