If houses lose 30% of their value, a substantial amount of people would be underwater and would likely be better off walking away. Could be very bad.
636 karma · joined April 17, 2012
If houses lose 30% of their value, a substantial amount of people would be underwater and would likely be better off walking away. Could be very bad.
Spending a lot of time to work with an individual client in order to make $1k-$2k or whatever they make ushering a loan over to fannie or freddie is not good business- especially during the recent market.
I'm guessing that a company's largest expenses are (probably in order, too): People, Technology, Office space.
Most companies, especially smaller companies, do not actually own the office space they are in, they lease it. Commercial real estate crashing would greatly reduce one of their top 3 expenses... how is that bad for the bottom line?
However, there's some irony in the fact that we got money, printed out of nowhere, signed by the previous president, and yet there are people that act like inflation is solely a "current administration" problem.
Who is forcing your wife to shut down her day care, and how? If a subset of parents are uncomfortable sending their kids to day care for the foreseeable future, just tell them to come back when they're comfortable. Did your wife forget that it's her daycare?
There's a lot of investment in trying to fix these problems already, or at least offset the costs. For example, there are "sin taxes" for things like cigarettes and alcohol, which means smokers and drinkers are paying disproportionately more taxes than those that don't.
You could argue that overweight folks are also paying disproportionately more simply by buying more food than someone who weighs 20% less.
All that aside though- forcing fat people to get skinny isn't a valid comparison to forcing people to take a vaccine. One takes a couple minutes and the other is something requiring an hour or more of dedicated time per day for potentially years (or a whole lifetime!).
Let's say, hypothetically, there existed a free shot which would immediately make its recipient a perfectly lean 20 BMI and grants all the benefits of health and exercise without the work. How many people would choose not to take it, and how would society view those that decided to walk around weighing 400lbs? That's really the apples to apples comparison here, and I think you'd find there would be very few folks walking around at 400lbs in that scenario.
The analyst knows that a specific defender is weak when driving to their left, but the 43 year old 5'2" overweight analyst will never score a point against that defender regardless of how well he knows him. However, the analyst can feed that info to LeBron who turns it into an extra 3 points per game.
https://smartlabel.unileverusa.com/048001213487-0001-en-US/i...
I do wonder how the addition of a tiny amount of sugar, less than the amount of added salt, could even be noticed... let alone enough to request the "real" American version
Blaming women as a whole makes no sense to me.
I can't think of any men that never played sports but are somehow punished for being "so masculine"
Market Share makes sense if you're talking about retail, or browsers.. but a static recurring payment? Why would Netflix care if a customer decides to also pick up another streaming service, effectively cutting their market share in half, while they keep full revenue.
There's a dozen+ streaming services out there that people have picked up, but in my personal experience, very few, if any, people I know have cancelled Netflix- they're just spending more and more money on streaming as time goes on.
Sure, there's a risk I might miss a payment and get dinged, but you're guarding against Comcast quietly raising your bill $25/mo, or not realizing how much you're truly spending on your credit card every month. Otherwise I agree with the list.
Last I saw they got something like 50% of their power from wind.
Anyone who is using this event to say that renewables are a bad idea is selling a completely false narrative.
https://www.levels.fyi/ has a breakdown for some of the largest companies but I typically think of it as:
Eng -> Senior -> Staff -> Principal -> Distinguished
with my simple explanation being:
Eng - Able to contribute to the team
Senior - Expert on the team
Staff - Expert in your organization
Principal - Expert in your domain
Distinguished - ?? - Seems to be that you damn near created your domain. I only see these at the largest companies and a lot of times it's folks that have created popular programming languages or frameworks that the company themselves use.
Everyone knows GME is over valued by an insane amount, who do people expect to be snapping up shares at $500?
In the case of a temp table, you're likely intelligently (manually) going through the process of whittling down the data to only what you need and in the most efficient ways possible. Maybe you're filtering by date upfront, then by some other filter, removing as many rows as is possible as quickly as possible. With the CTE(s), it might be creating a list of many filters with a lot of joins in one step, and the optimizer may not understand which filters can remove the most rows the most easily.
"An October 2019 study on the mental well-being of crew, commissioned by a group affiliated with the International Transport Workers’ Federation, the big maritime trade union, found that even before the pandemic about a fifth of mariners surveyed said they had suicidal thoughts."
I'd be curious how the suicide rates compare to a non-pandemic year..
Regardless though, I feel like the juicy part of this article isn't the ~6 suspected suicides, it's how messed up the cruise ship companies are and how badly they botched communication in an attempt to cover their asses. They seem to be purposefully misinforming families about what happened with their loved ones. Some of these suspected suicides were found in their rooms and there doesn't seem to be closure as to what exactly happened. I can't imagine being in that situation.
>Parquet files contain min/max metadata for all columns. When possible, entire files are skipped, but this is relatively rare. This is called predicate pushdown filtering.
A nitpick, but I wouldn't call this predicate pushdown, it's partition (or segment) elimination. A predicate being pushed down potentially allows files to be skipped through this process though
Another example is that some date/time columns got brought in and crawled as a string. That's a bummer because obviously you want to do native operations of these, datediff, datepart, etc. without having to cast all over the place. We manually set them to timestamp and they work perfect (awesome!), even in Athena, so we thought the problem was solved.
However, once we did anything with those columns in Glue ETL, those fields got set as nulls.
The problem can be fixed of course, but these types of issues happen fairly often and they quietly fail (no errors, just values set to null).
If I work for a bank and I find out they have predatory lending (and I had the luxury of being in demand), I'd likely threaten to quit unless that was changed. We see similar things with companies all over the US and it's not usually seen as employees "bawling their eyes out and chanting mantras".
Seems that because this particular instance involves some LGBTQ folks, you assume they're just walking around crying constantly...
In reality this will happen the same way every work place dispute has happened for the last hundred years. Spotify can either tell their employees "sorry, we're keeping it as-is, you can turn your badge in if you are against this decision" or find their employees too valuable and find some middle ground with JRE.
I think you're under the assumption that this term was just created to fear monger about COVID, but this is not a new term.
From 2013 for example:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367726/#:~:tex....
I can go months without ever seeing any reference to the Stasi and, in this single comment section, I see dozens of references? There have been plenty of similar programs through history but a bunch of "Americans" point to the same German group to illustrate their point? It doesn't add up at all.
Sure, I probably won't die if I get it.
I'd rather not be laid up in the hospital (or at home even, really), missing work and other important events as I accrue a larger and larger financial burden because of the US's expensive health care. And that's not even considering the impact this could have to my elderly family and friends.
If you're able to solve the problems that you were previously using oracle or SQL Server for with S3, more power to you, but the truth is that to replicate the functionality of that old Oracle server you'll start with S3, but you'll also want some querying (Aurora? RDS? Hbase?), probably some analytics and ingestion (Redshift? Kinesis? Elastic? Hive? Oozie? Airflow?), along with some security now that you've got multiple tools interacting (Ranger? Knox?), probably some load balancing (Zookeeper?), maybe some lineage and data cataloging (Atlas?), etc.
In my experience what starts with "Just throw some data in S3, forget that old crusty expensive server!" ends with 22 technologies trying to cohesively exist because each one provides a small but necessary slice of your platform. Your organization will never be able to find one person who is an expert in all of these (on the contrary, you can find an Oracle, or DB2, or SQL Server expert for half the money) so you end up with seven folks who are each an expert in three of the 22 pieces you've cobbled together, but they all have slightly different ideas on how things should work together, so you end up with a barely functioning platform after a year's worth of work because you didn't want to just start with a $400k license from Oracle.
For your question about the logs growing forever, there are usually points in the process where a transaction log is saved off somewhere else and then can be overwritten, but on a transactional system the logs over a period of a week or two can sometimes be many times larger than the actual data stored at any given time, yes.