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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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Internet Of Things Awesome Basics You Need to Read Now: Part-2

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Internet of things(IoT) is a booming field, along with human intelligence. Across the world all software companies investing heavily on these platforms to grab opportunities coming ahead.

I want to give here various applications we can use IOT:

  1. For individual users, IoT brings useful applications like 
  2. home automation 
  3. security 
  4. automated devices monitoring and management of daily tasks.

For professionals,

  • automated applications provide useful contextual information all the time to help on their works and decision making. 
  • with sensors and actuators, operations can be rapid, efficient and more economic. 
  • Managers who need to keep an eye on many things can automate tasks connection digital and physical objects together. 
  • Every sector's energy, computing, management, security, transportation are going to be benefitted with this new paradigm. 

Vision

Development of several technologies made it possible to achieve the vision of the Internet of things. Identification technology such as RFID allows each object to represent uniquely by having a unique identifier.
Identity reader can read any time the object allows real-time identification and tracking. Wireless sensor technology allows objects to provide real-time environmental condition and context.
Smart technologies allow objects to become more intelligent which can think and communicate. Nanotechnologies are helping to reduce the size of the chip incorporating more processing power and communication capabilities in a very small chip.

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