Template Hub
The following lists the pipelines available in each category.
Transportation
Pipeline name | Gems used | Description |
---|---|---|
l2_gold_airport_delay_metrics | Table Join Filter Aggregate OrderBy | Computes the airport-level delay metrics using flight data from the past 30 days. It aggregates departure and arrival delays, cancellation rates, and overall on-time performance for both origin and destination airports. |
Healthcare
Pipeline name | Gems used | Description |
---|---|---|
L0_raw_clinical_trials | Table Filter FlattenSchema DataCleansing | Cleans up clinical trial data by filtering out malformed records, transforms nested data into tabular format, and removed all leading and trailing whitespaces. |
L1_hipaa_compliance | Table Reformat | Makes the patients ID, age, and zipcode HIPAA compliant. |
L2_clinical_trial_gap_analysis | Table Filter Aggregate OrderBy DataCleansing Join | Performs a gap analysis to determine the cost of each diagnosis without clinical trials. |
L2_gold_daily_billing_report | Table Reformat Filter Aggregate | Determine the daily total a provider makes and how many patients they see. |
Manufacturing
Pipeline name | Gems used | Description |
---|---|---|
L2_defect_rate_analysis | Table Reformat WindowFunction | Analyzes the production job defect rates by calculating the defect rate per job for each production line and month, then ranks these defect rates into percentiles to help identify how jobs compare within the same line and time period. |
L2_part_processing_metrics | Table Aggregate Join Reformat | Calculates the average, median, minimum and maximum for manufacturing parts by measuring the hours taken to start and complete events for each part number. |
Finance
Pipeline name | Gems used | Description |
---|---|---|
L2_customer_financial_profile | Table Reformat OrderBy Aggregate Join | Creates a detailed customer financial profile while masking sensitive information by combining raw data from various source tables and summarizing each customer’s account activity, loan details, credit score history and transaction spending. |
Retail
Pipeline name | Gems used | Description |
---|---|---|
L2_gold_campaign_analysis | Table Aggregate Join Filter FlattenSchema Reformat | Calculates a campaign-level return on investment (ROI), summarizes total earnings and costs per product and computes ROI as the percentage gain relative to the marketing spend. |
Energy
Pipeline name | Gems used | Description |
---|---|---|
l2_monthly_energy_report | Table Reformat Aggregate WindowFunction Join Reformat Union OrderBy | Calculates the percentile rank of each energy asset based on its monthly energy production and benchmarks asset performance across different asset dimensions such as state, region, assetType. |