Many Toronto User Group members will be attending the PASS Summit in November in Seattle Washington, including me. If you work with SQL Server, this is the only community-driven event for SQL Server training, presentations, workshops and networking.
Would you like to join us? Use our PASS Summit Discount code / Coupon / promo code:
You can register now at http://www.sqlpass.org/summit/2014/RegisterNow.aspx and use the code to save $150 off full registrations. If you register before 27 June, you’ll get the best discount you can get right now and the Toronto User Group gets $50 to fund our meetings which start again in September. That’s right: you save some dough and our user group gets funding for our upcoming season that starts in September 2014.
If you can’t register now, no worries. You can still use our chapter code later.
Feel free to share this information with colleagues, even the discount code. The more the merrier. And the better you can love your SQL Server data.
Big data and NoSQL have led to big changes In the data environment, but are they all in the best interest of data? Are they technologies that "free us from the harsh limitations of relational databases?" as I recently blogged about at Dataversity.net?
In this month’s webinar (register now), we will be answering questions like these, plus:
- Have we managed to free organizations from having to do data modeling?
- Is there a need for a data modeler on NoSQL projects?
- If we build data models, which types will work?
- If we build data models, how will they be used?
- If we build data models, when will they be used?
- Who will use data models?
- Where does data quality happen?
- Are there NoSQL technologies for which data modeling will never apply?
Finally, we will wrap with 10 tips for data modelers in organizations incorporating NoSQL in their modern data architectures.
Join NoSQL expert extraordinaire Dan McCreary ( blog ) and others (including YOU!) as we talk about the future of data modeling and data modelers this Thursday, 26 June, at 2PM EDT.
We’ll also have some prizes to give a way, so plan on attending live.
(BTW, don’t get me started on the lame modeling styles/naming standards in stock photography. Maybe I should start making some for Getty Images?)
22 May 2014, 2PM EDT
It’s May, which sets this former Hoosier thinking of racetracks and Indy cars. I’m also a runner and that means I’m always thinking about pace and timings…and feeling guilty about not training hard enough.
This got me musing about how data modelers can speed up the data modeling process — not just during a development projects, but at all points in our work day. So let’s have a discussion about
In this month’s webinar, we’ll talk about:
- The Need for Speed
- Sprints, marathons and training
- Race cars, horses, carts, and feet
- Qualifiers and Races
- Pace cars
- Backseat drivers
- Rules, tickets and enforcement
- Fads, gadgets and automation
- Red, yellow, green and checkered flags
- How do you know when to stop racing?
Joining me in the discussion will be two wonderful panellists:
Donna Burbank, VP, Information Management Services at Enterprise Architects ( @donnaburbank )
Carol Lehn, MDM Database Designer at PepsiCo ( @lehnca )
And as usual, our attendees will have the opportunity to participate via chat and Q&A as our final panellist.
I have a great topic and panel for this month’s Big Challenges in Data Modeling webinar on Thursday, 24 April 2014, 2:00 PM EDT. It’s free, but you have to register to get the log in information.
Ethical Issues in Data Modeling
We’ll be talking about the nature of ethics, data and data modeling. I bet all of you have been placed in a tough situation before, either by other IT professionals or by business users who ask you to do something that you aren’t sure is ethical. Maybe it’s legal, maybe it isn’t. Maybe it’s about protecting data or data quality.
Some of the topics I hope we can discuss:
- What is the nature of ethics?
- How do ethics differ from morality? Legality?
- Can ethics be taught?
- Where does ego come into play here?
- What about Codes of Ethics and Codes of Conduct?
- Is there one right answer? Is there an always wrong answer?
- What’s the difference between a whistleblower and a tattletale?
- What tools do we have in making ethical decisions?
- How should we deal with unethical co-workers? Management? Customers?
- What does it all mean, anyway?
Ethical Situations in Data and Data Modeling
- If the answer is always “it depends”, what does it depend on?
- What if faster data means lesser data quality?
- Have you ever been asked to falsify a status report?
- Have you had to deal with someone else who provided incorrect information to a business user or management?
- Have you ever been asked to look the other way when security policies are being broken?
- Have you raised an issue of data protection that was ignored? Or minimalized?
- What about using production data for testing and development?
- What if the data is right, but the transformations or reporting is wrong?
- What if it’s intentionally wrong or misleading?
- Have you ever had to deal with someone else’s ego?
- Have you escalated an ethical issue? What about a legal one? A moral one?
- Do data modelers have distinct areas that we need to watch out for when it comes to ethics?
- Have you ever left a job or project due to ethical reasons?
YOU! Our webinars consider attendees as panelists. You’ll have the opportunity to ask questions, chat with other attendees and tell your own stories. You can even arrive early and stay late for our pre-show and after-show discussions.
Register now and bring your ethical questions and comments.
At the upcoming Enterprise Data World 2014, I’ll be doing a half-day presentation on Driving Development Projects with Enterprise Data Models.
Here are a few teases for what we will be talking about:
Join this session to see how data fits in real-world enterprise development projects. We’ll answer such questions as:
- "Who does what?"
- "Why are we doing this?"
- "Will it slow things down?”
- “Will it work with agile development?”
- "Will I have to actually talk to a data architect?"
- “What about the Cloud?”
- "What are the biggest mistakes teams make?"
- "Will I still have a job?"
The session will feature demos of common data modeling-to-database processes, including reverse engineering, forward engineering, generating DDL, alter scripts, and more. You will leave with 10 tips for making model-driven database development successful in your organization’s culture and environment.
Slides from my frequent DAMA / Enterprise Data World presentation on Data Modeling mistakes. You can click on the stopwatch in the player to auto-advance the slides.
There’s no sound; these are just the slides. If you’d like attend a presentation on this topic, ask your local user group (DAMA, ERwin, PASS, etc.) to invite me.
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