I work in the industry building customer-level cross-device marketing attribution models. This is a complete non-factor for most companies, just like ITP changes, it is a mere annoyance more than anything.
We are able to get 100% match to customers through digital only interactions and >60% match across any number of devices to customers who interact with digital channels but only buy through brick and mortar, without any crazy shit/third parties/etc.
So, while this is a great soundbite, it's ultimately not doing much but bring more attention to the public about how their data are being used to target them to buy more.
I've been on Slashdot since 1996 or 1997 and I have gone through my phase of using any number of p2p software pieces for obtaining whatever media I preferred to watch; however, these ended when I became an adult who could easily afford any of these services.
What do I do now that Disney isn't on my preferred streaming services? I either choose to pay for it or I don't and my kids don't watch it. But, even though I did it in the past, I *never* once consider torrents as an option for consuming this and, if I think this way, the vast majority of people in the world do as well.
So, to answer your question, no, they don't consider it as as a factor.
Thereâ(TM)s absolutely no need for any of this unless youâ(TM)re trying to be at commercial scale. Believe me, it most definitely does grow like a weed and is easy enough to tend unless you have investors and/or shareholders to concern yourself with.
If you care about having a 'world record' and/or are obsessed with Pi, like this person happens to be, I suppose it is.
What I'm surprised by is the limit of only 25 VMs. In a previous job, we would spin up 64 VM clusters hundreds of times a day to chunk through 100TB of data in a few seconds and shut them down immediately after the data were processed.
While I realize you cannot always make a baby in 1 month with 9 women, I still wonder if this could not have been done more economically both financially and resources wise.
It's been tested to work thousands of times better than traditional CPUs at simulated annealing operations; however, research leveraging DWave offerings have been slow to come out. You can reach an article where researchers used DWave technology to conduct their experiments. In addition, there are numerous published papers leveraging DWave tech including application in ML and optimization tasks (traffic).
But, healthy skepticism should setup a box around our confidence in any published research until it's verified--preferably on non-DWave systems, something which is pretty damn difficult today.
No, it shouldn't count; however, they still lump these products together.
That said, there is some evidence e-cigs help others to quit actual tobacco use, even though the FDA has not yet .
Kids are going to experiment with shit, regardless of controls and limits; we should probably be glad they're experimenting with this delivery method as opposed to what every prior generation has for the last 100+ years.
As someone who has been reading since 1996 or 1997, people have been making this complaint all along but I don't see much of a difference between then and now.
Plus, IMO, this is the sort of story which nerds may care about and falls under the tagline piece, "stuff that matters."
Itâ(TM)s one of a variety of avenues to get a job. My job prior to my current one happened entirely through LinkedIn.
During the search for my current one I was interviewing from recruiters finding me on LI as well as applications through LI and Indeed. The job I ended up accepting in November was me seeing a posting on LinkedIn and submitting the application directly on their site.
1. They no longer offer a current phone model with the form factor I want.
2. There were no deals which would have avoided me paying a monthly fee on top of my mobile service costs.
â"-
I refuse to pay full price for a phone. Period. Especially if theyâ(TM)re not going to see me a phone in the size I prefer.
So, normally I would have upgraded my phone and they would have had some sort of sale to someone. This is the first time since 2008 when it was >2 years between phone purchases that I havenâ(TM)t upgraded and it has absolutely nothing to do with the stupid headphone jack.
I worked for a company based in Santa Monica. Even the employees who worked less than a mile away from the office would still drive and complain about the traffic; it was literally insane.
As for the article:
The key part of this isn't moving massive amounts of people; it's about moving their cars with them so they can cover great distances in a shorter period of time and still be able to go "the last mile" that transit doesn't cover.
If you're looking to use the same paradigm with a cloud warehouse that you were using before (e.g. just copying the SQL, such as joins, over and having it work the same way, you're going to have a bad time).
Data Scientists are great at modeling and providing insights on the outputs of their models; what they are not good at are building operational pipelines and deploying their models at scale. That's what traditional ETL developers (now known as Data Engineers) are around to do.
So, yeah, if you're trying to join the same table to itself 7 times as you would have in some operational datastore in the past instead of leveraging windowing functions (just an example) you're going to see timeouts and miserable throughput.
The last time I worked within an Oracle-based warehouse was 2012. Since then, I've been exposed to any number of others, including taking over a on-prem SQL Server warehouse and moving to BigQuery and, currently, deciding how to handle the Redshift warehouse provided to us by a DBaaS vendor.
BigQuery is Petabyte scale, no infrastructure to manage, lightning fast, incredibly inexpensive compared to on-prem SQL Server, and is supported by a ton of toolsets. Redshift is basically the same, with the added negative bonus of having to support it with instances.
While 6 years is an eternity in the analytics space, we're talking about hours-long queries being reduced to single seconds. I'd love to see Oracle be able to keep up with these cloud-DB technologies.
I recently went to a competitor. I knew theyâ(TM)d walk me out the door ceremoniously. I saved myself the embarrassment and the company the assholishness and just resigned off-site and walked away.
My team was ready with the news and knew what to do do nothing terrible happened but why should I submit myself to the horseshit just so we can all pretend weâ(TM)re all playing nice?
I'm an Apple user but you're making sweeping generalizations of which I've honestly only heard from non-Apple users. The only people who care that someone has an Apple product seems to be those who use Android.
I used to use any number of different products across any number of platforms (OS/2, Debian, Windows, etc, etc, etc) but to say I want to use it because of the logo is objectively ridiculous.
I use it because I've used one for years and don't see any reason to change. I haven't had to pay anything (except standard mobile contract fees) for any of these phones and my laptops are solidly killing it years later.
Do your thing, by all means; but stop spouting off ridiculous theories of which have little basis in reality.
Recently got back into chess now that my son is interested. Started playing Really Bad Chess on my phone http://reallybadchess.com/ to kill time and hone some skills.
I find it relaxes me and helps me concentrate on other things like tough logic puzzles...keeps me thinking a few steps ahead. Great for work and play.
Just changed jobs two weeks ago. Theyâ(TM)re absolutely shocked I do everything on a 13â MBP. Even though I write code and work in analytics, I live on a single screen.
It just makes no sense for me to be moving back and forth between different peripherals as I spend most of my day working in between meetings or otherwise not at my desk.
I prefer consistency and not using a keyboard or monitor just makes the most sense for me.
Data Science is more than the math-heavy side of CS; it should include a lot of business courses too as the single most important part of being a Data Scientist is understanding the business context of the models being built.
Business Analytics courses try to make a Business-heavy Data Science program; however, there can be balance there, IMO.
I have worked in the field (Data Engineering/ETL focus) for a decade and watched the massive changes in tools, need and understanding. These sorts of programs are doing a great job but still need to do more, based on what Iâ(TM)ve seen to date.
I didn't say that I didn't EVER need to use a dongle; I just don't find it to be as much of an annoyance as those on the Internet seem to, knowing I only use it every so often.
In the case you present--which is a handful of times a year--is way less than my annoyance threshold for these sorts of things.
We are not an Apple-centric shop. Out of 130+ employees, we have less than 10 on MacOS.
We use ClickShare for screen sharing in meeting rooms which support AirPlay.
I work in analytics (Data Engineering/ETL) and am just fine with the Retina display. I don't have a keyboard, mouse or monitor at my desk--since I largely am not at my desk during the day anyway.
Slashdot Mirror
I work in the industry building customer-level cross-device marketing attribution models. This is a complete non-factor for most companies, just like ITP changes, it is a mere annoyance more than anything.
We are able to get 100% match to customers through digital only interactions and >60% match across any number of devices to customers who interact with digital channels but only buy through brick and mortar, without any crazy shit/third parties/etc.
So, while this is a great soundbite, it's ultimately not doing much but bring more attention to the public about how their data are being used to target them to buy more.
I've been on Slashdot since 1996 or 1997 and I have gone through my phase of using any number of p2p software pieces for obtaining whatever media I preferred to watch; however, these ended when I became an adult who could easily afford any of these services.
What do I do now that Disney isn't on my preferred streaming services? I either choose to pay for it or I don't and my kids don't watch it. But, even though I did it in the past, I *never* once consider torrents as an option for consuming this and, if I think this way, the vast majority of people in the world do as well.
So, to answer your question, no, they don't consider it as as a factor.
Kottonmouth Kings said it well: https://www.azlyrics.com/lyric...
Thereâ(TM)s absolutely no need for any of this unless youâ(TM)re trying to be at commercial scale. Believe me, it most definitely does grow like a weed and is easy enough to tend unless you have investors and/or shareholders to concern yourself with.
If you care about having a 'world record' and/or are obsessed with Pi, like this person happens to be, I suppose it is.
What I'm surprised by is the limit of only 25 VMs. In a previous job, we would spin up 64 VM clusters hundreds of times a day to chunk through 100TB of data in a few seconds and shut them down immediately after the data were processed.
While I realize you cannot always make a baby in 1 month with 9 women, I still wonder if this could not have been done more economically both financially and resources wise.
S60Rs/Polestar S60s most definitely are meant to be driven hard and fast.
It's been tested to work thousands of times better than traditional CPUs at simulated annealing operations; however, research leveraging DWave offerings have been slow to come out. You can reach an article where researchers used DWave technology to conduct their experiments. In addition, there are numerous published papers leveraging DWave tech including application in ML and optimization tasks (traffic).
But, healthy skepticism should setup a box around our confidence in any published research until it's verified--preferably on non-DWave systems, something which is pretty damn difficult today.
No, it shouldn't count; however, they still lump these products together.
That said, there is some evidence e-cigs help others to quit actual tobacco use, even though the FDA has not yet .
Kids are going to experiment with shit, regardless of controls and limits; we should probably be glad they're experimenting with this delivery method as opposed to what every prior generation has for the last 100+ years.
As someone who has been reading since 1996 or 1997, people have been making this complaint all along but I don't see much of a difference between then and now.
Plus, IMO, this is the sort of story which nerds may care about and falls under the tagline piece, "stuff that matters."
YMMV.
Itâ(TM)s one of a variety of avenues to get a job. My job prior to my current one happened entirely through LinkedIn.
During the search for my current one I was interviewing from recruiters finding me on LI as well as applications through LI and Indeed. The job I ended up accepting in November was me seeing a posting on LinkedIn and submitting the application directly on their site.
I didnâ(TM)t upgrade because of two factors:
1. They no longer offer a current phone model with the form factor I want.
2. There were no deals which would have avoided me paying a monthly fee on top of my mobile service costs.
â"-
I refuse to pay full price for a phone. Period. Especially if theyâ(TM)re not going to see me a phone in the size I prefer.
So, normally I would have upgraded my phone and they would have had some sort of sale to someone. This is the first time since 2008 when it was >2 years between phone purchases that I havenâ(TM)t upgraded and it has absolutely nothing to do with the stupid headphone jack.
Seconds for:
Maniac
Marvelous Ms. Maisel
The Good Place
----
Addition:
The End of the F***ing World -- only ~8 episodes but awesome
I worked for a company based in Santa Monica. Even the employees who worked less than a mile away from the office would still drive and complain about the traffic; it was literally insane.
As for the article:
The key part of this isn't moving massive amounts of people; it's about moving their cars with them so they can cover great distances in a shorter period of time and still be able to go "the last mile" that transit doesn't cover.
If you're looking to use the same paradigm with a cloud warehouse that you were using before (e.g. just copying the SQL, such as joins, over and having it work the same way, you're going to have a bad time).
Data Scientists are great at modeling and providing insights on the outputs of their models; what they are not good at are building operational pipelines and deploying their models at scale. That's what traditional ETL developers (now known as Data Engineers) are around to do.
So, yeah, if you're trying to join the same table to itself 7 times as you would have in some operational datastore in the past instead of leveraging windowing functions (just an example) you're going to see timeouts and miserable throughput.
The last time I worked within an Oracle-based warehouse was 2012. Since then, I've been exposed to any number of others, including taking over a on-prem SQL Server warehouse and moving to BigQuery and, currently, deciding how to handle the Redshift warehouse provided to us by a DBaaS vendor.
BigQuery is Petabyte scale, no infrastructure to manage, lightning fast, incredibly inexpensive compared to on-prem SQL Server, and is supported by a ton of toolsets. Redshift is basically the same, with the added negative bonus of having to support it with instances.
While 6 years is an eternity in the analytics space, we're talking about hours-long queries being reduced to single seconds. I'd love to see Oracle be able to keep up with these cloud-DB technologies.
I recently went to a competitor. I knew theyâ(TM)d walk me out the door ceremoniously. I saved myself the embarrassment and the company the assholishness and just resigned off-site and walked away.
My team was ready with the news and knew what to do do nothing terrible happened but why should I submit myself to the horseshit just so we can all pretend weâ(TM)re all playing nice?
I'm an Apple user but you're making sweeping generalizations of which I've honestly only heard from non-Apple users. The only people who care that someone has an Apple product seems to be those who use Android.
I used to use any number of different products across any number of platforms (OS/2, Debian, Windows, etc, etc, etc) but to say I want to use it because of the logo is objectively ridiculous.
I use it because I've used one for years and don't see any reason to change. I haven't had to pay anything (except standard mobile contract fees) for any of these phones and my laptops are solidly killing it years later.
Do your thing, by all means; but stop spouting off ridiculous theories of which have little basis in reality.
Recently got back into chess now that my son is interested. Started playing Really Bad Chess on my phone http://reallybadchess.com/ to kill time and hone some skills.
I find it relaxes me and helps me concentrate on other things like tough logic puzzles...keeps me thinking a few steps ahead. Great for work and play.
Iâ(TM)m almost 40. If I had a 4 digit UID and was in my 20s, that would be impressive.
Just changed jobs two weeks ago. Theyâ(TM)re absolutely shocked I do everything on a 13â
MBP. Even though I write code and work in analytics, I live on a single screen.
It just makes no sense for me to be moving back and forth between different peripherals as I spend most of my day working in between meetings or otherwise not at my desk.
I prefer consistency and not using a keyboard or monitor just makes the most sense for me.
I have DSL at my lake home. Itâ(TM)s 1.3mbit/290k. Clearly theyâ(TM)re already doing it today; this is just more for them.
Data Science is more than the math-heavy side of CS; it should include a lot of business courses too as the single most important part of being a Data Scientist is understanding the business context of the models being built.
Business Analytics courses try to make a Business-heavy Data Science program; however, there can be balance there, IMO.
I have worked in the field (Data Engineering/ETL focus) for a decade and watched the massive changes in tools, need and understanding. These sorts of programs are doing a great job but still need to do more, based on what Iâ(TM)ve seen to date.
I remap keys to make them more reachable when using vim; have you tried that route to make it better for you?
I didn't say that I didn't EVER need to use a dongle; I just don't find it to be as much of an annoyance as those on the Internet seem to, knowing I only use it every so often.
In the case you present--which is a handful of times a year--is way less than my annoyance threshold for these sorts of things.
We are not an Apple-centric shop. Out of 130+ employees, we have less than 10 on MacOS.
We use ClickShare for screen sharing in meeting rooms which support AirPlay.
I work in analytics (Data Engineering/ETL) and am just fine with the Retina display. I don't have a keyboard, mouse or monitor at my desk--since I largely am not at my desk during the day anyway.
I use my MBP for work and I find no reason to use a dongle to the point where it would become something I would endlessly complain about.
What are you guys doing that requires regular use of dongles to get your jobs done?