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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    ETL pipeline 11 jam left
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    Scenario: Each day we receive data from a collaborating hospital about patients' blood glucose levels. A patient has their level measured three times, and those reading are averaged together to determine if the patient's blood sugar level is normal, pre-diabetic or diabetic (a blood sugar level less than 140 mg/dL (7.8 mmol/L) is normal, more than 200 mg/dL (11.1 mmol/L) after two hours ...

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    I have a project to copy data from the source to azure SQL DB through ADF.

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    In need of a professional to perform ETL & analysis of health industry data to be used in C-Suite reports and B2B software applications. Prefer years of daily work experience with Knime. Please write Koala at the top of the submission (which means you passed the first 'truly reads and pays attention to details' test. ;)

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    Javascala data engineer -- 2 5 Hari left
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    Java - Spark streaming with DStreams, from Kafka running on Data Proc Long term project How many years of development do you have? Ans: What is your primary language Java, Scala or python ? Ans: For how long have you done data engineering? Ans: What cloud experience do you have? Ans: Russian Speaking Recommended! Tasks: - Build the infrastructure required for optimal extraction, transformation,...

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    need training on Rightdata ETL tool urgently

    ETL
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    SSIS Expert 22 jam left
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    Bug Fixing in existing reports / ETL processes Creation of new related MIS reports Development of new ETL processes Support for execution & monitoring of ETL batch processes Testing support to the development team Project coordination support Support during version upgrade of the solution stack

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    Artikel Komunitas ETL Teratas