Extract, transform, and load (ETL) - Azure Architecture Center
https://learn.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl
Extract, load, and transform (ELT)Data flow and control flowTechnology choicesContributorsNext stepsRelated resourcesExtract, load, and transform (ELT) differs from ETL solely in where the transformation takes plac…Typical use cases for ELT fall within the big data realm. For example, you might start by extracting all of the source data to flat files in scalable storage, such as a Hadoop distributed file system, an Azure blob store, or Azure Data Lake gen 2 (or a combination). Technologies, such as Spark, H…In practice, the target data store is a data warehouse using either a Hadoop cluster (using Hive …The data store only manages the schema of the data and applies the schema on read. For example, a Hadoop cluster using Hive would describe a Hive table where the data source is effectively a path to a set of files in HDFS. In Azure Synapse, PolyBase can achieve the same r…See more on learn.microsoft.comExpand your search Extract, load, and transform (ELT) differs from ETL solely in where the transformation takes plac…Typical use cases for ELT fall within the big data realm. For example, you might start by extracting all of the source data to flat files in scalable storage, such as a Hadoop distributed file system, an Azure blob store, or Azure Data Lake gen 2 (or a combination). Technologies, such as Spark, H… In practice, the target data store is a data warehouse using either a Hadoop cluster (using Hive …The data store only manages the schema of the data and applies the schema on read. For example, a Hadoop cluster using Hive would describe a Hive table where the data source is effectively a path to a set of files in HDFS. In Azure Synapse, PolyBase can achieve the same r…
Extract, load, and transform (ELT) differs from ETL solely in where the transformation takes plac…Typical use cases for ELT fall within the big data realm. For example, you might start by extracting all of the source data to flat files in scalable storage, such as a Hadoop distributed file system, an Azure blob store, or Azure Data Lake gen 2 (or a combination). Technologies, such as Spark, H…
In practice, the target data store is a data warehouse using either a Hadoop cluster (using Hive …The data store only manages the schema of the data and applies the schema on read. For example, a Hadoop cluster using Hive would describe a Hive table where the data source is effectively a path to a set of files in HDFS. In Azure Synapse, PolyBase can achieve the same r…
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