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  • Extract, transform, load - Wikipedia
    Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container The data can be collected from one or more sources and it can also be output to one or more destinations
  • Extract, transform, load (ETL) - Azure Architecture Center
    extract, transform, load (ETL) is a data pipeline used to collect data from various sources It then transforms the data according to business rules, and it loads the data into a destination data store
  • ETL Process in Data Warehouse - GeeksforGeeks
    The ETL (Extract, Transform, Load) process plays an important role in data warehousing by ensuring seamless integration and preparation of data for analysis This method involves extracting data from multiple sources, transforming it into a uniform format, and loading it into a centralized data warehouse or data lake
  • What is ETL (extract, transform, load)? - IBM
    ETL—meaning extract, transform, load—is a data integration process that combines, cleans and organizes data from multiple sources into a single, consistent data set for storage in a data warehouse, data lake or other target system ETL data pipelines provide the foundation for data analytics and machine learning workstreams
  • What is ETL? - Extract Transform Load Explained - AWS
    Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse ETL uses a set of business rules to clean and organize raw data and prepare it for storage, data analytics, and machine learning (ML)
  • What is ETL? (Extract Transform Load) - Informatica
    ETL stands for extract, transform and load ETL is a type of data integration process referring to three distinct steps to used to synthesize raw data from it's source to a data warehouse, data lake or relational data base
  • What is ETL? - Google Cloud
    ETL stands for extract, transform, and load and is a traditionally accepted way for organizations to combine data from multiple systems into a single database, data store, data warehouse, or data
  • What Is ETL? - Oracle
    Extract, transform, and load (ETL) is the process data-driven organizations use to gather data from multiple sources and then bring it together to support discovery, reporting, analysis, and decision-making
  • What is ETL? Overview of ETL Process, Tools, Use Cases
    ETL stands for Extract, Transform, and Load It is the underpinning of today’s data-driven businesses and fundamentally defines a three-step process Extraction: Raw data is acquired from disparate sources (such as a database or an application)
  • What is ETL? - Teradata
    ETL, or Extract, Transform, and Load, refers to the process in data warehousing that concurrently reads or extracts unstructured data from the source system—such as a data lake—converts (or transforms) the data into the proper format for querying and analysis, and loads it into an on-site data warehouse, cloud data warehouse, operational data st





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