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Showing posts with the label characteristics of cloud computing

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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...

5 Key Characteristics of Cloud Computing

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Cloud computing terminology and definition are often confusing for many software developers. The tutorial helps you to know the cloud characteristics quickly. Cloud computing is commonly characterized as providing three types of functionality that provide computing services from a remote location over a network. The National Institute of Standards and Technology (NIST), a U.S. government agency, has a definition of cloud computing that is generally considered the gold standard. Providing Service over a Network generally call it as Cloud Computing Rather than trying to create my own definition, I always defer to NIST's definition. The following information is drawn directly from it. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or serv...