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The Common Education Data Standards (CEDS) Data Warehouse Parquet (DW Parquet) standard is designed for data engineering and data science needs in the cloud. The DW Parquet Models mirror the SQL-based CEDS Data Warehouse. Parquet files are designed for rapid and distributed reporting across multiple technology stacks, data processing and BI tools, and are cloud vendor agnostic. This standard is ideal for stakeholders implementing reporting structures in a data lake environment.

License: Apache License 2.0

Python 100.00%
data-warehouse data-standard data-standards data-warehouses parquet ceds

ceds-data-warehouse-parquet's Introduction

CEDS Data Warehouse Parquet Logo

CEDS Data Warehouse Parquet (DW Parquet)

Welcome to the CEDS Open Source Community!

The Common Education Data Standards (CEDS) Data Warehouse Parquet (DW Parquet) standard is designed for data engineering and data science needs in the cloud. The DW Parquet Models mirror the SQL-based CEDS Data Warehouse. Parquet files are designed for rapid and distributed reporting across multiple technology stacks, data processing and BI tools, and are cloud vendor agnostic. This standard is ideal for stakeholders implementing reporting structures in a data lake environment.

Submitting a Use Case

Use cases may be submitted through the Issues tab by clicking on New Issue and then Get Started which is located next to CEDS Integrated Data Store and Data Warehouse Use Case.

Contributing

Please read Contributing.md for details on the process for submitting pull requests.

Versioning

The CEDS open source community uses a customized version of Explicit Versioning. To keep the various CEDS open source projects in alignment with the CEDS Elements, the concept of "disruptive" releases has been replaced with "alignment" releases. These releases ensure that the data models are in sync with the official, CEDS community approved list of CEDS Elements. For the versions available, see the tags on this repository.

Here is an example of how explicit versioning will occur.

Assuming an official release of CEDS has just occurred:

Data Warehouse (DW) version = 7.0.0.0 Data Warehouse Parquet (DW Parquet) version = 7.0.0.0 Integrated Data Store (IDS) version = 7.0.0.0 CEDS Elements = 7.0.0.0

Use Case: Brand new elements are introduced to CEDS, because they are new, they represent no breaking change to any of the other CEDS elements:

CEDS Elements version = 7.0.1.0

These new elements, however, result in a new understanding of how data is integrated in the IDS resulting in a restructuring of the IDS which is not backwards compatible.

IDS version = 7.1.0.0

These elements are added to the DW structure and result in backwards compatibility, but a defect is identified in doing so that needs to be corrected.

DW version = 7.0.1.1

These elements are also added to the DW Parquet structure and result in backwards compatibility, but a defect is identified in doing so that needs to be corrected. The CEDS DW and CEDS DW Parquet standards are updated simultaneously to maintain cross compatibility.

DW Parquet version = 7.0.1.1

Throughout the remainder of the year, many changes occur in each of the different repositories. The changes prior to the annual release of CEDS results in the following:

DW version = 7.27.1.6 DW Parquet version = 7.27.1.6 IDS version = 7.3.2.0 CEDS Elements = 7.2.18.2

The annual official CEDS release occurs typically around January/February of the calendar year. All resources are brought into version alignment (Note: no changes occurred to the resource, the annual release simply restarts/aligns the versioning):

DW version = 8.0.0.0 DW Parquet version = 8.0.0.0 IDS version = 8.0.0.0 CEDS Elements version = 8.0.0.0

Note: The CEDS Collaborative Exchange contains resources contributed by stakeholders. These resources should contain the compatible version they were created under. The versions are not changed for a resource unless a stakeholder updates them to function under a newer version.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

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