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Power Query Automation for Multi-Run CAE Data Processing

30 Chapters

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Multi-run CAE data challenges

run folders, result files, metadata, and the need for automated consolidation.

Power Query as an ETL tool for CAE

capabilities, limitations, and integration with Excel and Power BI.

Setting up a run-based data source

connecting to folders, filtering file types, and combining CSV and text results.

run-basedconnecting

Extracting run identifiers and metadata from folder structures and file names using Power Query transformations.

Extracting run identifiers and metadata from folder structures and file names using Power Query transformations.

Extractingidentifiers

Parsing CAE result files

handling headers, units, delimiters, and fixed-width formats with custom columns.

Data cleaning for simulation outputs

removing redundant rows, handling missing values, and normalizing units.

cleaningsimulation

Appending multiple runs

managing schema drift, column mismatches, and run-specific variations.

Appendingmultiple

Parameterizing queries for multi-run scenarios

using functions, lists, and dynamic paths.

Parameterizingmulti-run

Building a reusable query function to process a single run and apply it across all runs.

Building a reusable query function to process a single run and apply it across all runs.

Buildingreusable

Error handling and data quality checks

detecting incomplete runs, outliers, and file corruption.

handlingdetecting

Performance optimization

query folding, buffering, and reducing refresh time for large run sets.

Performanceoptimization

Automating refresh with Power Query

scheduling, incremental refresh, and integration with Power Automate.

Automatingscheduling

Designing a master query for aggregated CAE results

merging, grouping, and summarizing across runs.

Designingaggregated

Pivot and unpivot techniques for CAE data

reshaping results for analysis and reporting.

Merging run data with test data or design tables

join types, key matching, and fuzzy logic.

Creating a star schema for CAE results

fact and dimension tables for efficient reporting.

Advanced transformations

custom functions, M code patterns, and recursive logic for CAE workflows.

Advancedtransformations

Handling time-series and transient CAE results

resampling, windowing, and trend extraction.

Handlingtime-series

Automating report generation

exporting consolidated data to Excel, CSV, or Power BI datasets.

Automatinggeneration

Version control and documentation for Power Query solutions

managing query dependencies and comments.

documentationsolutions

automating modal analysis results across multiple design variants.

automatinganalysis

consolidating CFD run data for parametric studies and sensitivity analysis.

consolidatingCFD

processing nonlinear structural analysis results with multiple load steps.

processingnonlinear

integrating Power Query with Python or R for advanced CAE post-processing.

integratingadvanced

Deploying Power Query solutions

sharing queries, using dataflows, and managing gateways.

Deployingsolutions

Security and governance

data privacy, access control, and audit trails for CAE data pipelines.

Securitygovernance

Troubleshooting common Power Query issues in CAE contexts

data type errors, refresh failures, and memory limits.

TroubleshootingCAE

handling thousands of runs with partitioning, parallel loading, and cloud-based dataflows.

handlingthousands

Best practices for maintainable and robust Power Query automation in CAE workflows.

Best practices for maintainable and robust Power Query automation in CAE workflows.

practicesmaintainable

integration with CAE platforms, AI-assisted data preparation, and real-time simulation data.