From APIs to Warehouses: AI-Assisted Data Ingestion with dlt - ​Aashish Nair скачать в хорошем качестве

From APIs to Warehouses: AI-Assisted Data Ingestion with dlt - ​Aashish Nair

In this workshop, Aashish from dltHub demonstrates a new standard for data engineering. We move away from manual scripting and toward an AI-assisted workflow that uses the open-source dlt (data load tool) library to build robust, self-healing pipelines in minutes. Modern data teams are drowning in custom API integrations. Ashish reveals how dlt’s Python-first approach eliminates the need for complex "no-code" black boxes, instead providing a transparent, scalable framework that LLMs can actually understand and manage. By integrating Model Context Protocol (MCP) servers, we transition from writing code to "prompting" entire data architectures. You’ll Learn: Automated Data Normalization: Convert nested JSON into clean, relational tables using dlt’s "auto-shredding" engine. The Model Context Protocol (MCP): Connect your AI agent directly to your database schema for error-free code generation and real-time debugging. Declarative Pipeline Configuration: Manage API pagination, rate limits, and retries through simple Python configs instead of custom boilerplate. Dynamic Schema Evolution: Protect your warehouse from breaking changes with pipelines that automatically adapt when upstream API fields change. Modern Analytics Stack: Build interactive, reactive data reports using the Marimo and Ibis Python ecosystem. Data Governance & Lineage: Access built-in metadata to track every load ID and maintain a clear audit trail of your data’s origin. Links: https://github.com/DataTalksClub/data... https://openlibrary.org/developers/api https://colab.research.google.com/git... https://dlthub.com/context https://dlthub.com/context/source/ope... https://github.com/dlt-hub/dlt TIMECODES: 03:05 - The Goal of Democratizing Data Engineering with dlt 07:41 - Deep Dive: Breaking Down the Open Library API Use Case 13:16 - Defining the REST API Source in a dlt Pipeline 22:12 - The Three Phases of dlt: Extract, Normalize, and Load 27:35 - Understanding JSON Shredding and Relational Mapping 34:50 - Pain Points in Traditional API Ingestion Workflows 43:10 - Introduction to Marimo Notebooks and Ibis for Reporting 50:18 - Setting Up the Model Context Protocol (MCP) Server 56:45 - Explaining the dlt Scaffold and Configuration Files 1:02:10 - Live Demo: Prompting the AI Agent to Build the Pipeline 1:06:40 - Using the dlt Dashboard for Visual Data Inspection 1:12:05 - Querying Live Data via the AI Agent and MCP 1:18:28 - Generating Visual Reports: Bar Charts and Line Graphs 1:25:35 - Troubleshooting AI-Generated Code and Refining Logic 1:29:10 - Closing Thoughts: The Human Element in AI Workflows This session is essential for Data Engineers, Analytics Engineers, and Python Developers looking to automate the manual toil of API integration. Whether you are building a production warehouse or a RAG pipeline for AI, this workshop provides the blueprint for scalable data ingestion. Connect with ​Aashish Linkedin -   / aashish-nair   Connect with DataTalks.Club: Join the community - https://datatalks.club/slack.html Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/... Check other upcoming events - https://lu.ma/dtc-events GitHub: https://github.com/DataTalksClub LinkedIn -   / datatalks-club   Twitter -   / datatalksclub   Website - https://datatalks.club/ Connect with Alexey Twitter -   / al_grigor   Linkedin -   / agrigorev   Check our free online courses: ML Engineering course - http://mlzoomcamp.com Data Engineering course - https://github.com/DataTalksClub/data... MLOps course - https://github.com/DataTalksClub/mlop... LLM course - https://github.com/DataTalksClub/llm-... Open-source LLM course: https://github.com/DataTalksClub/open... AI Dev Tools course: https://github.com/DataTalksClub/ai-d... 👉🏼 Read about all our courses in one place - https://datatalks.club/blog/guide-to-... 👋🏼 Support/inquiries If you want to support our community, use this link - https://github.com/sponsors/alexeygri... If you’re a company, reach us at alexey@datatalks.club #dltHub #dataengineering #python #ETL #ELT #automation #AI #LLM #MCPserver #apiingestion #datawarehouse #modernstack #dataanalytics #marimo #ibis #schemanormalization #opensource #dataops #datatalksclub #dataintegration