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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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12 Must Read DevOps Principles That Give Fair Idea on The Concept

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Here're twelve essential DevOps Principles. Below is the useful list for your sure success in your next interview.


12 Essential Principles



12 DevOps principles


  1. To deliver rapidly without affecting the quality.
  2. Improved Communication and Collaboration.
  3. Multiple deploys are possible if the code in the development team is automated.
  4. Once you commit to the repository, it tests the code automatically using the automated test scripts.
  5. If the Build passed, it installs automatically.
  6. Installs automatically to n number of servers.
  7. Minor changes take place in isolation - it creates a separate server to deploy minor changes.
  8. Speed in DevOps helps organizations to serve their clients faster and more effectively.
  9. Quality and Security teams.
  10. Automating the process improves productivity over the manual method.
  11. Deploy frequently - the changes can be small or big.
  12. DevOps has multiple benefits over traditional approach.

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