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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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4 Top Applications That Running From Cloud

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Data Storage and Backup Box.com, Mozy, Joukuu are the applications offering data storage and backup services in cloud. Box.com offers drag and drop service for files. It just required to drop the files into Box and access from anywhere.  Mozy offers online backup service for files during a data loss. 1. Business Applications MailChimp - It offers an e-mail publishing platform. It is widely employed by the businesses to design and send their e-mail campaigns.  Chatter - Chatter app helps the employee to share important information about organization in real time. One can get the instant feed regarding any issue.  Google Apps - for Business Google offers creating text documents, spreadsheets, presentations, etc., on Google Docswhich allows the business users to share them in collaborating manner.  Quickbooks - It offers online accounting solutions for a business. It helps in monitoring cash flow, creating VAT returns and creating business reports. ...
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