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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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The tricky interview questions on IoT to read now

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Internet of things is a tricky subject. I have given in this post on tricky interview questions asked for IoT Jobs. I have given simple to understand way.

Mobile networks already deliver connectivity to a broad range of devices, enabling the development of innovative new services and applications.

Why IoT you need


This new wave of connectivity is going beyond tablets and laptops; to connected cars and buildings; TVs and game consoles; smart meters and traffic control; with the prospect of intelligently connecting almost anything and anyone.

  • This is what the GSMA refers to as the “Connected Life”. As the Connected Life evolves, the number of mobile connections worldwide is set to rise dramatically to reach 10.5 billion by 2020, while the total number of connected devices across all access technologies could reach 25.6 billion1 .
  • These devices will bridge the physical and digital worlds, enabling a new category of services that improve the quality of life and productivity of individuals, society and enterprises.
  • This Internet of Things - a widely distributed, locally intelligent network of smart devices - will enable extensions and enhancements to fundamental services in education, health and other sectors, as well as providing a new ecosystem for application development.
  • By enabling devices to communicate with each other independently of human interaction The Internet of Things will open up new revenue streams, facilitate new business models, drive efficiencies and improve the way existing services across many different sectors are delivered.

It will represent a very important demand-side stimulus that helps finance the deployment of mobile broadband networks around the world. In total, the positive impact on the global economy could be as much as US$4.5 trillion per annum, according to a study by Machina Research.

Below are the selected interview Questions on Internet of things:

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