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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    Small tasks over aws 6 Hari left
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    Hi, We have frequent AWS related tasks those are smaller in nature like: 1- Setting up EC2 instance (example: Task #1) 2- Setting up Spark EMR (example: Task #2) 3- Writing small ETL job to fetch one public sample data set (example: Task #3 and so on. Each task can be completed within 15-30 minutes if you have right skill set. For each task the budget is 10$.

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    •Experience in AWS cloud ,redis database and developing spark scala etl workflows . •Spark scala will be the main requirement •Need to work on scala backend with API development •Need to develop scala scripts for the business requirements •Need ETL workflow and help in migration generation part. •Need support daily 2 hours •Experience:- 6-8 yrs •Budget:- Rs.25,000/-

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    I have a file for an example hosted on public server. The requirement is to have PySpark ETL script to fetch contents and send to elasticsearch. Implement sample test data pipeline with databricks on aws cloud.

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    Looking someone who has experience with Amazon Spark EMR and writing python ETL script to fetch sample csv from *.gz and send to Elasticsearch.

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    Looking someone who has experience with Amazon Spark EMR and writing python ETL script to fetch sample csv from *.gz and send to Elasticsearch.

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    Looking someone who has experience with Amazon Spark EMR and writing python ETL script to fetch sample csv from *.gz and send to Elasticsearch.

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    Location: Remote Time: 10:30am – 7:30pm Contract: 6months SSIS Developer Skills / Experience: Required skills: • Must have 6+ yrs of experience in Business Intelligence development/integration or with SQL server development. • Min 2yrs hands-on experience in developing SSIS packages. • Capable and willingness to work single handedly on implementing SSIS solutions. • Must have exposure to at least 1 end-end solution design using SSIS. • Should have experience working with PL/SQL procedures and commands. • Should have a strong experience in SQL Server. • Should have excellent understanding of MS SQL Server & Data Warehousing architecture. • Should have good understanding of business processes and functional programming. • Good communic...

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