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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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Blockchain Technology: 11 Exclusive Benefits

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Here are the benefits of blockchain technology. Less maintenance and its distributable nature made the blockchain technology hot in the market.  


Benefits
 
The applications that used blockchain technology Viz: Banks, Share markets, Government Bodies, and Big Corporations. 

What is Blockchain

Blockchain stores each transaction in Blocks. No one can tamper or change the details. The people who are making a transaction in the Blockchain world both have the same copies. he parties involved cannot changes these records. So it is robust.

Advantages of distributed ledger technology (Blockchain)

  1. The distributed nature of ledger details.
  2. Distributed data available to all parties, and cannot tamper the data.
  3. Every transaction is Public. That means only people who have access can see the information.
  4. It stores all records permanently.
  5. One cannot edit or manipulate the data.
  6. Data-hacking is not possible since it is distributed.
  7. Unlike centralized processing, the Blockchain is much faster. And verification and completing a transaction are faster.
  8. Unlike centralized processing, it is less expensive. In the centralized system each server in the network charges some amount as a processing fee. Here you can eliminate intermediaries - so less expensive.
  9. The Centralized databases are expensive to carry transactions of low value. The fee to pay intermediaries is more.
  10. The Data in the Blockchain is not editable. In the case of Centralized databases, the Banks or Private Organizations can edit them.
  11. The maintenance of Blockchain is cheaper.

Disadvantages

  • Publish carefully. Once publishes you can't take back

References

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