ETL stand for extract, transform and load. ETL is a strategy with which database functions are collectively used to fetch the data. With ETL, collection and transfer of the data are a lot easier. ETL model is a concept that provides reliability with a realistic approach. The database is like a lifeline that is to be protected and secured at any cost. Failing to keep the database intact can turn out to be a disaster.

In that case, ETL is a sophisticated program that can transfer the data from one database to another. In ETL format, the data is fetched from multiple sources. This data is then downloaded to a data warehouse. Data warehouse is a place where the data is consolidated and complied. ETL is a technique that can change the format of the data in data warehouse. Once the data is compiled, it is then transferred to the actual database.

ETL is a continuous phase. First step of ETL is extraction. As the name suggest, the data is extracted using multiple tools and techniques. The second step is the transformation of the data. There are set of rules defined for the extraction process. As per the requirement, there are multiple parameters used in order to shape up the data. There are lookup tables predefined for the extraction process. Last step of ETL is the loading process. The target of the loading process is to make sure that data is transferred to the required location in the desired format.

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    Looking for Google BigQuery and Data Warehousing Consultant

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    I have to build an ETL pipeline of a data from a collaborating hospital data csv file. Goal: Store the data in a cleaned and structured format into a database/file of choice. Write the code in Python or language of choice. Design a solution that can be scaled to TB of records. Steps: 1. Make assumptions and justify them where things are unclear with comments in the code. 2. Write u...

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    airflow etl elastic -- 3 4 zile left
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    Looking for an apache airflow & python expert. Need help on a project for etl from elasticsearch to postgres. Scripts for queries in elasticsearch on the data to extract have already been created. Need airflow to manage the pipeline. Want the pipeline dockerized and postgres should be a dockerized instance as well. Would be nice to also use rabbitmq as a queuing service for transformaiton jobs...

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    Need Data Modelling expert 3 zile left
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    Hi All, Need Data modelling expert who has 10 + years of exp in Architecting Data Flow from source to desination.

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    Necesitamos a un/a Arquitecto/a de datos SR, para trabajar 1 o 2 meses en el proyecto. La disponibilidad de trabajo es part time, y la idea es comenzar lo antes posible

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    Job Requirement : Key Requirement - ETL Testing, SQL, Database Testing, Manual Testing, Testing on Azure SQL Experience - 3 to 5 years Working Hours - 8hrs/day Description - 1. Should be able to work on ETL testing and Database testing 2. Should have good knowledge of Testing concepts 3. Should have good knowledge SQL server 4. Should understand Data Warehousing concepts 5. Should have good knowl...

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    clover etl 3 ore left
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    hi, need some csv loaded using clover

    ETL
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