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teradata-labs

teradata-labs

72 Skills published on GitHub.

td-simple-impute

Missing value imputation using TD_SimpleImputeFit

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td-smoothing

Signal smoothing and noise reduction techniques

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Teradata SMOTE Oversampling

Synthetic Minority Oversampling for imbalanced datasets

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td-stationarity-test

Statistical tests for time series stationarity (ADF, KPSS, PP tests)

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td-svm

Support Vector Machine for linear and non-linear classification

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td-tfidf

Term Frequency-Inverse Document Frequency for text analysis

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td-train-test-split

Data splitting for model validation using TD_TrainTestSplit

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Teradata Univariate Statistics

Comprehensive descriptive statistics for data exploration

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td-vector-distance

Vector distance calculations for similarity analysis

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Teradata Word Embeddings

Word and document embeddings for text analytics

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Teradata XGBoost Analytics

XGBoost gradient boosting for classification and regression

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Teradata Z-Test

Z-test for population mean comparison with known variance

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control-sessions

Control active sessions by terminating problematic sessions, managing runaway queries, and handling blocking situations

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manage-queues

Manage delayed request queues including workload, system, and utility queues to release blocked requests or abort unnecessary items

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manage-workloads

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

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monitor-queries

Track query execution using real-time resources, analyze query bands, access query logs, and identify performance patterns across the Teradata system

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monitor-resources

Monitor AMP processor load, system physical resources, and capacity using real-time resources to track system health and identify performance bottlenecks

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monitor-sessions

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

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monitor-workloads

Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance

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analyze-performance

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

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optimize-throttles

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

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tune-workloads

Analyze workload classification and **autonomously configure** classification rules, filters, and priorities to improve accuracy and meet business requirements

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