Note: You can listen to the blog post on the video or read the blog post.
Hello and Welcome.
I am Esther.
I am Peters A I Assistant to create voice overs.
I will simply read Peters blog posts, so that you have a choice of reading the blog post, or listening to my voice.
Hello and welcome Gentlemen.
I thought I would create a blog post with a summary of my resume in it so that anyone who does not know me can check out this online resume.
I will present this resume as a narrative of my experience rather than as a normal resume.
This is because this is more normal for videos.
You can get a copy of my client resume from my freebies document.
That is a more normal resume you would use for reviewing a persons professional career.
Most people who have been in data warehousing more than twenty years already know me.
For the last fifteen years I have not been such a public figure due to my woke cancellation for defending the rights of men and boys.
Pretty much any man who stands up for the rights of men and boys has had his life destroyed by lies and slander over the last thirty years or so.
All our ladies have supported the lies and slander of men who defended men and boys.
Personally, I think that is sad that our ladies did that. But they did.
Now that Donald Trump is in the white house and has declared that the US Government will return to hiring on merit?
I think there is a good chance that men will decide that it is time to put and end to woke cancellations.
We will see if this turns out to be the case.
As a result of all this I am stepping back into the public domain to promote my free software.
We will see if men want to use my software for free.
So.
I will start this resume narrative in nineteen eighty nine when I was twenty five.
I was the System Architect for a four million US dollar four hundred work month project that was being developed in the international development laboratory of IBM Australia.
I was the youngest System Architect ever in IBM Australia.
Many men much older than me protested my promotion because they felt they were better qualified for the job.
Many of them had a very good case as being better qualified as well.
At that time the next youngest System Architect in my area was thirty five.
The system I was System Architect for was the four point owe version of a pricing application that retrieved prices for IBM products and services.
It was to be installed into twenty-five countries including Australia, Japan and Canada.
So in nineteen eighty nine terms it was quite a major system development effort that I was the technical lead on.
I had twelve men in my team working on it.
So.
That is the starting point I want to have for this resume.
In December nineteen eighty-nine I made the decision to leave software development as a career and become a salesman.
In nineteen ninety I was invited to come to the IBM Santa Teresa laboratory just north of San Jose in California.
This was well known as the home of D B two.
In nineteen eighty nine I had written a large portion of the IBM Product called Software Configuration and Library Management. For short we will call it S C L M.
For those who do not know what that is you can consider that it was the IBM equivalent of the make program on Unix.
Of course it is one hundred times more complicated than make because IBM mainframes are a far more complicated environment with many more source code types.
Because I had written so much of the code, and invented the idea that made it useful, I was invited to co-author a book on S C L M.
Towards the end of the writing of the book I was invited to come to NASA.
An old friend of mine was working there.
She asked me to help design the source code management system for the eight hundred IBM programmers working on the software development for the International Space Station.
My ideas were adopted by NASA.
Because of this I quickly became IBM world famous.
Soon afterwards the Federal Aviation Authority moved their software development to S C L M.
I was asked to serve on the steering committee for the product.
By the time I resigned from IBM in nineteen ninety four, S C L M was one of the most successful product roll outs in the history of IBM.
Presumably all the code I wrote has now been replaced.
But in IBM I was widely known as Mister S C L M and I was widely recognized as the man who made the product successful.
Even the other members of the steering committee would openly say that without my contribution the product may never have been successful.
Of course, it takes thousands of people to make the roll out of an IBM product successful.
So as a team player I always say I was one of many who worked very hard to make S C L M so widely successful.
But when you get NASA to adopt your software you are making good progress.
When I became IBM Famous I really did not like it.
I never wanted to be the centre of any attention.
I just wanted to do a great job and be well paid to support my family.
I was happy to let other people have the spot light.
In March nineteen ninety one the event occurred that changed my life for ever.
I was on the path to become a salesman of IBM products and services.
To do this I was going to become a Systems Engineer and work on large accounts to learn the ropes of being a salesman before making the switch.
So in February nineteen ninety one I was assigned to my first IBM account. This was the third largest insurance company in Australia called The Mutual Life Company. They were called M L C for short in those days.
Of course, I told my wife Jennifer that I was assigned to the M L C.
Jennifer was also working for IBM at that time.
The next night she told me that her manager was going to give a presentation to the M L C in a couple of weeks and suggested I ask my account representative if I could attend.
To keep it short I attended the meeting.
By March nineteen ninety one IBM had purchased one hundred percent of the company called Metaphor Computer Systems. They had a product called The Data Interpretation System.
This was the company that Ralph Kimball was the co-founder of in nineteen eighty two.
Of course, on that day in March nineteen ninety one I had no idea my future was about to change dramatically.
As I watched the demonstration of the Data Interpretation System I knew that I had seen the future of computing.
The idea was that once we had collected all the data in our mainframes, in all these transaction systems we were building, we could send that data into DB two, and then analyse that data for business decisions.
It was immediately obvious to me that the value of such analysis was much greater than the value of automating transactions.
I knew that this sort of analysis would be a much better thing to sell than mainframes.
So I wanted in.
I was given the task of implementing the system into this customer.
This is how I came to be friends with Ralph Kimball.
I implemented the first copy of his software into Australia.
In order to get the performance needed I invented a new way to design query databases in nineteen ninety one.
Our customer was making millions of dollars of new profit.
But as per non disclosure agreements I was not allowed to be told what they were doing as IBM had other insurance companies as customers.
IBM told customers to never tell us anything confidential so that we could not be accused of passing information to competitors.
The rule was simple.
Please do not say anything in front of us you would not say in front of your biggest competitor.
In nineteen ninety two I toured all the large IBM customers and presented all the new ideas I had come up with.
Within a few years my ideas were widely adopted across large companies in Australia.
Just at this point I will add this.
In September nineteen ninety three I was blessed to be able to go to the head office of Metaphor Computer Systems in California.
I attended five days training.
I was also blessed to attend the world wide users group conference for Metaphor.
The customers who used the Data Interpretation System were household names.
These included Coca Cola, Proctor and Gamble, Wall Greens, Better Homes and Gardens along with many more.
At that time about three hundred large IBM customers used the Data Interpretation System.
Invited as the key note speaker for that conference was a man called Bill Inmon.
This guy spoke at one hundred miles an hour and I did not understand a word he said.
So at the end of his presentation I went and introduced myself, gave him my IBM Australia business card, and asked him if he had written any books about what he had just talked about.
As it was, he had written a book called Building the Data Warehouse.
So I had a copy of the book shipped to me from the US.
That is how I came to meet Bill Inmon.
I was an attendee at the Metaphor Computer Systems world wide users conference in September nineteen ninety three and Bill was the key note speaker.
We later brought Bill out to Australia to present to all the leading companies in Australia at a conference.
We also took him deep sea fishing off the coast of Sydney, where he caught a fifty kilogram yellow fin tuna.
Of course, we have been pals ever since that fishing trip.
In mid nineteen ninety four I resigned from IBM and I was allowed to go and work for the M L C on their pure research project on how to make the most money out of all the data they had.
That was the number one goal.
Given all this data we have?
How do we make more profit?
Running my own company, I was able to sign a non-disclosure agreement, and a non-compete agreement, with the M L C.
In return they were able to tell me what they had been doing over the last 3 years, and what they planned to do in the future.
A part of our research project was to investigate the creation of multi level, star schema, data models.
These were recommended by Metaphor Computer Systems.
They were very hard to build in nineteen ninety four.
This was considered confidential knowledge, and I was not allowed to be trained by Metaphor on how they did this.
It took us eighteen months to master the art of writing the cobol code to load these multi level data models.
The man who taught me how to do this was the man that Ralph Kimball left in charge at Metaphor Computer Systems when he left to start Red Brick.
That man introduced me personally to Ralph.
By the end of nineteen ninety five I had developed my first cobol software product to load multi dimensional star schema data warehouses.
Also during that year Ralph invited me to review his first book that he had been working on for a while.
So, just to put that in perspective?
In nineteen ninety five Ralph Kimball personally wrote to me and asked me if I was willing to put in my time for free to review his coming book.
I spent a lot of time making suggestions for Ralphs book. Some of them even made it into the final version.
In April nineteen ninety six I started work for Hitachi Data Systems as the business development manager for the Asia Pacific Data Warehousing practice.
So I contacted Ralph and made him a proposal.
I proposed to buy one hundred copies of his book and promote his work in Australia with Hitachi. I proposed to go all in with star schemas to create a strong point of differentiation with Teradata and IBM.
We even called my software the Hi Star Warehouse Toolkit.
We called our methodology the Hi Star Warehouse.
Ralph was really pleased to have someone in Australia wanting to go all in with dimensional models and he was happy to support our proposal knowing that I knew how to build star schema data warehouses.
When Hewlett Packard brought him to Australia to run a class for their consultants, they actually allowed me to put eight of my guys into his class.
This was my first chance to meet Ralph personally and sincerely thank him for helping me so much in my career.
At Hitachi we were very successful. We sold deals to the Australian Customs Service, The Department of Defence, Manulife in Hong Kong and Philippines Telecom. The Australian Customs Service was the largest tender for the year in nineteen ninety seven.
I moved to Price Waterhouse Coopers in late nineteen ninety seven because the man who had trained me in nineteen ninety four was running the global data warehouse practice. And at the end of nineteen ninety eight we won the corporate data warehouse project at our telco Telstra.
This was the biggest deal of the year again. So for two years running I won the biggest tender of the year in data warehousing in Australia. Many people considered the customs deal a fluke. But when I won the Telstra deal it was clear that I had made it as one of the top sales people in data warehousing in Australia.
My next job was with Ardent Software who had just bought Bill Inmons Prism Solutions company. Basically the interview was like this.
Quote.
You are the only man in the country who can fill the role we need. We will pay you whatever you ask for. But please just remember we need to get your package approved by our corporate human resources department in the US. So please make us an offer we can sell internally.
Unquote.
I then went to Ardent and we cleaned up. We sold deals like it was going out of fashion. I made one hundred and thirty percent of my services quota, along with helping sell hundreds of thousands of dollars of software. If not more.
I managed to get IBM thrown out of their only two accounts for their E T L Software. That was Telstra and Qantas.
We also denied Informatica entry into the marketplace. The only two informatica licenses sold into Australia were to projects from my former employers who did not want me involved in their accounts.
On the day that Ardent was bought by Informix we had fifty installed Data Stage accounts versus two informatica accounts. Informatica simply could not make a sale over us because of my sales skills in positioning and presenting Data Stage.
Our Ardent stock was rising and eventually we were bought by Informix. Informix in Australia was a basket case and so I stuck around waiting to collect on my share options.
On the day that we were bought out my stock options were worth twenty one dollars per share. Within a few months they were down to two dollars seventy cents per share. At the end of two thousand Informix retrenched my whole team.
I had already decided to resign at the end of the year but by not telling Informix this I got a small payout for being retrenched.
During two thousand one of my colleagues at Price Waterhouse Coopers had gone to work for Sean Kelly who was then the vice president of data warehousing for Sybase. They were selling their data models on Sybase I Q.
They were selling so many deals that they didn’t have people to deliver them. They particularly needed people prepared to travel to bring new countries up to speed using their first project to train local people to deliver later projects.
This was my next offer. To relocate to Dublin Ireland as a place to live and to then travel to the country to deliver the project. This was in line with the plan of Jennifer and I to live overseas for two years before the youngest children went into high school.
We had planned on living in Boston for two years with Ardent. But Informix buying out Ardent changed those plans to living in Dublin Ireland working for their competitor Sybase.
Some people do not know that Sean Kelly was the number one man in Europe. He was selling data models to large companies, primarily telcos. Sean having had his start in technology in Irelands government telco.
So we relocated to Dublin in February two thousand and one. I then went on to do projects in Norway, the USA, Saudi Arabia and Romania for Sybase. I then did Electronic Arts global data warehouse in two thousand and six.
At this time I also decided to rewrite my cobol E T L software into C plus plus. I sold three copies of my see T L software to an old customer in Australia. And then in two thousand and seven I sold an all you can eat version of my see T L software to Key Work Consulting in Germany for a substantial amount.
This proved that I could sell see T L to consulting companies so that they could migrate their E T L to my software and then reduce their costs and their failure rates when compared to other E T L software. My see T L software cut the costs of development and support by fifty percent over Data Stage, Informatica or microsofts Integration Services. It was also much more reliable in production.
Key Work then suddenly had a major pricing advantage over all their competitors and their business went very well.
I trained their staff on how to build much more sophisticated data warehouses. And I trained the co-owner on how to make sales to big companies even though his company was only small.
Meanwhile, S A P had bought Sybase and S A P had the Business Warehouse. It made no sense that S A P would sell data models for general businesses.
So Sean Kelly contacted our old colleagues at Sybase and asked if we could build a two point owe version of the data models we were selling at Sybase. S A P said that we were more than welcome to build new data models as long as they did not compete with S A P.
So Sean Kelly and I decided we would build telco data warehouse data models. We knew all the limitations of the versions we had installed in so many telcos.
We had a long list of improvements we both wanted in our two point owe telco data warehouse models.
We then went on and sold a copy to the Carphone Warehouse fully owned subsidiary Talk Talk in two thousand and eight. We followed this up by selling another copy to Sky Talk in two thousand and ten.
In the summer of two thousand and ten Sky Talk was invited to give a thirty minute key note speech to the European Users Conference for Netezza.
There were about four hundred people in the audience.
Sean and I made sure they all got a business card from one of us.
We were also collecting their business cards as well. We now had two successful projects on Netezza in telco and we were ready to launch our models into the world with Netezza.
Then two things happened. IBM bought Netezza and they wanted to sell Data Stage and their own telco models on Netezza.
The second thing to happen was that I was doxed for my efforts to defend the rights of men and boys, most especially in the divorce courts.
A part of my doxing is that many women slandered me world wide so as to destroy my ability to earn my income.
These women were successful at doing this and I have struggled to make sales and gain work since two thousand and eleven.
So you can see from that resume I am personal friends with Bill Inmon and Ralph Kimball. I was obviously very good friends and business partner with Sean Kelly before his untimely death in two thousand and twelve.
There is one other man to mention who does not wish his name to be public. He is the man who designed the data models that Sean Kelly sold to Sybase in nineteen ninety nine. He is the worlds best data modeler and the smartest man I have ever met. He lived just around the corner from me in Dublin and we were also good pals.
That I had the chance to work with him was a great blessing for me.
We were selling the data models for one hundred and fifty thousand dollars in the early part of this century. Sean and I sold our two point owe version for one hundred thousand euros to Talk Talk and Sky Talk.
So.
From that resume narrative, and from my written customer resume if you want to read it?
You can see that I was one of the worlds top data warehouse architects by two thousand and ten.
We had the two point owe version of the telco data models and we had see T L as our E T L software.
A customer could buy our data models and implement them with see T L or they could use Data Stage or Informatica.
We had a method of translating our E T L to programs in either of Data Stage or Informatica.
Our development costs for telcos were fifty percent less than the next cheapest proposals at both Talk Talk and Sky Talk.
We were on top of the world and ready to roll out this business when I was doxed and women slandered me to destroy my income earning ability.
I suspect that Sean was diagnosed with his cancer close to this time as well because his behaviour changed quite dramatically. He did not tell me what the issue was as he was that sort of man. He kept his personal issues personal.
In those days the mapping rate for see T L was one thousand fields per work month when that work month was about two hundred and fifty hours.
We used to work flat out during the whole mapping exercise. No eight our days and forty hour weeks for us.
Today we have improved see T L to be able to map between six thousand to eight thousand fields per work month.
Personally, I propose to design and build E T L systems for the rest of my professional life.
Then I will sell them via partners to get around my woke cancellation.
More on that in my next blog post.
From this resume review I want you to take away the following.
I was one of the worlds top data warehouse architects in two thousand and ten.
I could perform almost all the most important positions of a project.
I did the project management, the workshops and interviews, the data model design, and the ETL development.
I was able to perform all those roles because I had see T L as the productivity tool to save me time.
The idea of see T L was to make myself much more productive so that I could take on more work within projects.
By doing that I could charge higher rates while the overall project cost less.
Once I had that software it made sense to sell it to other companies and consulting firms to help them reduce their costs to make them more competitive in the marketplace.
Today you can have see T L for free. You can just get the downloads from my freebies link.
You can convert it to your own brand yourself if you want to.
You can get me to convert it to your brand for ten thousand dollars for my time to migrate it for you.
You can buy a version of see T L with more features for ten thousand euros or dollars depending on where you are.
If you are a consulting company and you would like to have a license to use see T L in as many companies as you like then we can talk about that.
The offer I would make would be in proportion to the likely number of customers you were going to be able to run with see T L.
I have also released the base portion of the B I four ALL data models.
Again you can get them from the freebies document that I publish and keep up to date.
So.
That is my professional biography as a narrative style blog post.
Given that you can download see T L and download the B I four ALL base models and read them for yourself?
You can quickly and easily satisfy yourself that I am who I say I am.
If you have any questions please put them in the comments section.
You can also email me.
My public email is peter at peter nolan dot com.
I would also recommend that you get on my email list so that you get my newsletters into your in box and you don’t have to come to my blog posts to find out what I have been talking about of late.
And with that?
I hope you found this blog post interesting and informative.
Thank you very much for your time and attention.
I really appreciate that.
Best Regards.
Esther.
Peters A I Assistant.
