dapearce

Reads a bit like it could have been a dealership or dealer network that was breached.

No dates or timestamps included meaning they were using the data to build a social graph.

I've implemented self-serve analytics at three organizations successfully. It's important your data is well organized, well labeled/defined, and the BI tool needs to allow you to configure guardrails around how data is queried. I have used Looker as the BI tool at all three organizations. End users do not need to even define joins. They just select the grouping and aggregate columns they want to return and click run, then configure their visualization from the data. It is true that some users are not data literate and still will not run their own queries, but from my experience a lot of non-technical business users love being able to easily explore data themselves, and the business receives a lot of value from it.

I was always told it's because as you age a year becomes a smaller portion of your life. When you are 35 a year is 1/35th of your life, compared to 1/5th as a 5 year old.

Ilya has backtracked and signed the letter saying he would also leave to Microsoft if the board doesn't resign.

> It is important to note that the exposed details do not constitute personally identifiable information, so it wouldn't be possible to use this data leak to track individuals

The data included timestamped GPS data, which has been demonstrated to be easy to de-anonymize.

In this example there is enough evidence the suspect has been arrested by police, which is a public record. Not remotely the same as the Boston bomber reddit-misidentification case.

Yes, copy/paste error just fixed!

Love to see it. We (CoreDB) recently released PGMQ, a message queue extension for Postgres: https://github.com/CoreDB-io/coredb/tree/main/extensions/pgm...

Also see Apache Age, a graph database extension for Postgres: https://github.com/apache/age

Vinyl chloride is a declared brain, lung, blood, and liver carcinogen.

https://www.fastcompany.com/90848025/ohio-train-derailment-t...

I wish you could apply it to specific area codes. The area code of my phone number is not an area I have lived in for several years now. 98% of my spam calls are from this area code but none of the important unknown callers are calling from this area code.

1) Look at 3rd party solutions (Stitch, Fivetran, Segment, etc.) to ingest your raw data into a data warehouse (strong preference for Snowflake).

2) Use dbt (https://www.getdbt.com) to clean, transform and model the raw data into analytic tables.

3) Add a BI layer (Mode, Looker, etc.) on top of the analytic tables for reporting.

Yep, we had similar Redshift issues and ended up switching to Snowflake.