{"id":39698190,"url":"https://github.com/databricks-solutions/specialist-offerings","last_synced_at":"2026-01-18T10:19:07.146Z","repository":{"id":328331650,"uuid":"1067607317","full_name":"databricks-solutions/specialist-offerings","owner":"databricks-solutions","description":null,"archived":false,"fork":false,"pushed_at":"2025-12-19T23:12:14.000Z","size":62,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-12-22T10:17:49.669Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/databricks-solutions.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":"CODEOWNERS.txt","security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":"NOTICE.md","maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-10-01T05:39:53.000Z","updated_at":"2025-11-10T23:16:14.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/databricks-solutions/specialist-offerings","commit_stats":null,"previous_names":["databricks-solutions/specialist-offerings"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/databricks-solutions/specialist-offerings","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fspecialist-offerings","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fspecialist-offerings/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fspecialist-offerings/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fspecialist-offerings/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/databricks-solutions","download_url":"https://codeload.github.com/databricks-solutions/specialist-offerings/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fspecialist-offerings/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28534316,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-18T10:13:46.436Z","status":"ssl_error","status_checked_at":"2026-01-18T10:13:11.045Z","response_time":98,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-01-18T10:19:06.499Z","updated_at":"2026-01-18T10:19:07.137Z","avatar_url":"https://github.com/databricks-solutions.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Databricks Specialist Solutions Architect Content Repository\n\nThis repository serves as the official storage and distribution platform for Databricks Specialist Solutions Architect (SSA) content. It contains a comprehensive collection of technical resources, engagement materials, and structured content designed to support SSA activities and customer engagements.\n\n## Repository Purpose\n\nThis repository provides a centralized location for SSAs to access, share, and collaborate on official content including:\n\n- Technical resources and documentation\n- Engagement materials and templates\n- Structured offerings and methodologies\n- Best practices and reference implementations\n- Training materials and knowledge sharing content\n\nSome content in this repository includes structured \"Offerings\" - proactive, prescriptive engagement catalogs that focus on outcomes and optimize the ASQ process for driving momentum and results. These offerings are designed to:\n\n- Accelerate the adoption of new technologies (e.g., Unity Catalog, GenAI)\n- Expedite technical evaluation and competition (e.g., Databricks SQL, GenAI)\n- Streamline positioning and hand-off to Professional Services and Partners\n\nThese Offerings should include a `catalog-listing.yml` file to promote discoverability with internal tooling. \n\n## Repository Structure\n\nThis repository is organized into four main domains, each containing content focused on specific technology areas:\n\n### 📊 Data Warehousing (`/data-warehousing`)\n**Purpose:** Accelerate adoption of modern data warehousing technologies, expedite technical evaluation, and streamline positioning for data warehousing solutions.\n\n**Common Use Cases:**\n- Unity Catalog adoption and governance\n- Databricks SQL optimization\n- Data lakehouse architecture\n- Performance tuning and optimization\n- Migration strategies from traditional data warehouses\n\n### 🔧 Data Engineering (`/data-engineering`)\n**Purpose:** Accelerate adoption of modern data engineering patterns, expedite technical evaluation of data platforms, and streamline positioning for data engineering solutions.\n\n**Common Use Cases:**\n- ETL/ELT pipeline optimization\n- Data quality and governance\n- Real-time data processing\n- Data pipeline monitoring and observability\n- Modern data stack architecture\n- Apache Spark optimization\n\n### 🤖 GenAI (`/gen-ai`)\n**Purpose:** Accelerate adoption of generative AI technologies, expedite technical evaluation of AI platforms, and streamline positioning for AI/ML solutions.\n\n**Common Use Cases:**\n- Large Language Model (LLM) integration\n- Vector databases and embeddings\n- RAG (Retrieval-Augmented Generation) patterns\n- AI/ML model deployment and serving\n- MLOps and model lifecycle management\n- AI governance and responsible AI practices\n\n### 🔒 Cybersecurity (`/cybersecurity`)\n**Purpose:** Accelerate adoption of security best practices, expedite technical evaluation of security solutions, and streamline positioning for cybersecurity implementations.\n\n**Common Use Cases:**\n- Data security and encryption\n- Access control and identity management\n- Compliance and governance frameworks\n- Security monitoring and threat detection\n- Data privacy and protection\n- Security architecture and design patterns\n\n## Content Standards\n\nContent in this repository follows consistent standards to ensure quality and effectiveness:\n\n- **Clear objectives and deliverables**\n- **Well-documented and structured**\n- **Minimal overhead requirements**\n- **Prescriptive approach with structured methodology**\n\n## Getting Started\n\n1. Browse the domain folders to find relevant content\n2. Use the templates in `/templates` for creating new structured content\n3. Ensure content aligns with SSA engagement principles\n4. Focus on measurable outcomes and clear value propositions\n\n## Templates\n\nThe `/templates` directory contains standardized templates and guidelines for creating consistent SSA content across all domains. Structured offerings should follow the template structure to maintain consistency and quality.\n\n## How to get help\n\nDatabricks support doesn't cover this content. For questions or bugs, please open a GitHub issue and the team will help on a best effort basis.\n\n## License\n\n\u0026copy; 2025 Databricks, Inc. All rights reserved. The source in this notebook is provided subject to the Databricks License [https://databricks.com/db-license-source]. All included or referenced third party libraries are subject to the licenses set forth below.\n\n| library                                | description             | license    | source                                              |\n|----------------------------------------|-------------------------|------------|-----------------------------------------------------|\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatabricks-solutions%2Fspecialist-offerings","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatabricks-solutions%2Fspecialist-offerings","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatabricks-solutions%2Fspecialist-offerings/lists"}