Independent Science + Technology

Category: data-pipeline

Part 4c: Data Pipeline Design and Execution

Post date October 24, 2024
Post author By Javier Galindo
Post categories In aws, business-intelligence, data-analysis, data-pipeline, docker

ContracTABLEs: Tables as Domain Contracts

Post date February 21, 2023
Post author By Nurettin Mert Aydın
Post categories In data-contract, data-governance, data-pipeline, domain-driven-design, microservices

Infrastructure as Code for Beginners

Post date February 2, 2023
Post author By Mike Shakhomirov
Post categories In big-data, data-engineer, data-pipeline, data-science, infrastructure

Building an ETL Pipeline to Load Data Incrementally from Office365 to S3 using ADF and Databricks

Post date November 20, 2021
Post author By Yi Ai
Post categories In coding, data-factory, data-pipeline, databricks, delta-lake, hackernoon-top-story, pyspark, tutorial

Commoditized Data Integration And How To Achieve It

Post date May 23, 2021
Post author By John Lafleur
Post categories In airbyte, Analytics, big-data-analytics, data-integration, data-pipeline, etl, kubernetes, technology

System Design Idea: Robust Streaming Data Processing

Post date April 25, 2021
Post author By Eileen Pangu
Post categories In cloud-computing, data-pipeline, distributed-systems, software-development, system-design-interview

Introducing Handoff: Serverless Data Pipeline Orchestration Framework

Post date April 25, 2021
Post author By handoff.cloud by ANELEN
Post categories In Analytics, aws, data-engineering, data-pipeline, devops, good-company, python, serverless

How To Productionalize ML By Development Of Pipelines Since The Beginning

Post date April 21, 2021
Post author By Hamza Tahir
Post categories In Automation, data-engineering, data-pipeline, data-science, data-science-tools, machine-learning, mlops, mlops-engineer

A Quick Introduction to Machine Learning with Dagster

Post date March 17, 2021
Post author By Stephan BV
Post categories In artificial-intelligence, dagster, data-pipeline, data-science, logistic-regression, machine-learning, random-forest, sklearn

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