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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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Top Paid Software Jobs

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There are eight Software jobs. Those are hot in demand at the same time they pay more package for you. it’s normal for your job hunt to take a few months these days. -From What color is your parachute 1. Business Intelligence Architect The primary responsibility of the business intelligence architect is data standards and procedures; warehousing; design and development of logical and physical data models and databases; distributed data management; information management functions. The business intelligence architect designs, develops and enforces standards and architecture for installing, configuring and using business intelligence applications for the purpose of directing and managing the organization. The role usually requires a bachelor's degree and at least some experience in a BI role. Salary:$81,200 2. ASIC Design Engineer The role produces application-specific integrated circuit (ASIC) designs and modifications by identifying design objectives and issues; rese...
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