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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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8 Popular Encryption Methods Real Usage

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The process of replacing original data with special-characters is called an Encryption. A highly secured server handles the encryption and Decryption. You need a private key to decrypt the data. Else, you cannot decrypt the data. Private keys are two types. The sender uses one private key and the receiver uses one other private key. I have given in this post about 8 encryption methods. Flow Diagram of Encryption image courtesy by digit.in   Different Encryption Methods Classic Cipher Random Key Generation RSA Token Hash Functions Mac value - Message Authentication code Key Hash TLS Protocol Authenticated Cipher  1. Classic Cipher. The best example is this kind of algorithm was used in world war -II communication machines. 2. Random Key Generations. One kind of security. They use an algorithm that sends random numbers. People use that number as a password.  3. RSA Token. Every 30 seconds a token is generated. Mostly people use fo...
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