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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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19 Top Unix File Scenario Commands

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ETL developers main task is to browse various flat files before they start testing. File browsing in UNIX is tricky. If you know right command to do it you can save a lot of time. These 19 top UNIX files commands useful to use in your project. In UNIX a file normally can have Header, Detail and Trailer. There are scenarios where you need only details without header and Trailer, and need only recent one record, and you need to skip some records from the input files. So for all the File based scenarios, I have given useful UNIX commands.   1). How to print/display the first line of a file?  There are many ways to do this. However the easiest way to display the first line of a file is using the [head] command.  $> head -1 file. Txt If you specify [head -2] then it would print first 2 records of the file.  Another way can be by using [sed] command. [sed] is a very powerful text editor which can be used for various text manipulation purposes like this.  ...
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