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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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IoT Project in auto industry real guidelines you need to implement

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IoT enabling traffic management and control: Cars should be able to organise themselves in order to avoid traffic jams and to optimise drive energy usage.

1# Why IoT in auto industry

This may be done in coordination and cooperation with the infrastructure of a smart city’s traffic control and management system.

Additionally dynamic road pricing and parking tax can be important elements of such a system. Further mutual communications between the vehicles and with the infrastructure enable new methods for considerably increasing traffic safety, thus contributing to the reduction in the number of traffic
accidents.
IOT implementation
IOT implementation

#2 New Opportunities

IoT enabling new transport scenarios (multi-modal transport): In such scenarios, e.g. automotive OEMs see themselves as mobility providers rather than manufacturers of vehicles.

The user will be offered an optimal solution for transportation from Ato B, based on all available and suitable transport means. Thus, based on the momentary traffic situation an ideal solution may be a mix of individual vehicles, vehicle sharing, railway, and commuter systems. 

In order to allow for seamless usage and on-time availability of these elements (including parking space), availability needs to be verified and guaranteed by online reservation and online booking, ideally in interplay with the above mentioned smart city traffic management systems.

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