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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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6 Top IT Skills that have Huge demand for the next 5 Years

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These are top IT skills you need to know. Also, these are highly employable skills. These you can say as digital skills. Digital skills fetch you best salary, according to surveys by top job portals.
top it skills useful to know

6 Top IT SKills

  1. SAS and R Programming
  2. Full stack development
  3. Data Engineering
  4. Data Scinece
  5. Mobile development - Perl, Ruby and Python
  6. Middleware integration software.

The Bottom Line

  • The trend is now changed. You can attend off-line and On-line courses and you can practices daily two hours.
  • Within 2 or 3 months you can be perfect.
  • Select any one skill for your employability.
  • You cannot learn all the skills. It is dofficult to tell answers in the interviews.

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