dmartinez's comments

Here you go:

https://blog.acolyer.org/2018/02/20/putting-data-in-the-driv...

“The Proper Hotel” in SF has tablets in the rooms. They run android and it works great. Definitely better than installing an app.

The room was expensive though, I prefer AirBnB with super hosts.

So definitely not a feature that alone would get me to come back.

Source: I stayed there.

Does anyone know of guides that are similar in style/scope to this that apply to server-side development?

I wonder if the answer to meetings is making participation more meaningful? In some MBA programs, the purpose of the class is the discussion of some case that everyone has read. In this way, you get more out of participation by listening to other people’s thoughts and combining them with yours.

There is also a strong case to be made for the “radical transparency” that has made Bridgewater so successful [0]. This system has the capacity to accelerate learning if it were implemented more widely.

[0] https://www.ted.com/talks/ray_dalio_how_to_build_a_company_w...

I've noticed this pattern too. I think people who manage to make it in profitable physical trades seem to have a stronger grasp on what is an illusion and what is real.

Artist/bohemian collectives across the US harbor these same kinds of people as well.

Because people do not understand statistics. A great example of this is the Gambler's fallacy [1].

[1] https://simple.wikipedia.org/wiki/Gambler%27s_fallacy

I like to think of this as "human random". It's easier to get along with people using this type of algorithm.

After scanning some of the more promising subreddits, I made a few notes:

/r/augmentedreality

  - 6K Subscribers
  - Demos of things people have built
  - Promising

/r/virtualreality

  - 39K Subscribers
  - Mix of gaming news and "see what I built" articles

/r/vr_ar_ux_design

  - 220 Subscribers
  - Very UX article heavy

/r/AR_Innovations

  - 1K Subscribers
  - Mix of consumer news and development resources about AR

/r/virtuality

  - 1K Subscribers
  - Mostly hype about VR, few development resources

/r/Vive

  - 77K Subscribers
  - Mostly about gaming, not development

Agreed, it's interesting that competitive differentiation can succeed based on having the lowest UX friction. Google knows how to optimize performance, but design can trump performance in certain areas. Certainly, Amazon knows how to make a performant site, but it's their adherence to customer experience that gives Twitch the edge here. My money is on Twitch.

From reading the top comments, an interesting conclusion is that messaging apps like Slack do not have drawbacks due to technical problems, but due to cultural problems.

These problems can be mitigated in a work environment where you can enforce cultural mores, but in a social environment (like within a group of friends or some other non-work related community) this becomes more challenging.

There is probably room in the market for a messaging app that prioritizes reaction communication and suggests that more thoughtful communication take place in a more permanent project management tool.

In the future, the right to anonymity is a right that will become worth fighting for.

Wow, this was a great read. I wholeheartedly agree that very few people read source at a deep level, but your link explains why.

We should read source code sometimes (maybe) to deepen an understanding of how someone might think about the problem differently. In the link, Donald Knuth says he enjoyed the challenge of exploring a piece of software that had no documentation in order to figure it out.

In light of this, my answer to "what code should people read" is that you should read (really, decode) the source code of libraries competing to solve the same problem. This would lead to the greatest yield in terms of uncovering core shared concepts and core unique concepts.

You could compare Vue and React to understand how two different parties thought about componentizing the front-end. Or you could compare Django and Flask to see how a batteries-included MVC framework compares to a lighter alternative.

I tend to think that substituting time thinking on walks is the greatest time spent during a workday. I can think much more clearly taking frequent 20-minute walks throughout the day.

Microsoft Power BI [0] is only $10 per user per month, while Amazon Quicksight [1] is $9 per user per month.

In the startup space, there is also Mode [2] which has reasonable starting pricing at $25 per user per month.

I've used all three, and my personal favorite is Power BI. They are all great though.

[0] https://powerbi.microsoft.com/en-us/pricing/?b=1

[1] https://quicksight.aws/pricing/

[2] https://about.modeanalytics.com/pricing/

I was tasked with rolling out a "self-service" BI/reporting tool for all of our internal users a while ago. My company is on AWS, and at the time QuickSight was just getting ready to begin the preview period. We felt QuickSight would be a good option since our data was already in RDS and we had just decided to buy a Redshift cluster as well.

I evaluated trial versions of the following tools: Looker, Periscope, Mode, Tableau, QuickSight, and Microsoft PowerBI. They are all very similar in my opinion and at the end of the day will all provide the ability to view dashboards and reports through a web interface. The tangible differences come down to how exactly data refresh happens and the customizability of dashboards and reports. Each tool also offers varying degrees of useful edge features like sharing, alerting, privileges, and saved queries. I eventually settled on Microsoft PowerBI.

The biggest advantage for using PowerBI in my mind is the degree to which reports can be customized. Compared to QuickSight, PowerBI is leagues ahead in terms of customization, while still providing enough predefined templates that you are not constantly thinking about trivial styling choices. More than any other feature, Microsoft gets this right and executes on it better than any other BI tool I've tested. There is even a growing gallery of community visualizations that can be used for free (https://app.powerbi.com/visuals/), and you can write your own visualization templates using TypeScript.

I've been using PowerBI for several months now, and each month Microsoft releases an update that targets the biggest frustrations I've had, such as lack of pre-defined data connections or pre-defined styles. It's still missing some key features I would like (different forms of aggregations, etc) but it's still better than QuickSight, no question. As far as pricing goes PowerBI actually starts with a gratuitous free tier. The free part ends when you want to enable the "groups" feature, which allows you to set up privileges for which users can view certain dashboards. The paid version also allows more data to be stored in the SaaS. You need a premium account which is $10/per user/per month. The pricing + the speed of creating and uploading reports made PowerBI the winning tool. So far the team has been very happy with it.

The proper comparison to Amazon's offering would be Redshift. The reason you would go with Redshift over BigQuery is if your data is already in RDS, then migrating to Redshift is fairly straight forward (just whitelist the IPs in your security groups).

As others have stated, this offering directly competes with Google's Data Studio which was recently just announced.