Results for “database-class”

Discover, classify, and protect sensitive data across cloud storage, databases, and data pipelines using Amazon Macie, Azure Information Protection, and Google Cloud DLP API.

Creates and manages Cloud SQL instances, databases, and users for MySQL, PostgreSQL, and SQL Server using gcloud CLI commands.

Provides PostgreSQL query patterns covering SELECT, JOINs, subqueries, CTEs, window functions, and advanced SQL techniques.

Database management and queries. Connect to SQL and NoSQL databases, run queries, and manage schemas.

SQL patterns for database querying and design

Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.

Guides database design, implementation, optimization, migrations, data pipelines, and operations across SQL and NoSQL platforms.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Teaches standard SQL for creating, managing, and querying relational databases, covering DDL, DML, DQL, DCL, joins, subqueries, and best practices.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Use when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.

Design database schemas, plan data migrations, optimize queries, and model data relationships using expert analysis and automated tools.

Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.

Translate natural language into SQL queries, optimize database performance, generate migrations, explore schemas, and work with ORMs across PostgreSQL, MySQL, SQLite, and SQL Server.

Oracle Database specific features. Covers data types, sequences, synonyms, partitioning, and Oracle-specific SQL syntax. Use for Oracle database work. USE WHEN: user mentions "oracle", "oracle database", "sequences", "synonyms", "DUAL", "SYSDATE", "NVL", "DECODE", "Oracle partitioning", "Oracle specifics" DO NOT USE FOR: PostgreSQL - use `postgresql` instead, SQL Server - use `sqlserver` instead, PL/SQL programming - use `plsql` instead

Oracle Database guidance for SQL, PL/SQL, SQLcl, ORDS, administration, app development, performance, security, migrations, and agent-safe database workflows. Use when the user asks to write, edit, rewrite, review, format, debug, tune, or explain SQL; create or refactor PL/SQL; use SQLcl, Liquibase, ORDS, JDBC, node-oracledb, Python, Java, .NET, or database frameworks; troubleshoot queries, sessions, locks, waits, indexes, optimizer plans, AWR, ASH, migrations, schemas, users, roles, privileges, backup, recovery, Data Guard, RAC, multitenant, containers, monitoring, auditing, encryption, VPD, or safe agent database operations.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

MySQL relational database. Covers queries, indexes, and optimization. Use when working with MySQL databases. USE WHEN: user mentions "mysql", "mariadb", asks about "AUTO_INCREMENT", "ON DUPLICATE KEY UPDATE", "GROUP_CONCAT", "mysql specific syntax" DO NOT USE FOR: PostgreSQL - use `postgresql` instead, MongoDB - use `mongodb` instead, Oracle - use `oracle` instead, SQL Server - use `sqlserver` instead

Administra bases de datos PostgreSQL, MySQL, Redis y SQLite: diseña esquemas, optimiza queries, configura migraciones, replicación y backups.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, technology selection, or data modeling decisions.

Quick reference for PostgreSQL best practices covering indexing, schema design, query optimization, and security defaults.

Generates and reviews MariaDB CREATE SEQUENCE statements with version-specific syntax, defaults, and gotchas.

Guides database design, implementation, optimization, migration, pipeline development, and operations across SQL and NoSQL platforms.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Connect to PostgreSQL, MySQL, SQLite, and SQL Server databases using SQLAlchemy, Pandas, and DuckDB. Read and write tables, manage sessions, and handle connection strings securely.

Explains syntax differences for common SQL operations across PostgreSQL, MySQL, SQL Server, and Oracle, including auto-increment keys, string concatenation, date functions, pagination, booleans, JSON, case sensitivity, and recursive CTEs.

Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.

Explains ACID transaction properties and provides Python implementations for atomic operations, consistency validation, isolation levels, and durable storage.

Guides database design, implementation, query optimization, migrations, data pipeline development, and operations across SQL and NoSQL platforms.

Provides safe, reversible database schema change patterns for PostgreSQL, MySQL, and common ORMs, with guidance on zero-downtime deployments, rollbacks, and migration tooling.