In order for the DEA to get information they want in other ways, they are likely to share these data with the local jurisdictions so they then can use it for revenue generation.
My problem with these isn't even the 'being tracked' issue, it's that the Government (state or federal) was not meant to be a revenue generation machine. Unfortunately, governments use these tools not for safety, as they claim--especially in the instances of speed/red light/LPRs, but for revenue generation. They send automated civil fines for speed/light violations (potentially taken entirely out of context with no recourse) or to fine owners for any number of violations related to license plates.
We have to decide what levels we're willing to accept as intrusion. Papers please are not acceptable to me nor are these civil, out of context, fines. YMMV.
How about when I ask other leaders, regardless of gender, how best to approach a situation?
How about the members of my team who are analyst/developers and are generally meek and uninterested in the day-to-day dealings with others--even when they're male?
I mean, I understand you're trolling and trying to be cute but it's really kinda silly.
I am a developer and I lead a highly technical team of 7. My team is all male and it is mainly my fault as I brought 3 of those people on my team in myself. The other 4 were candidates brought forth by our Talent Development team, only one candidate ever in my 4 years here was female.
That said, I do watch as females in the organization are pounded into verbal submission by male counterparts. We are a challenge-first culture and the females do generally back down. When asked for advice, I remind them they are brilliant and they have incredibly valid opinions and a wealth of knowledge to share and don't let others walk on them.
It's very possible the reason females don't flock to this industry is a chicken or the egg problem. Maybe they don't like it or maybe the male dominance treats them so poorly or, at the very least, with such indifference, they aren't interested.
I work hard to be gender agnostic and I know I still harbor unconscious gender bias but the dripping disdain across most of this thread is a bit brutal, TBH.
I worked in a unionized environment for 10 years; I make 6x as much as I did then.
My biggest issue with unions, aside from their political lobbying and, previously, mandate I pay them a percentage of my salary to give me what they consider to be adequate representation is that should, for some reason, make the same as or less than the amount my coworker does when they are less educated, less talented, less able, and less efficient just because they've been there longer than I have.
This is what comes to mind when someone says union to me.
Using older phones which were released with multiple major iOS versions in between (e.g. iPhone 5S).
Keeping your iPhone running the same major version of software it was released with for its life is the best way to keep these sorts of issues from occurring (yes, this comes with risk, keep yourself protected) while greatly exceeding its planned obsolescence.
I bought an 8.1MBP in March of 2012. Aside from a new SSD upgrade installed last December, I haven't done anything to the machine and it's still rock solid.
I have a work 13.1MBP and compared to the Dells most others use, I never have a slow down or require repair.
I don't care what tech they're using or how much it costs: I still recommend it to other people because they run well for a long time and don't require as much maintenance as their PC counterparts.
Maybe you should have been modded as "Funny", instead? Because, as a Data Engineer who works side by side with Data Science, I can absolutely guarantee you, in many cases, they are not very good at doing anything at all in SQL; they are way more into pre-built R and/or Python packages to do their work.
The real fucking heroes are the Data Engineers (ETL guys for you old schoolers) who are doing the operational pipelining of the data flows in and out of the models built in isolation by Data Scientists.
Still, todayâ(TM)s vote means the proposal will have to go the House where Democrats will need to convince 25 Republicans to support net neutrality in order for the measure to passâ"and they have until January of next year to do it.
So, as of right now, this is largely a gesture but still a good first step.
Once you're already at Inbox Zero, you can generally manage, in the immediate, whatever email comes through.
Otherwise, in the case of the ~1% of emails which I cannot immediately deal with, they sit in my inbox until I can. If there's an unread email in my inbox it means it is of high importance and I need to keep looking at it until it's resolved.
Over the years, I've used any number of email clients which were everything from POP clients to shell (mutt/pine with procmail) to webmail (tried em all, including my own hosted ones) to GUI (Groupwise/Outlook/Maill.app/etc).
I haven't ever had a favorite, although Groupwise's detailed transparent tracking features were great to CYA, especially in a union environment where everyone was backstabbing one another. I currently use the latest Outlook (Mac) and it works ok enough for the desktop and I use any number of other clients on our Linux VMs for reading through job messages or scripting their sends (mutt, mail, etc).
But the only thing I've ever stuck with is Inbox Zero, which I've been at least since before 2004 (when my GMail archive began). It's so incredibly worth it and doesn't require any special tools or client, only dedication.
Unfortunately, Microsoft only supports their Mobile Office applications in the Google Playstore, not the actual and, in my case, I need the actual ones.
I work in marketing analytics and we're constantly crunching through massive datasources which require servers/cloud-based systems to make the work and timing managable.
A simple MacBook Pro with 8GB and an i5 is more than enough for me to load RDP, terminals for SSH, and the applications I might be using locally.
Honest question, being I'm doing 100% of my development on remote machines either at the data center or in the cloud, how many people require actual big horsepower on their machine to get their jobs done?
I sat down at one of the computer stations and opened an online speed test. Even there, speeds were far from broadband: 2.31 Mbps download, 0.79 upload. Enough to check your email or go on Facebook, but not much else.
My lake home has what is advertised as 1200k/260k (yes, Kbps) DSL service. This 2.31mbit would be a 100% upgrade!
When a lightning storm knocked out the DSLAM and a tech had to come out to the cabin, he informed me the entire lake (around 100 homes, about 25 of which with DSL) is serviced with *four* T1s (~6mbit for 25 homes).
While Netflix somehow works just fine on this level of service, I can't do anything else (even SSH or RDP, never mind the web or even large emails) while the kids are watching Netflix. So, 2.1mbit, tested? That's a fucking dream out there.
TDS Telecom has been 'servicing' the area forever and has zero intention to upgrade any tike in the near future. They literally have told me "go somewhere else if you don't like it," before laughing and ending the call.
Rural internet is bullshit and our current FCC is not going to make it any better. They want us to use mobile internet because they have already convinced the population that it's ok to be charged by bandwidth, not just speed. But even that is severely lacking. There is a single LTE tower and I'm sitting between it and a 3G-only tower. Between the battery drain of the phone hopping between the two (even if you set it to disable LTE) and the fact it's probably lit up with a few T1s, only, we're no better off there.
I moved my way up through the ranks over the last 15 years. While I understand the view of the majority of Slashdot about management, I try my very best to empathize with my team and work hand in hand with them.
Call me all the names you want but know semantics mean nothing; actions mean everything.
I work in Data Engineering, leading teams of what used to be known as ETL Developers building analytics warehouses and datamarts to power and operationalize models built by data scientists.
These aren't new roles, by any means, they're simply coming out of the dark reaches of organizations and becoming an integral part of successful business. DE and DS resources are expected to make sense of non-sense and present those findings to wider audiences than even 3-5 years ago, including C-level executives.
The company I currently work for has a large number of numbers-focused resources which span the gambit and *ALL* of them could benefit from learning the basics of how to take the data they use to the next level without having to rely on DE/DS teams to get it to them.
Just like spreadsheets are consumed and used by all levels of an organization, in a few years, DE and DS tasks will likely see similar amounts of proliferation across job titles. Yes, this approach can be fraught with challenge; however, it would serve any one who is in a field where they're analyzing data in spreadsheets or otherwise collecting and understanding data to take at least a basic course and bring themselves out of Excel pivot/macro/VBA hell into something more manageable.
TL;DR - take the course and apply the learnings to your own stuff. Maybe you'll end up in one of the top careers in the country.
Slashdot Mirror
In order for the DEA to get information they want in other ways, they are likely to share these data with the local jurisdictions so they then can use it for revenue generation.
https://www.winonadailynews.co...
Depends on local jurisdiction.
My problem with these isn't even the 'being tracked' issue, it's that the Government (state or federal) was not meant to be a revenue generation machine. Unfortunately, governments use these tools not for safety, as they claim--especially in the instances of speed/red light/LPRs, but for revenue generation. They send automated civil fines for speed/light violations (potentially taken entirely out of context with no recourse) or to fine owners for any number of violations related to license plates.
We have to decide what levels we're willing to accept as intrusion. Papers please are not acceptable to me nor are these civil, out of context, fines. YMMV.
Wow. Youâ(TM)re absolutely deranged; itâ(TM)s a wonder you posted that anonymously.
How about when I go to female leaders for advice?
How about when I ask other leaders, regardless of gender, how best to approach a situation?
How about the members of my team who are analyst/developers and are generally meek and uninterested in the day-to-day dealings with others--even when they're male?
I mean, I understand you're trolling and trying to be cute but it's really kinda silly.
What agenda? The one where I openly welcome working with people, regardless of their gender?
How is that an agenda from which I would profit?
I am a developer and I lead a highly technical team of 7. My team is all male and it is mainly my fault as I brought 3 of those people on my team in myself. The other 4 were candidates brought forth by our Talent Development team, only one candidate ever in my 4 years here was female.
That said, I do watch as females in the organization are pounded into verbal submission by male counterparts. We are a challenge-first culture and the females do generally back down. When asked for advice, I remind them they are brilliant and they have incredibly valid opinions and a wealth of knowledge to share and don't let others walk on them.
It's very possible the reason females don't flock to this industry is a chicken or the egg problem. Maybe they don't like it or maybe the male dominance treats them so poorly or, at the very least, with such indifference, they aren't interested.
I work hard to be gender agnostic and I know I still harbor unconscious gender bias but the dripping disdain across most of this thread is a bit brutal, TBH.
I worked in a unionized environment for 10 years; I make 6x as much as I did then.
My biggest issue with unions, aside from their political lobbying and, previously, mandate I pay them a percentage of my salary to give me what they consider to be adequate representation is that should, for some reason, make the same as or less than the amount my coworker does when they are less educated, less talented, less able, and less efficient just because they've been there longer than I have.
This is what comes to mind when someone says union to me.
Using older phones which were released with multiple major iOS versions in between (e.g. iPhone 5S).
Keeping your iPhone running the same major version of software it was released with for its life is the best way to keep these sorts of issues from occurring (yes, this comes with risk, keep yourself protected) while greatly exceeding its planned obsolescence.
I bought an 8.1MBP in March of 2012. Aside from a new SSD upgrade installed last December, I haven't done anything to the machine and it's still rock solid.
I have a work 13.1MBP and compared to the Dells most others use, I never have a slow down or require repair.
I don't care what tech they're using or how much it costs: I still recommend it to other people because they run well for a long time and don't require as much maintenance as their PC counterparts.
Depends on where you live, I guess; however, here in Minneapolis, you should expect to make ~125K for DE/DS role if you have >7 years experience.
Most of the people coming on to my team, straight out of undergrad, make ~$60-70K and are pushing $90K within 2-3 years.
Maybe you should have been modded as "Funny", instead? Because, as a Data Engineer who works side by side with Data Science, I can absolutely guarantee you, in many cases, they are not very good at doing anything at all in SQL; they are way more into pre-built R and/or Python packages to do their work.
The real fucking heroes are the Data Engineers (ETL guys for you old schoolers) who are doing the operational pipelining of the data flows in and out of the models built in isolation by Data Scientists.
From the article:
So, as of right now, this is largely a gesture but still a good first step.
I average 200-300 daily emails.
Once you're already at Inbox Zero, you can generally manage, in the immediate, whatever email comes through.
Otherwise, in the case of the ~1% of emails which I cannot immediately deal with, they sit in my inbox until I can. If there's an unread email in my inbox it means it is of high importance and I need to keep looking at it until it's resolved.
I generally get between 200-300 emails a day at work, more than 75% of which require my attention. That method wouldn't work for me.
Over the years, I've used any number of email clients which were everything from POP clients to shell (mutt/pine with procmail) to webmail (tried em all, including my own hosted ones) to GUI (Groupwise/Outlook/Maill.app/etc).
I haven't ever had a favorite, although Groupwise's detailed transparent tracking features were great to CYA, especially in a union environment where everyone was backstabbing one another. I currently use the latest Outlook (Mac) and it works ok enough for the desktop and I use any number of other clients on our Linux VMs for reading through job messages or scripting their sends (mutt, mail, etc).
But the only thing I've ever stuck with is Inbox Zero, which I've been at least since before 2004 (when my GMail archive began). It's so incredibly worth it and doesn't require any special tools or client, only dedication.
1. It's a company machine.
2. When I did get the inferior PC from the office, I immediately disabled the touchscreen; it was awful.
3. I use a Mac at home and I'm more comfortable with it after 10 years of being off Windows.
Unfortunately, Microsoft only supports their Mobile Office applications in the Google Playstore, not the actual and, in my case, I need the actual ones.
Chromebooks don't run Office and I need to operate in a Windows world.
I work in marketing analytics and we're constantly crunching through massive datasources which require servers/cloud-based systems to make the work and timing managable.
A simple MacBook Pro with 8GB and an i5 is more than enough for me to load RDP, terminals for SSH, and the applications I might be using locally.
Honest question, being I'm doing 100% of my development on remote machines either at the data center or in the cloud, how many people require actual big horsepower on their machine to get their jobs done?
From the article:
I moved my way up through the ranks over the last 15 years. While I understand the view of the majority of Slashdot about management, I try my very best to empathize with my team and work hand in hand with them.
Call me all the names you want but know semantics mean nothing; actions mean everything.
I added three people to my team in August. We will add at least one more this year. We've grown 700% in 3 years.
Our data science team had to hire a contractor because we couldn't find anyone who was what we were looking for in a FR hire.
I don't know where you live and work but here in Minneapolis, we have negative unemployment for jobs requiring a college degree.
I work in Data Engineering, leading teams of what used to be known as ETL Developers building analytics warehouses and datamarts to power and operationalize models built by data scientists.
While over the past two or three years, it was considered , 2018 is supposedly the year of the Data Engineer.
These aren't new roles, by any means, they're simply coming out of the dark reaches of organizations and becoming an integral part of successful business. DE and DS resources are expected to make sense of non-sense and present those findings to wider audiences than even 3-5 years ago, including C-level executives.
The company I currently work for has a large number of numbers-focused resources which span the gambit and *ALL* of them could benefit from learning the basics of how to take the data they use to the next level without having to rely on DE/DS teams to get it to them.
Just like spreadsheets are consumed and used by all levels of an organization, in a few years, DE and DS tasks will likely see similar amounts of proliferation across job titles. Yes, this approach can be fraught with challenge; however, it would serve any one who is in a field where they're analyzing data in spreadsheets or otherwise collecting and understanding data to take at least a basic course and bring themselves out of Excel pivot/macro/VBA hell into something more manageable.
TL;DR - take the course and apply the learnings to your own stuff. Maybe you'll end up in one of the top careers in the country.