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Data & AI AI Skills

Discover Data & AI skills, compare source repositories and read the instructions for each workflow.

Categories: Data & AI

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optimize-throttles

teradata-labs

Analyze throttle behavior, recommend optimal configurations, and autonomously create/modify throttles to balance resource allocation and meet performance SLAs

GitHub

td-fft

teradata-labs

Fast Fourier Transform for frequency domain analysis and spectral decomposition

GitHub

manage-workloads

teradata-labs

**Autonomously create** filters, throttles, and classification rules to implement new workloads or manage workload lifecycle in response to changing operational needs

GitHub

td-pacf

teradata-labs

Partial auto-correlation analysis for direct lag relationships

GitHub

td-kmeans

teradata-labs

K-means clustering for customer segmentation and data grouping

GitHub

td-diff

teradata-labs

Time series differencing for stationarity and trend removal

GitHub

td-filter

teradata-labs

Digital filtering for noise reduction and signal enhancement

GitHub

monitor-sessions

teradata-labs

Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions

GitHub

analyze-performance

teradata-labs

Analyze system performance using throttle statistics, query logs, and resource metrics to identify bottlenecks and optimization opportunities

GitHub

td-portman

teradata-labs

Ljung-Box portmanteau tests for model diagnostics and residual analysis

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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