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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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Cloud Computing Vs Virtualization Real Differences

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Servicing of computing resources you can say as Cloud computing. They charge for some amount each service used by an user. On the other hand, making multiple machines virtually by using same hardware is called virtualization. Sell all the real differences. Public Vs Private Vs Hybrid Cloud Public Cloud:  Available to the public is called the PUBLIC cloud.  Private Cloud : Available to the particular Business/Company is called PRIVATE Cloud.  Hybrid Cloud: Combination of Public and Private Clouds. Cloud Services Related: How Industries will Change due to Cloud Computin g Cloud Services Cloud services (remote data and computation) are exposed as simple and user-friendly web services. For example, Microsoft's ADO.NET (originally called Astoria) provides the tools to expose any data object from a collection, stored in a database or other form, as a URI to an encoded form using a standard such as JSON or ATOM representation Google's AppEngine provides...
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