Data source: https://csvconf.com/
This data as JSON, CSV (advanced)
Link | rowid ▼ | title | speaker | time | day | room | url | datetime | abstract | image |
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11 | 11 | Bash <3's CSVs: Data Analysis on the cmdline | Nicholas Canzoneri | 11:30 AM | May 8 2019 | Daisy Bingham Room | https://csvconf.com/speakers/#nicholas-canzoneri | 2019-05-08T11:30:00 | Your bash shell has a _lot_ utilities that can be used to help you analyze your data, often easier and faster than trying to import your data to an external tool. But these utilities can be hard to find and even harder to figure out the right options. I'll walkthrough a data set and show examples of the best utility to use in different situations. I'll go over common commands like `grep` and `cut`, more exotic commands like `comm` and `tr`, and dig up very useful options to a command you might have overlooked, like `sort -k`. | https://csvconf.com/img/speakers-2019/ncanzoneri.jpg |
39 | 39 | How to Build a Data-Driven Culture | Patrick McGarry | 11:30 AM | May 9 2019 | Daisy Bingham Room | https://csvconf.com/speakers/#patrick-mcgarry | 2019-05-09T11:30:00 | The world of modern data teamwork isn't one that can be created by software and business process alone. Individuals will need to alter their behavior, which is the hardest part about change. This talk will examine the traits and behaviors that lead organizations to be truly data-driven. | https://csvconf.com/img/speakers-2019/pmcgarry.jpg |
JSON shape: default, array, newline-delimited
CREATE TABLE [talks] ( [title] TEXT, [speaker] TEXT, [time] TEXT, [day] TEXT, [room] TEXT, [url] TEXT, [datetime] TEXT, [abstract] TEXT, [image] TEXT )