added season 2 videos to docs (#3731)

* added season 2 videos to docs

* Update content/flux/v0.x/get-started/_index.md

Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com>

* Update content/influxdb/v2.1/process-data/get-started.md

Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com>

* Update content/telegraf/v1.21/introduction/getting-started.md

Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com>

* Update content/flux/v0.x/get-started/query-basics.md

Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com>

Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com>
pull/3737/head
lwandzura 2022-01-31 11:47:18 -06:00 committed by GitHub
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9 changed files with 38 additions and 1 deletions

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@ -86,4 +86,8 @@ Each example includes the following functions (in the order listed):
_For detailed information about basic Flux queries,
see [Flux query basics](/flux/v0.x/get-started/query-basics/)._
{{< page-nav next="/flux/v0.x/get-started/data-model/" >}}
For an introduction to Flux and how it works with time series data, watch the following video:
{{< youtube QwOJttyg858 >}}
{{< page-nav next="/flux/v0.x/get-started/data-model/" >}}

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@ -196,4 +196,8 @@ Results from this basic query should be similar to the following:
| co | airSensors | TLM0202 | 0.3336370208486757 |
| co | airSensors | TLM0203 | 0.4948166816959906 |
To learn more about Flux concepts and basic functions and see an example of how to write a basic Flux query, watch the following video:
{{< youtube osSJueQW-EE >}}
{{< page-nav prev="/flux/v0.x/get-started/syntax-basics/" >}}

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@ -33,3 +33,7 @@ To explore InfluxDB using existing data (*without writing your own data*), see h
- [Process data](/influxdb/cloud/process-data/)
- [Visualize data](/influxdb/cloud/visualize-data/)
- [Monitor and alert](/influxdb/cloud/monitor-alert/)
The following video discusses different ways to write data to InfluxDB:
{{< youtube xYnFVvRTlkQ >}}

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@ -162,3 +162,8 @@ data
|> to(bucket: "example-downsampled")
```
To learn more about InfluxDB tasks and how they work, watch the following video:
{{< youtube zgCmdtZaH9M >}}

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@ -94,6 +94,10 @@ The TSM compaction code is quite complex.
However, the high-level goal is quite simple:
organize values for a series together into long runs to best optimize compression and scanning queries.
For more information on the TSM engine, watch the video below:
{{< youtube C5sv0CtuMCw >}}
## Time Series Index (TSI)
As data cardinality (the number of series) grows, queries read more series keys and become slower.

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@ -201,3 +201,7 @@ If you're just starting out, we recommend taking a look at the following guides:
- [Get started](/influxdb/v2.1/get-started)
- [Write data](/influxdb/v2.1/write-data)
- [Query data](/influxdb/v2.1/query-data)
For an overview of how these elements interconnect within InfluxDB's data model, watch the follwoing video:
{{< youtube 3qTTqsL27lI >}}

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@ -29,3 +29,7 @@ related:
- [Process data](/influxdb/v2.1/process-data/)
- [Visualize data](/influxdb/v2.1/visualize-data/)
- [Monitor and alert](/influxdb/v2.1/monitor-alert/)
The following video discusses different ways to write data to InfluxDB:
{{< youtube xYnFVvRTlkQ >}}

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@ -246,3 +246,7 @@ from(bucket:"example-bucket")
|> filter(fn: (r) => r._measurement == "weather_sensor" and r.location =~ /\.north$/ and r._field == "temp")
|> mean()
```
For an overview of the InfluxDB data model, watch the following video:
{{< youtube 3qTTqsL27lI >}}

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@ -148,3 +148,7 @@ time usage_idle
Notice that the timestamps occur at rounded ten second intervals (that is, `:00`, `:10`, `:20`, and so on) - this is a configurable setting.
That's it! You ready to use Telegraf to collect metrics and write them to your output of choice.
For an introduction to Telegraf and an overview of how it works, watch the following video:
{{< youtube vGJeo3FaMds >}}