Published inTDS ArchiveHow to Design a Batch ProcessingUnderstand batch processing from business and technical perspectiveJan 10, 2024A response icon9Jan 10, 2024A response icon9
Published inTDS ArchiveDemystify Data BackfillingLet’s talk about data engineers’ nightmareNov 20, 2023A response icon2Nov 20, 2023A response icon2
Published inTDS ArchiveHow to Streamline Communication in Data Pipelines Using MageLet the bot handle difficult communications for usJul 13, 2023A response icon2Jul 13, 2023A response icon2
Published inTDS ArchiveImplement Behaviour Driven Development in data pipelines using MageMaximize the quality and productivity of your data pipelinesJul 6, 2023A response icon2Jul 6, 2023A response icon2
Published inTDS ArchiveHow to Create Valuable Data TestsWhat matters is not the quantity, but the quality.Jul 3, 2023A response icon1Jul 3, 2023A response icon1
Published inTDS ArchiveHow to Build an On-Call Culture in a Data Engineering TeamSystematically resolve data issues in productionMar 15, 2023A response icon6Mar 15, 2023A response icon6
Published inTDS ArchiveFinOps: Four Ways to Reduce Your BigQuery Storage CostDon’t overlook the cloud storage costJan 30, 2023A response icon8Jan 30, 2023A response icon8
Published inTDS ArchiveStatus Page for Data Products — We All Need OneEffectively communicate with data usersDec 27, 2022A response icon3Dec 27, 2022A response icon3
Published inTDS ArchiveUnderstand Columnar and Row-Based DatabaseAn important step before choosing the databaseOct 28, 2022Oct 28, 2022
Published inTDS ArchiveWhat Data Engineers Can Learn from Software Engineers, and Vice VersaDon’t be limited by your job descriptionOct 25, 2022A response icon3Oct 25, 2022A response icon3