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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 Shell Scripting and Job Scheduling

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Shell scripting and job scheduling are two major tasks for any UNIX developer. I am presenting here essential commands that need for any developer.

 Shell Scripts commands
  • Shell script basics
  • Variables in shell scripts
  • Kornshell arithmetic 
  • Commands for scripts
  • Flow control, tests, and expressions
  • Making Scripts Friendlier
  • Functions
  • Pipes and Shell Scripts
  • Scripts with awk and/or sed
Job Scheduling commands
  • bg and at
  • cron
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