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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 PLSQL Top Reserved Keywords

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To become perfect in PL/SQL is an art. Knowing of top reserved words helps you to be a master in SQL.

Before you start knowing reserved words, wait one moment. The reserved words are similar to the words that you use in normal SQL.

SQL, PLSQL Reserved Words


PLSQL reserved words
PL/SQL Reserved Words


A Video on Basic PL/SQL

Basic PL/SQL Video Lesson for all professionals.

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