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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 Key features to know in Industrial IoT

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The Industrial Internet is somewhat similar to the Internet of Things (IoT), sometimes even referred to as the “Industrial Internet of Things”.
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The general idea behind the IoT

It is that many hi-tech and simple electronic devices would become interconnected with M2M (Machine-to-Machine) protocols, and therefore remotely controlled and relaying data to each other, without any manual input, or even equipped with ambient intelligence.

Role of Smart Phones

This idea is currently used in smart houses, and many seek wider applications. Its industrial counterpart can be viewed more from a resource and manufacturing perspective.

Robots

We can currently see such trends in mining, with automated trains, robotic hauling trucks, excavators, drills, and mineral processing plants, including remote fault, and malfunction control, calibration, and configuration for increased efficiency.

Automation

Despite the current and constant need for “on-site” human workers and operators, the trend is moving towards eliminating the human factor to the required minimum, thus a single central operation control room could remotely operate and supervise several operation sites. Human operators could also be issued with remote ATLAS-like humanoid substitutes if necessary.

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