{"id":1063,"date":"2022-01-08T16:34:39","date_gmt":"2022-01-08T15:34:39","guid":{"rendered":"https:\/\/newdatalabs.com\/en\/?page_id=1063"},"modified":"2024-04-08T14:53:08","modified_gmt":"2024-04-08T12:53:08","slug":"etl","status":"publish","type":"page","link":"https:\/\/newdatalabs.com\/en\/etl\/","title":{"rendered":"ETL"},"content":{"rendered":"\n
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ETL – how to prepare
data for analysis<\/span><\/h1> \n
Need to overlay data from multiple sources? Your data is unstructured and needs cleaning? Would you like to automate all this and get a powerful source for analysis? Learn modern ETL technologies that will allow you to focus on building data models. \n

\nTake advantage of data preparation services
\nand speed up your data work later.<\/strong> <\/div>\nFind out more <\/a> \n<\/div>\n<\/div><\/section> \n
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ETL process <\/span>– what is it?<\/h2> \n
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\nThe ETL (Extract-Transform-Load) process<\/strong> is one of the most important elements of Business Intelligence implementations. It allows us to integrate data from all our systems, applications and collect it in one place. \n

\nExtract<\/strong> – extracting data from a specific source.
\nData can be obtained by, among other things:
\n– connecting the source system to the database,\n– making data available by the source system, e.g. in the form of flat files and database tables,
\nAPI – Application Programming Interface, thanks to which it is possible to download data from a particular period \n

\nTransform<\/strong> – transformation. It involves the transformation of data into such a form that it can be analyzed correctly. The process of data processing is performed by means of operations like: Pivoting (converting rows to columns or columns to rows), aggregating data, cleaning, merging, unifying, joining and filtering. \n

\nLoad<\/strong> – loading. This is the last step thanks to which the data will be loaded into the output form, e.g. Tableau extracts or database tables.\n\n
\nFind out more <\/a>\n<\/div> \n<\/div> \n<\/section> \n
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How can we help you? <\/span><\/h2> \nWe propose: \n