Lorena GonganginTowards Data EngineeringWhich is the hardest: Extraction, Transformation, or Loading?Examining the most crucial Phase in the ETL process1d ago1d ago
Lorena GonganginDataDrivenInvestorWho or What dictates the Data engineering industry?A reflection on the key factors of the data engineering industry4d ago24d ago2
Lorena GonganginArt of Data EngineeringTop Cloud Services That Every Data Engineer Should KnowMust-Know Cloud Services for Data EngineersSep 181Sep 181
Lorena GonganginArt of Data EngineeringCategories of Data Engineering RolesAn Overview of Different Types of Data Engineering RolesSep 11Sep 11
Lorena GonganginData Engineer ThingsHow I build an ETL pipeline with AWS Glue, Lambda, and TerraformA Step-by-Step GuideMay 124May 124
Lorena GonganginArt of Data EngineeringOrganizing S3 as a Data Lake: Insights from My Latest ProjectEfficient Folder-based Organization for Data Management and Lifecycle on Amazon S3Apr 91Apr 91
Lorena GongangOf the 5 V’s of Big Data, is Variety the real challenge?A quick reflection on Variety as a challenge for Big DataMar 24Mar 24
Lorena GonganginData Engineer ThingsBuilding a Real-Time End-to-End Streaming Pipeline ProjectA Step-by-Step Guide to Building a Streaming PipelineMar 15Mar 15
Lorena GonganginData Engineer ThingsHow I Transform S3 Data with AWS Glue JobsA Step-by-Step Guide to Transforming S3 Data with AWS Glue JobsMar 91Mar 91
Lorena GonganginArt of Data EngineeringHow I automate my Glue Job using AWS SNS and AWS LambdaA user-friendly approach to scheduling AWS Glue jobs effortlesslyMar 61Mar 61