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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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6 IT skills you need to be successful in IoT (Internet of things) Career

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http://www.indeed.com/jobs?q=Internet+of+things&l=United+States&indpubnum=6634974704162507
[Jobs on IoT]
The following 6 skills needed to become successful in IoT career:

Business Intelligence: Collect, store, & analyze smart device data streams, sensor data
analysis, data center management, predictive analytics, and programming skills in
leading big data platforms

Information Security: Vulnerability assessment, PKI security, ethical hacking, wireless
network security, data ethics, and privacy policies

 UI/UX Design: Ability to develop effective, user-friendly interfaces, responsive web
design, and service design

Mobile Development: Knowledge of mobile apps that communicate with external
hardware and sensors

Hardware Engineering: Develop and install Wi-Fi™, Bluetooth®, and other connectivity
solutions, computer-aided design, micro-electromechanical systems engineering,
wireless sensor design, and quality assurance

Networking: Design, maintain, and optimize large-scale traffic across secure,
reliable, and redundant backbones that connect different destinations with knowledge
of typical wireless connections, EFID, and emerging wireless protocols

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