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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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SQL: 8 Frequently Used DATE Functions

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SQL DATE function for all Developers. DATE Function is powerful in SQL. In SQL projects, people use this Function variety of ways. All projects depends in DATE, and without it there is no way of existing of project.  The Quick tour helps you use this function effectively.  You can learn Oracle SQL step by step for all Developers. Below is the list of SQL DATE functions SYSDATE - It returns current local DATE and Time CURRENT_DATE - Return local DATE and TIME and adjusted to current session Time Zone. ROUND (DATE) - Rounds to nearest DAY TRUNC (DATE) - Truncates Time MONTHS_BETWEEN(date1,date2) - Returns number of months between date1 and date2' LAST_DAY(DATE)- Returns last of the month ADD_MONTHS(date,integer_months) - Adds specified number of months to specified date. NEXT_DAY(date, day_of_week) - Returns to next day of the week that comes after the specified DATE Also Read   The Best SQL Book for all Developers.
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