Results for “dbt-cloud”

SQL with dbt. SQL queries.

Bitbucket CLI for Data Center and Cloud. Use when users need to manage repositories, pull requests, branches, issues, webhooks, or pipelines in Bitbucket. Triggers include "bitbucket", "bkt", "pull request", "PR", "repo list", "branch create", "Bitbucket Data Center", "Bitbucket Cloud", "keyring timeout".

dbt (data build tool) transforms data in your warehouse using SQL SELECT statements. Learn project setup, models, tests, documentation, incremental materializations, and integration with data warehouses like PostgreSQL, BigQuery, and Snowflake.

Provides dbt patterns for data transformation and analytics engineering, including model structures, incremental models, and testing.

Transforms data in warehouses using dbt with SQL models, tests, and documentation. Use for analytics engineering and data transformation.

Provides guidance and best practices for working with dbt, covering core concepts, patterns, troubleshooting, and deployment strategies.

Guides the setup and use of dbt for extract-transform-load workflows.

Bitbucket CLI for Data Center and Cloud. Use when users need to manage repositories, pull requests, branches, issues, webhooks, or pipelines in Bitbucket. Triggers include "bitbucket", "bkt", "pull request", "PR", "repo list", "branch create", "Bitbucket Data Center", "Bitbucket Cloud", "keyring timeout".

Use for creating, reviewing, debugging, or testing dbt SQL projects involving models, sources, ref, tests, macros, materializations, incremental models, snapshots, seeds, selectors, compiled SQL, or dbt artifacts. Do not use for generic SQL with no dbt graph, warehouse administration, semantic-layer product configuration, or orchestration outside dbt.

Provision Bigtable instances, design performant schemas, and query data using gcloud, cbt, or client libraries.

Provides guidance for Oracle Database administration, SQL and PL/SQL development, performance tuning, security, ORDS, SQLcl, migrations, frameworks, and agent-safe database workflows.

Manage Azure SQL resources (servers, databases, elastic pools, firewall rules, failover groups) using the Azure Resource Manager SDK for .NET.

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

Protects stateful GKE workloads by configuring backup plans, restore workflows, and disaster recovery using Backup for GKE.

Restores the most recent diagnosis snapshot saved by dbs-save, allowing users to continue a previous diagnostic session.

Turns a local folder into a searchable, maintainable knowledge base for AI agents, handling setup, navigation, content ingestion, querying, and health checks without external databases or RAG systems.

Save the current diagnosis state to disk for cross-session recall, including conclusions, rejected directions, and next steps.

Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines

Compute, object storage, block storage, a managed relational database, a message

Dbt reference tool. Use when working with dbt in data contexts.

Designs ETL/ELT data pipelines with Apache Airflow, dbt, or Prefect configurations

Perform authorized penetration testing against AWS, Azure, and GCP cloud environments using cloud-specific tools and methodologies, with findings mapped to the MITRE ATT&CK Cloud matrix.

etcd distributed key-value store reference. Backbone of Kubernetes. Covers key-value operations, watch for real-time updates, leases with TTL, atomic transactions, cluster setup, backup/restore, authentication, TLS, and Prometheus monitoring.

Guides users in choosing, organizing, syncing, sharing, and backing up personal files across iCloud, Google Drive, Dropbox, and OneDrive.

Routes users to specialized business tools based on their current context: onboarding, pre-task routing, or post-task navigation.

Create dbt test creator operations. Auto-activating skill for Data Pipelines. Triggers on: dbt test creator, dbt test creator Part of the Data Pipelines skill category. Use when writing or running tests. Trigger with phrases like "dbt test creator", "dbt creator", "dbt".

Manage Cloudflare D1 SQLite databases and KV key-value stores with setup commands, TypeScript usage patterns, and a decision matrix for choosing between them.

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

Azure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data. Triggers: "cosmos db rust", "CosmosClient rust", "container", "document rust", "NoSQL rust", "partition key".

用户咨询腾讯云产品资源、AWS、阿里云等多云资源时，查看智能顾问架构图、架构目录、架构详情、架构评估结果、绘制架构图、开通智能顾问时、AI智能巡检、AI容量监测、AI混沌演练、AI云诊断、主动预警、架构健康度、云运维问答、云资源查询、云成本优化、安全合规、云资源盘点、闲置资源检查、云产品最佳实践等AIOps、ChatOps、CloudOps操作时使用。

Provisions and manages Redpanda Cloud Dedicated clusters via the Control Plane API, covering network and cluster creation, polling operations, and connectivity configuration.

You are an expert in dlt, the open-source Python library for building data pipelines. You help developers load data from any API, file, or database into warehouses and lakes using simple Python decorators — with automatic schema inference, incremental loading, and built-in data contracts. dlt is the "requests library for data pipelines."

Deploy cloud-native deception across AWS, Azure, and GCP using decoy resources that generate high-fidelity alerts when attackers interact with them.