PinnedPublished inTowards DevCI/CD for Modern Data EngineeringIn this article, we’ll walk through setting up a CI/CD pipeline tailored for modern data engineering. We’ll use a simple ETL pipeline as…Aug 19, 20244Aug 19, 20244
PinnedPublished inTowards DevData Engineering with Kubernetes: End-to-End Data PipelineIn this article, we dive into setting up Kubernetes for modern data engineering tasks. We’ll cover everything from installation to running…Jul 27, 20245Jul 27, 20245
PinnedEssential Azure Services for Data Engineers: Explained Like You’re 15Introduction:Aug 31, 20241Aug 31, 20241
PinnedEssential AWS Services for Data Engineers: Explained Like You’re 15Introduction:Apr 10, 20234Apr 10, 20234
Published inGoPenAIGenerative AI for Data Engineering: Data Querying, Analysis and Optimization — Part 2Series 3: Part 2 — Query OptimizationMar 14Mar 14
Published inGoPenAIGenerative AI for Data Engineering: Data Querying, Analysis and Optimization— Part 1Series 3: Part 1 — Querying Data and AnalysisMar 13Mar 13
Published inGoPenAIGenerative AI for Data Engineering: Data Parsing and Extraction — Part 3Series 2: Part 3 — Named Entity Recognition (NER)Feb 19Feb 19
Published inTowards DevGenerative AI for Data Engineering: Data Parsing and Extraction — Part 2Series 2 - Part 2 Extracting Data from Web Scpares and ImagesFeb 18Feb 18
Published inTowards DevGenerative AI for Data Engineering: Data Parsing and Extraction — Part 1Series 2: Data Parsing and ExtractionFeb 17Feb 17
Published inTowards DevGenerative AI for Data Engineering: Data Generation and Augmentation — Part 4Handling PII and Imbalanced DatasetsFeb 6Feb 6