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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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2 Top Differences Automation Vs Internet of Things

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Five reasons why IoT automation provides opportunities to deliver better product or Services. The data from sensors is a golden asset to derive benefits and to apply in products or services.

Automation and IoT both are different 

Automation

The automation is based on the data collected from various devices and make it happen when something goes wrong you can say as automation.

The best example is based on sensor generated data the automation tool take corrective action during course of flying from one country to other.

  Internet of Things

  1. More mobile phones than fixed
  2. New architecture models (ex: Cloud computing)
  3. The new protocol (Ipv6)
  4. Everything is Sensor-laden
  5. More machines than people

The Growth of Internet Usage

The internet will be double in size every 5.32 years. More devices can be connected to the internet through IP. The internet limitation in IPv4 is 4 billion addresses.

But, the internet limitation for IPv6 is 2^128. The total IP traffic over the internet is 1 ZettaByte as of 2011.

Data process
Wisdom from Data

Data 

  1. Information-It is the data after you did clean the raw data.
  2. Knowledge-The ideas or patterns you obtain from cleaned data.
  3. Wisdom-Building models and you can make automate the certain task.

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