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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...

Telecom Domain Knowledge Useful For a Data Analyst

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Telecom companies provide five kinds of services. Those are Voice, Data, Toll-free, internet, and wireless. The given Telecom domain knowledge helpful for data analysis projects. 5 Top Telecom Services. Voice Toll-free Data service Internet Wireless  Telecom Domain Knowledge Useful for IT developers, Data Analysts, and Software Testers   In addition to the above, the latest services are Internet and wireless. Domain knowledge is crucial to design and develop the code. 1. Voice service This is the standard phone service that you have been using since the first time you called your Grandma to thank her for a birthday present. You need voice service. 2. Toll-free service A toll-free number is a special-number; that enables calls to come in from anywhere without incurring a charge to the caller. The called party pays a toll tariff for the Call. How much the called party pays for a call depends on the arrangements made with the long-distance carrier.  If you look at all...