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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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Cloud Computing: Horizontal Vs. Vertical Scaling

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The purpose of cloud computing is resource utilization. You can scale up the resources in two ways - vertical and horizontal.

Adding resources, you can do either horizontally and vertically. The advantages and drawbacks you can find in simple words.


Cloud Computing: Horizontal Vs. Vertical Scaling
Scaling

1. Horizontal Scaling


Advantages


  • You can increase workloads in small steps.
  • The upgrade-cost is far less.
  • Scale the system as much as needed.


Drawbacks

  • Dependency on software applications is more for Data distribution and parallel processing.
  • On top of that, fewer software applications exist in the market.


You May Also Like: 9 Top Services AWS Provided



2. Vertical Scaling




Advantages



  • Since it is a single machine, it is easy to manage.
  • On the fly, you can increase workloads.



Drawbacks


  • It is expensive. You need a huge investment.
  • The machine should be powerful to take more workloads - future use.



Below is the List of Resources that You can do both Horizontal and Vertical Scaling



  1. Platform Scaling
  2. Network Scaling
  3. Container Scaling
  4. Database Scaling


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