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University Essentials Updates (rtdip#798)
* Updates Signed-off-by: GBBBAS <[email protected]> * Updated exercises Signed-off-by: GBBBAS <[email protected]> --------- Signed-off-by: GBBBAS <[email protected]>
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docs/university/essentials/rtdip/architecture/databricks.md
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![RTDIP Databricks](../assets/rtdip_databricks.png) | ||
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RTDIP integrates with Databricks and supports executing time series queries or ingesting data. Queries are executed using either Databricks SQL Warehouses or Spark Connect. Data Ingestion can be run and orchestrated using Databricks Workflows or Delta Live Tables. | ||
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For further information about Databricks, please refer to: | ||
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- [Databricks SQL](https://www.databricks.com/product/databricks-sql) | ||
- [Databricks Workflows](https://docs.databricks.com/en/workflows/index.html) | ||
- [Delta Live Tables](https://www.databricks.com/product/delta-live-tables) | ||
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## Course Progress | ||
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- [X] Overview | ||
- [X] Architecture | ||
- [X] Queries | ||
- [X] Pipelines | ||
- [X] Databricks | ||
- [ ] SDK | ||
- [ ] APIs |
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docs/university/essentials/rtdip/architecture/pipelines.md
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![RTDIP Pipelines](../assets/rtdip_sdk_pipelines.png) | ||
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Not in scope for this particular course but it is worth mentioning that RTDIP also provides the ability to create and manage time series ingestion pipelines. Pipelines are a series of steps that are executed in sequence to process time series data. Pipeline components consist of data sources, data sinks, and processing steps. | ||
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## Course Progress | ||
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- [X] Overview | ||
- [ ] Architecture | ||
- [X] Queries | ||
- [X] Pipelines | ||
- [ ] Databricks | ||
- [ ] SDK | ||
- [ ] APIs |
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![RTDIP Queries](../assets/rtdip_sdk_queries.png) | ||
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RTDIP provides the ability to execute time series queries on the data stored in the RTDIP platform. The queries can be executed using the RTDIP SDK or APIs, queries such as raw, resample, interpolation, interpolate at time, time-weighted average, circular averages, circular standard deviation, latest, plot, summary, and metadata. | ||
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The RTDIP Essentials course will focus on RTDIP queries in the sections that follow. | ||
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## Course Progress | ||
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- [X] Overview | ||
- [ ] Architecture | ||
- [X] Queries | ||
- [ ] Pipelines | ||
- [ ] Databricks | ||
- [ ] SDK | ||
- [ ] APIs |
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# RTDIP Essentials | ||
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<p align="center"><img src=https://raw.githubusercontent.com/rtdip/core/develop/docs/getting-started/images/rtdip-horizontal-color.png alt="rtdip" width=50% height=50%/></p> | ||
<p style="text-align: center; font-size: 2em; font-weight: bold;">Essentials</p> | ||
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Welcome to the RTDIP Essentials training course. This course introduces you to the Real Time Data Ingestion Platform, a scalable solution for ingesting and processing data from a variety of time series data sources. | ||
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You will learn how to execute | ||
By the end of this course, you will have a good understanding of: | ||
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- The RTDIP architecture | ||
- How to use the SDK to interact with the RTDIP platform | ||
- How to use the APIs to execute time series queries | ||
- Build visualizations and dashboards in Power BI | ||
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## Course Progress | ||
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- [ ] Overview | ||
- [X] Introduction | ||
- [ ] Prerequisites | ||
- [ ] Architecture | ||
- [ ] SDK | ||
- [ ] APIs |
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docs/university/essentials/rtdip/introduction/prerequisites.md
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# Course Prerequisites | ||
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Before you begin the course, ensure you obtain the following prerequisites(from your istructor or from your environment if you are doing this on your own): | ||
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## Development Environment | ||
- Python >=3.9,<=3.11 | ||
- An IDE uch as Visual Studio Code or PyCharm | ||
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## System Requirements | ||
- A Cluster for executing Spark SQL - If using Databricks, this would typically be a Databricks SQL Warehouse and its associated connection details: | ||
- Server Hostname | ||
- HTTP Path | ||
- Access to Power BI | ||
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## Data Requirements | ||
- Access to a time series table that has, as a minimum: | ||
- An identifier column | ||
- A timestamp column | ||
- A value column | ||
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## Course Progress | ||
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- [X] Overview | ||
- [X] Introduction | ||
- [X] Prerequisites | ||
- [ ] Architecture | ||
- [ ] SDK | ||
- [ ] APIs |
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docs/university/essentials/sdk/getting-started/exercise.md
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