Getting Kubernetes and Containers to “click” for me

Today I had the pleasure of co-hosting the GroupBy Conference. Part of that involved co-hosting as Anthony Nocentino present on Kubernetes. His talk was based on his Pluralsight video on the same topic. After watching his presentation, Kubernetes finally clicked for me. I think I get it.

Before you can get what Kubernetes is about, you need to understand one layer lower and get what containers are about. Aaron Nelson has written a great article on setting up SQL in containers in 5 lines of code. This helped me see how quick and easy it is to spin up a container. Additionally, I see how useful it is to be able to set up a container, kill it and spin up a new one, all in a matter of seconds.

Once you start playing around with containers, you realize you need some way to control and organize them. If you are going to treat them like cattle, not pets, then you need to higher a cattle wrangler. Kubernetes is that cattle wrangler. Or should I call it a kattle wrangler?

I wrote last week about how The Phoenix Project totally altered the way I think about work. It also altered the way I think about deployments and devops. To go fast, to make 10 deploys per day, you need to remove humans as much as possible. You need infrastructure as code. Kubernetes turns your datacenter into code.

I still have some reservations about SQL Server Big Data edition, and I have to wonder when Kubernetes is overkill. But when you need to do dozens of deployments, or blue-green deployments, or implement stateless microservices, it’s a total no-brainer.

T-SQL Tuesday #113: A year of marriage and boardgames

T-SQL Tuesday Logo

This week’s T-SQL Tuesday is about where you use databases in your personal life. And I have a database I don’t use any more that’s a little happy and a little sad. For the first year of my marriage, I would track every time we played a board game together.

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Of course, some may question if it was really a database. We kept the data in Google Sheets. It was ugly data; if we played multiple games in a day, I didn’t always put in all the dates. I didn’t always spell games the same way. I had different entries for which configuration of Star Realms we played, even though it was the same game.

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One thing that was really useful was seeing which games Annie kicked my butt at. Or to see which games we played the most. Magic the gathering is in there twice because I did’t always spell it the same way.

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After a while, we didn’t play quite as frequently and all the data entry started to wear on me. I even played around with making a PowerApp to make it easier.

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In the end though, I stopped keeping track. Maybe at some point I’ll start again. I find it strangely satisfying to have this bizarre log of the first year of my marriage. During that time, we played about 90 distinct games about 220 times. We had a lot of fun and still dedicate 9 PM to 10 PM as our date hour, but will watch movies or play video games too now. And ultimately, we started what has been the best decision of my life, which was getting married.

Lessons learned from being self-employed, 6 months in.

silhouette of a person sitting in front of a laptop

Back in December, I wrote about all of the hard lessons I was learning by working for myself. Three months later, many of those challenges have shifted, which warrants a new blog post on the subject. In general, I’ll try not to repeat points from the last post.

So let’s assume that you’ve been working for yourself for 6 months. It’s at this point that one of three things has occurred. 1) You’ve burned up all of your savings and need to go back to a normal job, 2) you are getting enough work to make this sustainable, or 3) you are muddling your way through, making enough to pay the bills, but not enough to be happy.

If you have burned all of your savings it is painful, but you learned something valuable and have clear next steps, i.e. get a job. Consider this like a European gap year. Now you know this isn’t for you.

The barely sustainable path is more dangerous because you might shamble along for 5 years, unhappy and not growing, but too scared to give up your dream. Now is the time to make that hard choice. Step it up or quit.  Don’t wait until 60 months in to decide.

Let’s assume instead that you are doing well, really well. Perhaps too well, even. If you are getting plenty of work, then there are new and very important questions to answer. How do you define work and how do you manage it? How do you decide to “release” work into your enterprise? When do you say no?

If you cannot define, manage and prioritize work within your one-person organization, you will overcommit, incorrectly prioritize and eventually fail. It is as simple as that.  I have been eating a lot of humble pie this month as I’ve had to delay or cancel projects. This is because I planned poorly and overcommitted.

What is different?

So how is work any different than a normal job, and why do we need a better handle on it? So the very first thing is that in a regular job, the work is often more consistent or steady-state. In most cases, the variation in requests each week isn’t huge and so you can predict your overall workload. That workload may be more than you can handle, but you can still predict it.

Spikey workloads

Freelance work, in contrast, is extremely spikey. It’s often called “feast or famine”. There are a number of reasons for this. One is that often you’ll land a big project and the customer wants you to work on it RIGHT NOW. I’m wrapping up a 120 hour Power BI project, and the customer’s ideal would have been for me to complete it all in three weeks. My ideal would be to spread it over 12 weeks. The reality lands somewhere in the middle.

Another reason the work is so spikey is the very long lead times on the sales cycle. Some projects can take 3-6 months from first conversation to the contract being signed. By the time the sale closes, you may have already signed up for other commitments. Even worse, guess when you will have the most time to focus on sales? When your funnel is empty. So you get this ugly sine wave of working a ton on sales, then landing a bunch of work and being too busy to work on sales. Then the cycle repeats.

One other reason for the spikiness is if you are a freelancer, you are likely working alone at first. Which means you can’t take emergency work or that 120 hour project and spread it around as easily.

You control your workload

At my last job, I had very little control over what work got “released” or “approved”. I could prioritize and order my tasks, but I wasn’t the one coming up with them. The bulk of my work was based on requests from customers either internal (co-workers) or external.

As a freelancer, you have the power of saying no. You can fire customers. You may not be in a financial position to do it just yet, but that is one of the goals. Paul Jarvis describes it as being able to have a diva list. You control the conditions of your work.

This is especially true when it comes to non-billable work.Nobody wants to turn away paid work, but it’s totally on you if you decide to sign up to write a book, or start blogging every week, or present to more user groups. And because your workload is so spikey, you may sign up for these things when your workload is in a trough and regret it when work picks up. Which is…exactly the trap I fell into.

Your work is less visible

If I present at a user group, is that work? If I chat with people on Twitter, is that work? If I read a book about marketing, is that work? The answer to all of those is a distinct maybe, it depends. If they are work, then they take up time and they need to be monitored. Otherwise you’ll end up wondering why you aren’t spending more time on paid work.

One of the “click” moments for me was when I mapped out all of my non-billable commitments I had made. On an ideal week, I am spending a FULL DAY of work on things that don’t get me paid. Well, at least not directly. Secretly I hope that you’ll start reading my newsletter, fall in love with me, and watch my paid Pluralsight courses.

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This was not a problem at my last job, because I had a standard set of hours that I worked, and when I went home it was my time. Anything I did extra, like blogging, was icing on the cake. Now it’s a lot blurrier. I treat things like blogging or my newsletter as marketing expenses. I consider those things to be “work” and I track my time in Toggl accordingly.

Which reminds me! Are you tracking your time? If not start now. Toggl.com is completely free and has a simple app too. We manage what we measure. Nobody says you have to work 40 hours per week, but you need to make your work visible to you so that it can be managed and controlled.

What can we do?

So, I’ve been wrestling with these issues a lot. Going freelance reminds me of the Foundation series by Isaac Asimov, where a society faces a life threatening crisis, resolves it and then faces a completely different crisis. Managing work is my current crisis. There are two books that I can recommend that have been foundational (no pun intended) for how I relate to work.

Getting Things Done

The first book, which has transformed my work for the past 8 years, is Getting Things Done by David Allen. There is a lot to this book, but it’s all quite practical stuff. It’s the sort of thing that you’ could have invented yourself with enough time and effort. One of the key insights is that David breaks work into 3 main buckets:

  1. Pre-defined work
  2. Work as it appears
  3. Defining your work

Realizing that it’s valuable to spend time predefining your work, giving it a shape, and making it actionable, these are all amazing insights. GTD helps us turn a nebulous cloud of “work” into manageable, actionable tasks.

What is does not do, however, is provide a lot of guidance on managing the capacity, flow and priorities of our work. While it touches on looking at higher level goals, it treats work as a giant refined todo list, filtered by specific contexts. There is nothing in it that says “Hey, maybe don’t sign up to write a book because you might get busy.” For that, our next book comes in to play.

The Phoenix Project

Until very recently, I have never understood Devops. I got the general idea of unit testing, CI/CD and so on. But I never grokked Devops, to understand it in my bones. The Phoenix Project changed all of that , and it changed how I relate to work. Minor spoilers ahead.

In The Phoenix Project, work is defined in 4 different buckets:

  1. Business projects. Projects that add value to the bottom line.
  2. Internal projects. Projects that improve stability and efficiency.
  3. Changes. Sources of risk introduced by the two above.
  4. Unplanned work. Break/fix type work.

This ties in to the idea of the billable/nonbillable distinction I spoke about easier, as well as making work visible. As a freelancer, you are a “factory” of one, and you have to understand what commitments, internal and external, that you’ve taken on.

After reading the book, I felt utterly embarrassed, like some plant manager who was drunk on the job releasing work willy-nilly. What I learned from this book is that work in progress is the silent killer of productivity and I was producing tons of it.

Another insight from the book is to ask what are your work centers, a la the theory of constraints. What constrains the types of work you can do and when? In GTD, those constraints are largely physical and contextual: phone, email, computer, office, etc.

But in applying the theory to my own life, I realized a lot of my constraints are brain power and energy. Often I was doing brain-less work, like my newsletter when I was at peak energy, instead of doing my more intensive work, like writing courses. It was revelatory to see the constraints and “work centers” in my own factory of one.

One of the steps that I took to address this was to start capacity planning. I looked at my hours in Toggl, and looked at how much of that time was billable. Then I mapped out the total hours for my current commitments, then divided by the previous number. This helped me assess how many weeks of backlog I had at the time.

Summary

As a freelancer, you have much more control over what work you do or don’t do. But, the definitions for what counts as work get hazier and less visible. You need to take time to resolve that fact, as well as looking at your capacity in whole and over the long term.

I personally still haven’t gotten the hang of this. I look forward to your thoughts and book recommendations in the comments below.

Parameters not yet supported in Power BI Aggregations

At the time of this writing, Power BI Aggregations are still in preview and actively being worked on.  Once they leave preview, I expect this issue will either be fixed, or the limitations will be specified in the documentation, just like with DirectQuery in general.

Currently whenever I try to use a what-if parameter or a disconnected parameter table, Power BI Aggregations don’t work as intended, instead it reverts to Direct Query. Which means if I need to use a parameter of some sort, I can’t get the benefit of using aggregations.

UPDATE: This issue seems to depend on where they are being used. Reza Rad identified that the issue does not occur in an if statement.

UPDATE 2: According to Microsoft, this is intended behavior because the parameters aren’t in the pre-aggregations or the mappings. I’ve created a uservoice ticket for this.

Setup

To reproduce this issue, I’ve made an extremely simple data model based AdventureWorks2014 data. There are 4 tables involved with no direct relationships:

  1. SalesHeader, which is my fact table, stored in directquery mode.
  2. SalesHeaderAgg, which is my aggregation table, stored in import mode.
  3. TerritoryParameter, which is a What If Parameter, generated with DAX
  4. Territory, which is a disconnected table, stored in dual mode.

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I’ve mapped all the columns from my aggregations table to my detail table. In theory, all DAX queries that don’t require a count on CustomerID or TerritoryID, should hit the aggregation table.

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To start with, I have a table summing TotalDue by Customer.

image

I’ve connected profiler to the SSAS instance that Power BI Desktop runs in the background. This allows us to see what is bring run behind the scenes and if it is hitting the aggregation table.

In this case, Power BI Desktop is doing a TOPN:

EVALUATE
TOPN (
502,
SUMMARIZECOLUMNS (
ROLLUPADDISSUBTOTAL ( ‘SalesHeader'[CustomerID], “IsGrandTotalRowTotal” ),
“SumTotalDue”, CALCULATE ( SUM ( ‘SalesHeader'[TotalDue] ) )
),
[IsGrandTotalRowTotal], 0,
‘SalesHeader'[CustomerID], 1
)
ORDER BY
[IsGrandTotalRowTotal] DESC,
‘SalesHeader'[CustomerID]

And looking at the events, we can see a successful query rewrite, with no DirectQuery events. everything looks good.

image

The problem

Instead of using an implicit measure, let’s use a explicit measure, with a filter based on a parameter field:

Param Total =
CALCULATE (
SUM ( SalesHeader[TotalDue] ),
FILTER (
SalesHeader,
SalesHeader[TerritoryID] = TerritoryParameter[TerritoryParameter Value]
)
)

And at first, everything looks fine. No DirectQuery calls.

image

But, if I select one of the parameter values using a slicer, now it switches to using DirectQuery.

image

So what’s the difference? Well in the second DAX query, it’s applying the filter via TREATAS

image

What if I use an actual table in dual storage mode and just take the MAX instead?

Param Total =
CALCULATE (
SUM ( SalesHeader[TotalDue] ),
FILTER (
SalesHeader,
SalesHeader[TerritoryID] = MAX ( Territory[TerritoryID] )
)
)

Well, I get the same exact DAX pattern and the same result.

Conclusion

Ultimately, this is one of the tradeoffs of using preview functionality. I’m working with the customer to get a ticket escalated with Microsoft. Ultimately, it may just be an intended limitation of the technology. I hope not, though, because aggregations provide for huge performance improvements with minimal effort.

That being said, if anyone has any ideas, I’m all ears! Below is my proof of concept.

ParametersDemo

Should You Get Certified?

There was a long discussion on Twitter yesterday about whether you should get certifications or not. While the answers were all over the place, there were a number of common refrains. The general consensus was that experience is always better when possible, but that a certification is better than nothing.

This being a complex topic, I thought I’d lay out the various factors to give a more comprehensive answer than you can easily fit in a tweet.

So the first two questions we need to answer are “Why do certs exist?” and “Why do people take them?”. Without these, we can’t give a good answer to whether you should take them. Certifications often exist for reasons that have nothing to do with your personal best interest. It is necessary to understand that fact.

Why do certs exist?

A vendor like Microsoft does not create a certification as an act of charity. Certifications are an expensive thing to create. I wrote all of the questions for the Pluralsight Power BI skill assessment and it was a gruelling process. I was asked to write at a different level of understanding and to try to have plausible distractors as wrong answers.

While they do charge money to take a certification exam, I suspect Pearson takes most of that money and Microsoft likely breaks even, if anything. Oracle, on the other hand, charges quite a bit for their certifications. So we have to ask, why would Microsoft or another vendor create a certification? These driving factors will shape the content inside a certification, so it is important. A few reasons come to mind:

  1. Marketing
  2. Business/partner relations
  3. Technician adoption
  4. Market driver

Now it’s worth saying that these reasons apply specifically to a third party vendor. Platform neutral companies like CompTIA are trying to act as an accreditation body and have different motivations.

Marketing

Certifications are a marketing tool. They are a way to highlight new features in a new version of SQL Server, for example. That highlighting is also done out of necessity so that people can’t auto-pass the latest version of a certification.

Additionally, having certifications looks good on a company and is an indicator that the technology is fully-baked. I remember years ago looking into Vertica, a niche columnar database engine way before the time of Power Pivot. I remember looking into getting certified in the technology and thinking “Okay, they are pretty niche, but they have a certification path, so there must be something here.”

The same thing could apply to Microsoft and newer technologies like Power BI. It took a number of years for Microsoft to come out with a certification for that technology, in part because it changes so quickly. I could easily see an IT manager that is considering adopting Power BI using the existence of certifications as a sign that a) there is a path forward and b) Microsoft has made an investment and is unlikely to dump the technology.

Business/partner relations

Businesses need a way to assess the skill level of job applicants as well as growing employees. Certifications, along with college accreditations and years of experience are ways to measure someone’s skill level. Now, certifications aren’t necessarily a good way of measuring skill level. Often they measure memorization skills, certifications can be cheated, and sometimes certifications are out of date with the real world. But they are quick and easy from a business perspective.

At my last job, if I recall correctly, to get to level 2 on the help desk you had to pass the CompTIA A+ exam. This served as a clear bar of entry, and because turnover was so high on the helpdesk, reduced the amount of work assessing the skill of people who were likely to be gone in a year anyway.

Microsoft has a similar problem with Microsoft partners. Microsoft wants as many partners as possible, as long as they are competent and credible. So, how does Microsoft give a partner their stamp of approval without going through and an expensive auditing and assessment process? They use 3 criteria:

  1. Social proof. To become a Microsoft partner, you need 3 customers that will vouch for you.
  2. Certifications. You are expected to have 1-2 people with certain Microsoft certifications.
  3. Capital. You need to pay a certain fee to become a Microsoft partner.

Technician adoption

It is in Microsoft’s best interest for there to be a clear path forward for people to learn their technologies in order to increase technician adoption. If they want technicians to start using Azure, for example, there needs to be a smooth path from remembering to understanding to application.

Certifications represent a small piece of this, along with training materials, Microsoft conferences, evangelists and so on. In theory, certifications represent a stepping stone to becoming an expert in a new technology.

Market Driver

Did you that Microsoft desperately wants you to learn PowerShell? They likely see it as a key differentiator and a way for them to stay relevant in the age of DevOps and infrastructure-as-code. So, let’s say that you are an executive at Microsoft and you want more people to use PowerShell, how do you accomplish this?

Well, one option is to add it as a requirement to many of your IT Ops certifications. And that’s what Microsoft has done. If a vendor has a large enough base of people taking exams, they can drive what people have to learn via the certification requirements.

Why do people take certification exams?

There are two reasons people take certifications:

  1. Accreditation
  2. Learning a technology

The important question is are they good for either of those?

Accreditation

In terms of accreditation, certifications are a mixed bag and can even be a negative indicator. By definition, the things that are easiest to write for standardized tests for fall near the bottom of Blooms Taxonomy. And so despite a decent variety in the types of questions Microsoft uses, tests are naturally going to cater more toward people who are good at book learning and memorization.

image

Another issue is that is often easy to cheat on a certification. Testing centers do a good job of watching your conduct and verifying your identity. So in-person fraud isn’t an issue. However, it’s pretty easy to find dumps of the exact questions used on an exam. I once had a co-worker that had accidentally used a dump to study and was asking the team about the right answer on a question. I pointed out to him that that was a verbatim question from the exam I had just taken.

Microsoft is making strides to address these two issues by introducing labs into their new role-based certifications. This will address the roteness and cheating.

Compared to what?

An important piece of this is compared to what. The general consensus was that real, hands-on experience is almost always better than certifications. But for many new to the field, especially if you don’t have a bachelor’s degree it can be a catch-22. You need experience to get a job and you need a job to get experience. Certifications can be a way to break this paradox, along with internships, boot camps, MOOCs, home labs and side projects.

Another issue is if you are settled in a job and want to pivot in another area. For example, let’s say you are a DBA that wants to pivot into Machine Learning. Part of the challenge is you are likely not gaining direct experience in your current position. Getting a certification in machine learning could help show that you have enough knowledge to make that transition.

If you have the option to do an internship or a real project, I would recommend that over getting a certification. But lacking that, a certification is a decent option and much better than nothing. Just be aware that the content can be skewed and not always in line with the latest best practices.

Who is looking at them?

Another thing to consider is who is going to be looking at the fact that you have a certification? As I said, they can be a bit of a mixed bag and I believe that IT managers understand that fact.  However, in many organizations, it isn’t IT who is the first pass but HR. HR, by not being domain experts, are more likely to lean on easy metrics and more likely to value certifications. In a pile of resumes, a certification could be what gets you past the first filter.

Learning Path

The other reason people get certifications is as a way of learning. The general opinion on this is decidedly negative.  Much of this is because of the skew we talked about towards new features and memorization. An ideal certification exam would give you a real problem and force you to solve it with the tooling. The second half of the Microsoft Certified Master was like this and was very well respected. It was also expensive and cost thousands and thousands of dollars to take.

Additionally, if you are just looking to learn, there is a vast set of free and cheap resources to learn. Often times you would be much better off with a technical book and a home lab, just banging away at real-world tasks.

But that being said, I have a much more positive opinion of certification exams. I think a lot about a quote by Donald Rumsefeld:

Reports that say that something hasn’t happened are always interesting to me, because as we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know.
But there are also unknown unknowns—the ones we don’t know we don’t know. And if one looks throughout the history of our country and other free countries, it is the latter category that tend to be the difficult ones.

When you are just first starting with a technology, it is utterly overwhelming how many moving pieces there are. I find certification invaluable in getting a lay of the land and addressing those unknown unknowns. Certifications can be a way of getting past impostor syndrome and feeling like you understand a technology.

Are certifications skewed and sometimes wrong? Yes, absolutely. But they are also generally comprehensive and touch upon a wide swath of subjects. I think a lot of when I got my second certification, specifically on SQL Administration. I remember reading about high availability and thinking “I don’t need to know this, we have like 2 SQL servers.” Which was true, until I accidentally became a consultant and was configuring mirroring for customers.

Summary

Certifications are a flawed tool, often skewed toward certain subjects, outcomes and types of learning. But despite all of their flaws, they can be a way to get your foot in the door somewhere or get a broader understanding of a technology. They shouldn’t be your first choice, but they shouldn’t be ignored either.

Create a Power Query custom data connector in 10 minutes

Getting set up

When I heard about custom data connectors for Power Query, I had assumed there would be a lot of work involved. While there is definitely quite a bit of work in implementing advanced features like query folding,  creating your very first connector is simple.

So, first you need Visual studio installed and the Power Query SDK installed as well. Once you do that, you will see Power Query as an option when creating a new project. Visual studio will also have support for .pq or Power Query files.

image

Once you create a new data connector project, you are presented with two main Power Query files. The first one, is simply a test query you can run on demand to test your connector.

image

The other file is your data connector. It has a bit of boilerplate to specify the types of credentials it accepts and publishing details such as beta status. Otherwise there is just a little bit of code defining the actual functionality. In this case we are defining the Contents function, which acts as a hello world:

image

If we run it as is, our test query will be run and we’ll see the results in a testing program.

image

Adding a function

So now, what if we want to add some more functionality? Say maybe a function to square numbers. First, we’ll add a SquareNumbers.Squared function to the main file:

shared SquareNumbers.Squared = (x as number) =>
let
y = x * x
in
y;

Then we update the sample query to call out function:

let
result = SquareNumbers.Square(7)
in
result

And it works as expected:

image

Exporting the connector

Once you have the connector working the way that you want,  run a release build in visual studio. This will create a .mez in the bin/Release folder of your solution. Copy that file to the [Documents]\Power BI Desktop\Custom Connectors folder. You will likely have to create that folder.

Whenever you open Power BI Desktop, it will recognize the connector but won’t let you use it because of security settings.

image

To get around this, go into the options for Power BI Desktop and then security. Under security, select “Allow any extension to load without validation or warning.” Then Restart Power BI Desktop.

image

Now we can see it is available in our list of connectors.

image

By default it will call the Contents function:

image

But we can easily modify the M code to call our squared function as well.

image

Which will give us the output we expect.

image

What next?

If you are interested in going deeper with Custom Data Connectors, such as adding a navigation view or  query folding, check out the TripPin tutorials.

T-SQL Tuesday #111 – What is your why?

For this T-SQL Tuesday, Andy Leonard asks us, “What is your why?”, why do you do what you do?

Many of the answers from others are heartfelt and admirable. Mine are not. Most fall under the category of either dumb or dumb luck.

Starcraft and Scholastic

My very first taste of programming was back in first grade or so with LOGO. I thought it was a lot of fun but never did any significant after that. I first got my second taste of programming with Starcraft custom maps. The year was 1999. I know this because my username was eugene11.  I’ll let you do the math. Starcraft had a scripting logic that was basically a simple if/then system.

But the day I became a true programmer was when looking in the back of a scholastic catalog, I found Interplay’s Learn to Program BASIC! The description promised to teach me how to make video games.
Interplay's Learn to Program Basic - Junior High Edition (Windows 95/Mac OS Required)

It was pretty easy to follow along with the lessons, although I didn’t truly understand what I was doing.  I could make small modifications to the games they provided but didn’t understand half of the logic therein.

In high school I would make video games on my graphing calculator, because I was bored. I also participated in a game jam called PyWeek.

Brothers and ex-girlfriends

When I went to college, I figured I’d either be a programmer or a professor. I went to Penn State beaver because it was close, cheap and my brother graduated there, so I already knew one of the professors.

In my senior year, I needed to take an elective in my major. I took Business intelligence, because the other option didn’t work with my girlfriend’s schedule. Remember when I said some of the reasons were dumb?

Later on I asked the professor for a job. He worked full time as the head of Business Intelligence at Bayer Material Science. He hired me and I worked there for a year. Ultimately, though, it wasn’t a good fit.

My next job was labeled .net/SQL developer. But after I was accepted I realized it was 90% SQL and suddenly I was a DBA and the new BI department. This part falls under the dumb luck, and it was lucky. I was in a role that I could grow into and over the years ended up working as a BI consultant within the company.

While much of the path to BI was an accident, I’ve stayed with it in part because of the strong community and the friendships I’ve made. I really wonder if I’d find a community as strong and giving as #sqlfamily in a different field. But also, if I’m being honest, because the opportunity cost is high and this is a well-paying profession.

Mom and my new adventures

My career for past 7 years has largely been an accident. I’ve always loved computers and thinking, but I can hardly say I chose this field. But back in September, I quit my job to work for myself. I did this to work on my physical health, my mental health, and have more control over my career.

And honestly, why not? Worst case I have a gap year on my resume, and I go back to get a regular job, right?

I’ve written about the lessons learned so far and more recently, I’ve discovered another why. Working for myself allows me the flexibility to take care of my mom. And so why not becomes much more of a why.

The real reason to become self-employed: being a caretaker.

Normally, I’d spend a few hours writing some eloquent 1,000 word blog post, with a dozen sub-headers and very mild puns. Today is not one of those days, as much as I want to make sure I do the topic justice. I’d rather get this written than push it out.

My rickety raft

If you are looking to become an independent consultant for the money, welll I’d advise against it. I wrote before about lessons learned and while you can make a lot of money, it’s a big slog and a big stress. I would compare it to trying to build a big wooden ship, from a rickety raft while you are using the raft.

Only now, about 5 months in, are things stable enough that I can relax. Our finances are solid for the next 3 months and we’ve finally gotten some walls on our raft. It’s still ricketey, but it’s going to take more than any single wave to topple us. It will likely take the rest of the year to get things completely stable.

If I was looking to make more money, the smart move probably would have been to take a job with “Senior” in the title and get a 20k pay bump.

The real benefit

There are a handful of reasons why I made this leap. I was tired of feeling overworked, I wanted to give this a shot, I wanted to work less hours, I wanted to travel more and give more presentations, etc. But a least a third of it, was knowing that in 5 years, or 10 years stuff was going to hit the fan with my mom.

I’m currently the primary caretaker for my mom. She lives independently and gets a lot of services from a Medicare replacement program, called Life Beaver County. I usually describe it as adult daycare meets medical center. They clean her place once a week and have nurses make sure she takes her medicine. For a while, my responsibilities were just grocery shopping every week and occasionally taking her out to go shopping.

But in the back of my mind I knew that as some point those needs were going to escalate. I knew at some point down the road there was going to be a year where she wasn’t well enough to live totally independently but not ill enough to go into assisted living. And very recently, I’ve gotten a, ahem, new commute.

My new commute

Things had escalated recently to the point where I knew that if my mom didn’t get more care, her physical and mental health were going to deteriorate. And so, somewhat reluctantly, I decided to start driving my mom to Life Beaver County every morning.

I am utterly blessed to be able to do so. While it’s a pain to spend 60-90 minutes every morning waking up my mom, getting her ready, taking her in; I am truly lucky to have it as an option. Right now I’m optimistic that her physical and mental health are going to greatly improve and that this could be the difference between being in a home in 10 years instead of 2.

Working for yourself is an utter pain. It requires a whole new set of skills as difficult as learning to be a manager, in my mind. But it also brings some options that just aren’t available with most jobs.

T-SQL Tuesday #110–Automation is relative

The theme for biggest failure of my career, I wrote that I would have automated things more. What was that automation? Nightly ETL with stored procedures, maybe SSIS + BIML if I was smarter. If I was doing the project all over, it’d wouldn’t be called automation it would be called best practices!

So, what project would I definitely call automation that I have done? Well I can only think of one project, and it’s pretty silly. 4 years ago, I was using the Raspberry Pi as my main computer. Over the past few years I’ve tinkered with the Raspberry Pi and I’ve built some dumb BASH scripts to install and configure a new install of the OS.

It’s not fancy or impressive, but it makes my life easier and I’m happy with it. In the future I’d like to do something similar with windows so I can spin up a whole Hyper-v lab without any work.

First impressions: SQL Server 2017 Administration Inside Out

I recently had the pleasure of reading SQL Server 2017 Administration Inside Out by William Assaf, Randolph West, Sven Aelterman, and Mindy Curnutt. I love this book. While I haven’t finished reading it yet, I wanted to post my first impressions. I’ll update this post once I’ve finished the book.

I recommend this book for accidental DBAs, junior DBAs, and senior DBA’s with a sense of impostor syndrome. I would NOT recommend it for people with no experience with SQL Server or for senior DBAs looking for a deep dive. This books aims at breadth not depth.

To emphasize that point, take a look at the table of contents below:

  1. Getting started with SQL Server tools
  2. Introducing database server components
  3. Designing and implementing a database infrastructure
  4. Provisioning databases
  5. Provisioning Azure SQL Database
  6. Administering security and permissions
  7. Securing the server and it’s data
  8. Understanding and designing tables
  9. Performance tuning SQL Server
  10. Understanding and designing indexes
  11. Developing, deploying and managing data recovery
  12. Implementing high availability and disaster recovery
  13. Managing and monitoring SQL Server
  14. Automating SQL Server administration

That is, without a doubt, a lot to get through. Each chapter could easily be its own book. Instead, I see this as a book to fill in the gaps. The text is perfectly suited for that middle level of complexity, where you have heard of a concept, but it doesn’t click yet. This book made things click for me.

As an example, let’s take look at chapter 2. In this chapter they run through the core components of a computer: memory, CPU, storage and networking. They are fundamental concepts for any IT worker. How easy would it be to say “Everyone should know this.” Despite how basic these concepts are, the authors neither condescend nor assume prior knowledge.

For example, when there are complex concepts such as RAID or NUMA, they take the time to explain what these things mean, why they are important and why are DBA would care. Reading these sections, I felt a sense of gratitude because use when people talk about these concepts, I never quite get it. Reading this book, I felt like I “got it”.

So, you may be wondering why I wouldn’t recommend this book for people without SQL Server experience. First, It’s big. It’s over 704 pages long. Second, the book is very good at filling in the gaps of an existing mental model. It would need more detail and information if you were starting out with almost no mental model, such as a college student.

Regarding tone, the book is quite technical and detailed at times. For example, it explains each and every column in components of the Activity Monitor. That being said, the authors do try to inject a bit of humor here and there. They also aren’t afraid to call out worst practices, such as running Database Tuning Advisor in production. I appreciate a book that a little bit opinionated.

One last comment on the book: I appreciate that it is a book about modern database administration. It acknowledges the realities of Azure and PowerShell, two tools required for any dba moving forward.

So, is this book worth buying? I would say yes, with some conditions. First, there is no question regarding the quality of the content. It is well written and the authors are experts in their field. The first condition is to make sure you are actually going to read it. It’s a long book and adds more value as a whole, not as individual chapters.

Second is a matter of your skill level. If you are looking to fill in gaps in your knowledge of SQL Server overall, you will fall in love with this book. If you are either very junior or very senior, you will feel quite frustrated. This is very much a “Goldilocks” book: not too deep, not too light, just right.