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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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4 Top Upcoming IoT Applications

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New types of applications now part of Vehicle and the smart-house, in which appliances and services that provide notifications, security, energy-saving, automation, telecommunication, computers, and entertainment into a single ecosystem with a shared user interface.

4 Top Upcoming IoT Applications

Four Top IoT Applications

Developing technology in Europe right now—demonstrating, testing, and deploying products—it will be much nearer to implementing smart environments by 2022.
  • In the future, computation, storage, and communication services will lead. Those are:
  • Smart objects
  • The machines, platforms, and the surrounding space (e.g., with wireless/wired sensors, M2M devices, RFID tags, etc.) will create a highly decentralized pool of resources (up to the very edge of the “network”) interconnected by a dynamic network of networks.
  • The “communication language” will be based on interoperable protocols, operating in heterogeneous environments and platforms.
Sources
  1. European market potential for integrated internet of things and big data services

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