CSV File is a widely used flat file format that stores tabular data in plain text using comma delimiters, enabling easy data exchange between systems, applications, and spreadsheet software.
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This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
A CSV (Comma Separated Values) file is a type of plain text file that stores tabular data in a structured format. Each line in the file represents a row of data, and each value within a row is separated by a comma. CSV files are commonly used for exchanging data between different software applications, such as spreadsheets and databases. They are also used for importing and exporting data from web applications and for data analysis. CSV files can be easily opened and edited in any text editor or spreadsheet software, making them a popular choice for data storage and transfer.
CSV File gives access to various types of data in a structured format that can be easily integrated into various applications and systems.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
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