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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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Unix: How to Write Shell Script Using vi Editor

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Unix Commands
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When you login into UNIX, you are first in the home directory:

$/home:

Then you can issue

 $/home: cd jthomas

Then you come to your own directory:

$/home/jthomas:

How to write your first script:
$/home/jthomas: vi test.sh

Here, you can write your script.
The first line in the script is:

#!/bin/ksh - It denotes which shell you are going to use.

Example:

$vi test.sh

  #!/bin/ksh 
################################################### # 
Written By: Jason Thomas # Purpose: This script was written to show users 
how to develop their first script 
################################################### # Denotes a comment

root

daemon bin sys adm uucp nobody lpd

How to run a script

$ sh test.sh

 Also read: The complete list of UNIX basic commands

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