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 data processing expert with MongoDB to Redshift

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    need daily job support for azure daya engineering - data factory, data bricks, SQL. Payment will monthly. time required daily 2.5 hrs.

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    I’m reaching out to see if you’d be interested in a job opportunity as *Informatica PowerCenter* SME (subject matter expert). We are looking for a content creator/validator. Please let me know if you are up for it. It's a *PAID* opportunity.

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    I need someone with expertise in ETL background, data warehouse, data mapping, SQL to help me train and ongoing support for a job I am working in.

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    This contract is expected to be 6-12 months, with a possibility of another 6 month extension. It is a remote postion. Applicants must have at least 5 years of experience. Position Overview: Must have Azure Data Factory Experience. The Senior Contract Data Engineer will help design and build data marts for reporting and analysis using Azure Data Factory, Power BI and other business intelligence applications to support our reporting platform. This position will be supporting various stages of the end-to-end data integration and report development lifecycle, with specific responsibilities related to the requirements and architecture of our reference system. What you’ll be doing: Implement Azure Data Factory pipelines to support data sourcing, transformations and load into Azu...

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    SQL query 1 day left

    Simple SQL query have to develop

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