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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 Prepare Resume Using Online Tool

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Here are five ideas to prepare resume using online tools. The resume surely will impress  HR and interviewer.

Onlie tool


Ideas for Online Resume

  1. Here is an open-source tool so that anyone can build a digital resume on their own domain. (It’s free.) 
  2. Don’t just showcase your relevant work experience; showcase your personality. 
  3. Set up a professional email, preferably at your own domain name. 
  4. Empower others to spread the message for you (Social media)

Think outside the box to creatively get the attention of decision makers.

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