![]() while using "Lorem ipsum" strings and random numbers is not a realistic enough to be meaningful. Using fake data can be useful during system development, testing, and demos, mainly because it avoids using real identities, full names, real credit card numbers or Social Security numbers, etc. Hackolade Studio allows you to generate fake but realistic data for your data models. Generate Schema Error during Couchbase reverse-engineering.Document types for Couchbase are not discovered as expected.Access issues when doing reverse-engineering of Couchbase.Server timeout during read query at consistency LOCAL_ONE.SSH-RSA key rejected with message "no mutual signature algorithm".MongoDB error not master and slaveOk=false.Managing multiple license keys and seats.Windows access denied error during upgrade.Professional Edition deployment options.Infer Primary Keys and Foreign Key Relationships.Suggest denormalization of a SQL schema.Identity Provider SSO (external browser).Migration to enhanced custom properties.Attribute boxes in hierarchical schema view.Benefits of data modeling apply to NoSQL and Agile.NoSQL databases, storage formats, REST APIs.Pre-populate new entities using snippets.Integrate the CLI with DevOps CI/CD pipelines.Add a choice, conditional, or pattern field. ![]() Query-driven data modeling based on access patterns.Exhibit A - Open Source components/libraries. ![]()
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