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Data-Steward

overview Golden in five minutes Understand what Golden does, learn its basic model, and choose a tutorial or guide for your next task. Read guide → overview Fundamental concepts Understand records, metadata, validation, quality, and duplicate decisions before configuring a data flow. Read guide → concept Records and their representation Read Golden records, distinguish identity from provenance, and understand simple values, arrays, nested records, datasets, tables, and entities. Read guide → concept Metadata: information about a record Understand the purpose of record metadata and find quality, history, operation, and search information. Read guide → concept Validation and error policies Understand how dataset validation and error policies relate to the values stored in a Golden record. Read guide → concept Data quality in Golden Understand the Golden record-quality score, what moves it, what it deliberately does not mean, and how saved table measurements support comparison. Read guide → concept Why duplicate records are difficult Understand why similar records may describe different subjects and why resolution needs both evidence and a decision. Read guide → concept Compare records and group candidates Understand indexing, comparison, classification, buckets, and clusters before deciding whether records represent the same subject. Read guide → concept Resolve groups and subsets Understand merge, disconnect, ignore, and delete decisions, including their application to selected records. Read guide → overview Aurelia Utilities tutorial Explore the supplied sample in order, from installation and source data to quality, duplicate review, and reading the result. Read guide → quickstart Install Aurelia Utilities Prepare a learning environment, install the sample, and verify that its initial task completes. Read guide → tutorial Follow the Aurelia customer data Trace the sample records, catalog relationships, and data defects before reviewing quality or duplicates. Read guide → tutorial Read quality in Aurelia Use the existing sample quality example to connect reported scores with findings and record conditions. Read guide → tutorial Search the Aurelia records Locate sample customers in the application and connect the search result with the record details. Read guide → tutorial Review duplicates in Aurelia Review two supplied Aurelia duplicate cases and practise a partial decision with an explicitly added teaching record. Read guide → tutorial Read the result and reset Aurelia Consult a mastered result through the API and find the sample reinstall and removal procedures. Read guide → overview Functional guide Use Golden to find and maintain records, investigate quality, review duplicates, and inspect record changes. Read guide → how-to Access and navigate Golden Sign in, check your access, and find the entity workspace and administration screens. Read guide → how-to Find and maintain records Search a Golden entity, filter records by quality, and interpret record data, quality scores, audit timeline, and metadata. Read guide → how-to Investigate data quality Interpret the Golden Quality screen — the average and its trend, the ranked problems, the score distribution, and measurement coverage. Read guide → how-to Review and resolve duplicates Decide Golden duplicate cases in simple mode, work the expert list, understand separations and escalation, and undo a merge. Read guide → how-to Inspect changes and mastered records Find record history and contributing information when investigating a changed or mastered value. Read guide → overview Architect guide Design how Golden fits between source systems, human decisions, and consumers of trusted data. Read guide → architecture Scenarios, capabilities, and boundaries Evaluate where Golden fits and distinguish product capabilities from customer responsibilities. Read guide → architecture Components and data flow Connect Golden records, resources, interfaces, and asynchronous work in one logical model. Read guide → architecture Design identity, quality, and authority Design record identity, quality controls, source authority, and mastering policy for a Golden solution. Read guide → architecture Consistency and recovery Distinguish storage, search, mastering, and delivery outcomes when planning recovery and integration behavior. Read guide → architecture Aurelia configuration example Connect the sample indexer, classifier, merger, and steward choices with their roles in the data flow. Read guide → overview Developer guide Make API calls, implement data and duplicate workflows, and use the public API contract and integration examples. Read guide → how-to API reference and client tools Browse the API reference, download OpenAPI, and choose HTTP or generated clients for Golden integrations. Read guide → overview Operations guide Configure and maintain entities, input and output flows, schedules, execution recovery, and product monitoring. Read guide → how-to Connect sources and load data Upload, list, inspect, download, and remove files used by Trazadera Golden file sources. Read guide → how-to Configure validation and quality Follow the configuration path from dataset rules through transformations and pipelines to checking data quality. Read guide → how-to Configure search and resolution Configure search keys, comparison, mastered-value precedence, and automatic actions as separate concerns. Read guide → how-to Configure and verify deliveries Connect a destination, verify the delivered result, and follow failed or pending delivery work. Read guide → how-to Schedule and follow executions Find source and task schedules, run work, follow completion, and understand cancellation. Read guide → overview Security Manage authentication, operation permissions, data access, users, tokens, and record audit controls. Read guide → reference Roles and data access Understand operation permissions together with entity and row access for users and tokens. Read guide → how-to Audit controls and responsibilities Find the record controls and access-management guidance needed to preserve useful audit evidence. Read guide → overview Data reference Look up entity states, table properties, record metadata, quality metrics, and task states. Read guide → reference Record metadata Look up the documented metadata keys returned with Golden records, history, quality, operations, and search results. Read guide → reference Quality metrics Read Golden daily snapshots and on-demand quality measurements, and understand coverage, distribution, and issue ranking. Read guide → overview Configuration reference Look up reusable resource properties for data definitions, processing, delivery, and duplicate resolution. Read guide → reference Data views Control how Trazadera Golden names, lists, summarizes, and lays out records without changing their dataset or stored values. Read guide → reference Indexer Configure how Trazadera Golden creates searchable keys and candidate duplicate groups from dataset columns or reviewed scripts. Read guide → reference Classifier Configure a Trazadera Golden weighted classifier with dataset-based comparisons, weights, options, and decision thresholds. Read guide → reference Merger Configure how Trazadera Golden chooses values for a mastered record with constant, date, number, script, or stable random precedence. Read guide → reference Automatic steward Configure ordered Golden stewardship rules that select duplicate candidates and apply controlled actions automatically, and attach one to an entity. Read guide → overview Support Diagnose Golden product issues and find service responsibilities, support information, and compatibility guidance. Read guide → troubleshooting Troubleshooting Diagnose common Golden access, entity, task, search, and destination symptoms using customer-visible evidence. Read guide → policy Service and compatibility Understand the managed service, customer responsibilities, supported integrations, and API compatibility policy. Read guide →