kfk

15 ms·

121.
by kfk 5y ago
low-code tools help domain experts do amazing things but eventually lack of simple understanding of things like data structures, inferential statistics, etc, always hit back... hard. By the way it’s the same issue with amazing programmers t
122.
by kfk 5y ago
Sound advice. I would add find allies. Executive types are very politically savvy and will listen to you more if you have other executives or influential people backing you up.
123.
by kfk 5y ago
Sort of. The issue is coupling data with sql databases doesn’t play well with even basic inferential statisics so you end up replicating data based on analytics use cases. Having parquet files in a cheap storage system that can be queried w
124.
by kfk 5y ago
I add pension and sometimes health insurance too (if it’s good like in Germany I don’t). But you have a point and I should define it as “cost of living in a country for above 180 days per year” not taxes.
125.
by kfk 5y ago
I am from a similar town. In my town you have the mountains at walk distance and the seaside (including the Amalfi coast) at 1-2 hours. I used to go run up a mountain to another village and come back down an old 1km staircase. Housing is ch
126.
by kfk 6y ago
I got really deep into black soldier flies at some point and I can't understand why we are not turning organic waste into fly larvae. Larvae are 80%+ fat which means biodiesel + expensive chemical compounds like chitin. On the other en
127.
by kfk 6y ago
I had some successes moving to kanban project management following github project kanbans. It took me 2 years but management is now starting to come on board. With kanban you can talk priorities (what goes in progress) and future (what goes
128.
by kfk 6y ago
You see "we'd like to predict hardware expenditures over the next n years" for me is a red flag. When I hear those types of requests I hear "we'd like to shift responsibility and ownership of our financial estimates
129.
by kfk 6y ago
I agree we need to start from an mvp and so with a data model, but does this model really need to be AI or ML? My counter point to your counter point is yes, we need a model, but probably the initial one can be done with simple BI/SQL
130.
by kfk 6y ago
They also teach very siloed thinking so if I studied "Mechanical Engineering" I am not supposed to know how to do "Python Programming" unless I take courses. I think on top of everything else we need people that are not
131.
by kfk 6y ago
"We need digital literacy and common sense, not someone who can program a Raspberry Pi to control a robot," Mr Howell told the BBC. What is lacking most of the times in university hires is common sense or a good grasp of foundat
132.
by kfk 6y ago
what about finance?
133.
by kfk 6y ago
This makes sense. I am working with dask and it will become harder to keep this running in our “enterprise” aws setup as it’s open source with no vetted credible support company behind.
134.
by kfk 6y ago
Just be warned, if you are used to vba you might feel constrained in the various dashboard tools we have today (Tableau, PowerBI, etc.). I am convinced we need more than that, we need tools to build web apps that allow data entry.
135.
by kfk 6y ago
From my experience the issue with monoliths is organizational and cultural first, then technical (maybe). Monoliths are usually managed by 1 team (IT for instance). This 1 team has never had to collaborate with other teams on building/
136.
by kfk 6y ago
Some of this new tech is simpler to run than MySQL/Postgres like S3/Spectrum. Excel is ok for last mile type of analytics but it doesn't work if you are looking for serious insights. Excel also generates a significant amount
137.
by kfk 6y ago
These are great innovations but can we please take a moment to realize 99% of companies are still stuck with a blend of excels, access and sql servers? Why is adoption of this new tech so poor? Maybe it has something to do with the amount o
138.
by kfk 6y ago
At least in a business setting I think the whole concept of a project needs serious reconsideration. We end up more often than not trying to fit developing a digital product into an enormously stupid gantt chart to execute some poorly thoug
139.
by kfk 6y ago
I fear ML and AI are taking the lion share of analytics resources in most big companies and that's just not right. We still have basic problems with data integrity and blending. Getting a real end to end view of any business process is
140.
by kfk 6y ago
I have been working with small data few years. We built an internal library to move data in/out of systems and the schedule this into jobs. We mostly leverage S3 and Spectrum. The major complexities we found were in scheduling, proxies
141.
by kfk 6y ago
I would agree broadly but “normal” salary contracts are burdened by heavy taxation in most countries. A contractor could pay really good private healthcare, build a pension fund, insure for disability and a bunch of other things and still
142.
by kfk 6y ago
I am putting together course aimed at Python beginners in enterprise, I too have experience in Finance. If someone is interested I would love some early feedback, you can contact me my email is in this profile bio.
143.
by kfk 6y ago
Hi, this is a late reply but I am actually pulling this off. Your points above all make sense but are around the desktop paradigm. If you move to the cloud paradigm not only most of the points go away but you gain a lot by having data all i
144.
Ask HN: Any good resources out there on putting together consulting packages?
15 points by kfk 6y ago|1 comments
145.
by kfk 6y ago
I don’t know I was exited to use json for a couple of months but then I needed the same data for analytics and I quickly missed sql.
146.
by kfk 6y ago
It depends right? If your app is a dashboard this could be less work when using smart cashing. You could cache entire html fragments on the server for specific user defined filter values. If you are serving hundreds of users you’d have dash
147.
by kfk 6y ago
Coming at this from data & analytics, my hope with serverless is to drive some management focus into the underlying data structures that support our applications. In Enterprise world when software grows the hard thing to do is integrati
148.
by kfk 6y ago
Some points are good but I challenge the assumption that our data is a mess because of “unstructured data”. In fact the one example the author makes is of highly structured data - salesforce. The issue I see on my end is that we keep buying
149.
by kfk 6y ago
What about Microsoft enterprise offerigs, oracle, salesforce? To me they also offer platforms, but they tend to mostly sell their own products on those.
150.
by kfk 6y ago
If the app lives in full isolation and your focus is data ownership desktop is probably better, but I struggle to understand how it can be better tech for any other use case. I work in a big company so maybe I am biased but 1) every app eve

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