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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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How to Send Shell script Result to Email

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The shell-script result you can send to email. Below, you will find the steps you need to do it. There are two steps and both will help you know the entire process. Sending shell-script results to email Creating shell-script Sending the result to email 1. Creating shell-script Create an empty script Create test1.sh script using the vi command with the Sudo command. $sudo vi test1.sh Write the first line in the script #!/bin/bash exec > out1.txt 2>&1 Add logic in the shell script #!/bin/bash exec > out1.txt 2>&1 echo" Here is my logic" Provide executable permissions to your script $ sudo chmod +x test1.sh Run your script using the command below $ ./test1.sh Verify the output $ cat out1.txt 2. Sending result to email Use the below command to send the output (result) to email. $ mail <<output file path name>> abc@gmail.com Bottom-line These steps are helpful to send the output to an email.  References How to Install Mailx Utility in Linux
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