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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 Audit, history, and record changes Use Trazadera Golden table auditing and history to review supported record changes without exposing private operational detail. 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 Explore Aurelia sales leads Inspect the second Aurelia entity, its cleaning and quality results, fuzzy candidate groups, and row access boundaries. 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 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 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 Integrate sources and consumers Compare Golden web, REST, batch, configured delivery, and hybrid integration approaches by latency, volume, authority, and recovery. 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 → architecture Review a Golden solution design Review a Golden design across outcomes, data contracts, identity, matching, integrations, security, operations, and recovery. Read guide → overview Developer guide Make API calls, implement data and duplicate workflows, and use the public API contract and integration examples. Read guide → reference Golden API conventions Apply Golden API conventions for URLs, authentication, JSON, errors, pagination, conflicts, and asynchronous work. Read guide → how-to Search records through the API Search a Golden entity with record-shaped criteria or free text, discover what an entity can be searched by, and interpret paged results safely. Read guide → how-to Read golden records through the API Read mastered Golden records through the API, including contributing records, presentation metadata, and resolution outcomes. Read guide → how-to Implement Golden integration patterns Apply verified Trazadera Golden API patterns for record lookup, controlled writes, bulk flows, and mastered-data delivery. 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 → tutorial Build a customer search integration Assemble a dataset, file source, indexer, table, and searchable entity from Aurelia Utilities data, then verify the result through the Golden API. Read guide → overview Operations guide Configure and maintain entities, input and output flows, schedules, execution recovery, and product monitoring. Read guide → how-to Prepare and create an entity Create and verify a Golden entity after its table, schema, and required reusable resources are ready. 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 → how-to Maintain entities and promote configuration Inspect, test, save, duplicate, rename, export, import, and safely remove reusable Trazadera Golden configuration resources. 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 Entities and synchronization Look up Trazadera Golden entity types, states, public statistics, control flags, and synchronization request options. Read guide → reference Tables Create Trazadera Golden tables with a dataset, optional history retention, and per-record auditing. Read guide → overview Configuration reference Look up reusable resource properties for data definitions, processing, delivery, and duplicate resolution. Read guide → reference Datasets Define Trazadera Golden record structure, semantic column types, identity, validation, nested data, lookups, and column definitions. Read guide → reference Semantic tokens Look up the semantic token values supported by Trazadera Golden dataset columns. 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 Sources Configure the supported file, JDBC, and Golden-table sources that supply records to Trazadera Golden data flows. Read guide → reference Transformations Map records between Trazadera Golden datasets with column and constant mappings or a transformation-level script. Read guide → reference Pipelines Apply ordered cleaner, transformer, and script processors to records in a Trazadera Golden pipeline. Read guide → reference Destinations Configure supported Kafka, HTTP, JDBC, and Golden-table destinations for Trazadera Golden export flows. Read guide → reference Connection credentials Configure the credential types consumed by supported Golden sources and destinations without exposing secret-storage details. 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 → overview API reference Find verified Golden API paths for security, entities, records, duplicates, quality, data scopes, resources, tasks, files, events, samples, and metrics. Read guide → overview Support Diagnose Golden product issues and find service responsibilities, support information, and compatibility guidance. Read guide → policy Service and compatibility Understand the managed service, customer responsibilities, supported integrations, and API compatibility policy. Read guide → overview modernAIze in five minutes Understand what modernAIze does, learn its basic model, and choose a guide for preparing inputs or exploring an existing system. Read guide → overview Fundamental concepts Understand source artifacts, analyzed assets, regions, scope, and evidence before interpreting a modernAIze analysis. Read guide → concept Data estates and application estates Distinguish data flows from application behavior, choose the supported source platform, and use the corresponding investigation vocabulary. Read guide → concept Artifacts, assets, and regions Learn how supplied files become an inventory of assets and relationships, and how Briefing, Landscape, and Detail organize their investigation. Read guide → concept Projects and analysis scope Define a project around a source platform and an assessment question, then account for shared dependencies and input revisions. Read guide → concept Analysis evidence and limitations Distinguish source observations, calculations, generated explanations, and missing detail when turning an analysis into an assessment. Read guide → overview Setup guide Prepare the source package, read the project overview and readiness, and review the files supplied to modernAIze. Read guide → how-to Prepare source inputs Collect source artifacts and shared dependencies, record their revision, and check the package before supplying it to a project. Read guide → how-to Review project setup Use Project Overview, Readiness, the input list, and Files, Folder, and ZIP controls to review the material available for analysis. Read guide → overview Supported source platforms Choose among eight supported source platforms, grouped into data and application estates, and prepare the right source artifacts for each. Read guide → how-to SAS Prepare SAS inputs for a data estate, collect the relevant dependencies, and verify the scope represented in Understand. Read guide → how-to Qlik Prepare Qlik inputs for a data estate, collect the relevant dependencies, and verify the scope represented in Understand. Read guide → how-to Informatica PowerCenter Prepare Informatica PowerCenter inputs for a data estate, collect the relevant dependencies, and verify the scope represented in Understand. Read guide → overview SAP BW Understand the SAP BW extraction package, coordinate catalog and object-detail collection, and reconcile the source scope with the analysis. Read guide → how-to SAP BW extraction agent Install and run the SAP BW extraction agent, select the collection scope, review catalog and object output, and prepare a package for modernAIze. Read guide → how-to Teradata Prepare Teradata inputs for a data estate, collect the relevant dependencies, and verify the scope represented in Understand. Read guide → how-to DataStage Prepare DataStage inputs for a data estate, collect the relevant dependencies, and verify the scope represented in Understand. Read guide → how-to COBOL Prepare COBOL inputs for an application estate, collect the relevant dependencies, and verify the scope represented in Understand. Read guide → how-to webMethods Prepare webMethods inputs for an application estate, collect the relevant dependencies, and verify the scope represented in Understand. Read guide → overview Understand guide Explore an existing analysis from the system summary to regions and dependencies, then interpret its effort and confidence indicators. Read guide → how-to L0 briefing Read every L0 widget: system identity, architecture diagram, MEI, confidence, completeness, composition, key logic, assessment, and limitations. Read guide → how-to L1 landscape Read the L1 distribution widgets, four lenses, selected-region panels, flows, and member links to investigate the structure of an estate. Read guide → how-to L2 asset detail Use L2 search, type filters, header metrics, the asset spotlight, dossier, related assets, and source panel to examine specific behavior. Read guide → reference L2 spotlights Interpret the Field map, Schema, Flow, Dependency, Formula, Relationship, and generic Detail widgets in an asset investigation. Read guide → concept Interpret analysis indicators Read effort, confidence, completeness, and contract coverage with their populations and limitations before using them in an assessment. Read guide → overview Lens in five minutes Understand Lens, its Mobility solution, and the optional modules that add business context. Read guide → concept Fundamental concepts Understand how agents, programs, configurations, deployments, and metrics relate. Read guide → how-to Setup and agents Prepare access, devices, collection work, and a first verification in Lens. Read guide → how-to Manage collection Choose collection programs, configure them, target agents, and verify that a deployment produces usable measurements. Read guide → overview Overview Understand the WiFi solution, its spatial context, and the analysis views used to investigate measurements. Read guide → how-to Prepare the site Prepare a site, its WiFi context, and measurement devices before interpreting analysis. Read guide → concept Spatial model Plan buildings, floors, floor plans, and areas as part of the Mobility solution. Read guide → overview Collect and verify Prepare mobile devices and verify that WiFi observations can be interpreted. Read guide → overview Report and indicators Choose Report, Pulse, Diagnose, or Compare & Act for the WiFi question at hand. Read guide → how-to Investigate and compare Use Pulse, Diagnose, and Compare & Act together to move from a site overview to a justified action. Read guide → overview Overview Understand how occupancy and reviews add business context to Mobility and their development status. Read guide → concept Occupancy — PMS Plan hotel occupancy context for Mobility and distinguish occupancy from presence or network usage. Read guide → concept Reviews Plan structured guest-feedback context for Mobility without confusing ratings with technical measurements. Read guide →