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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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7 Amazing Ideas to Make Resume for First Job

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Resume writing is a skill. Out of a thousand applications, only a few would shortlist for the next process. Here are my ideas to provide in your resume before you send it out.


7 Top Resume Ideas Worth to Read

Resume format

How to make resume format
  • Give Mobile number and E-mail on the top of your resume.
  • Use MS-word to format it.
  • Organize information using bullets wherever the need.
  • Check Spell and Grammar.
  • Two pages are ideal for any type of job.

7 Amazing ideas

Detailed resume ideas
  1. Provide genuine-experience.
  2. Transferable skills such as Public-speaking, Customer-communication - good to mention.
  3. Provide previous experience in reverse order - last-in-first.
  4. Keep educational qualification after the experience.
  5. No need to mention weaknesses.
  6. Add awards you received during your employment.
  7. Not required salary details.

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