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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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SMAC-Persistent Systems

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The global leader in software product and technology services, today announced it has entered into a definitive agreement to acquire privately-held  CloudSquads , an innovative consultancy that has created social communities for over  70 global companies . CloudSquads deploys, integrates and runs social communities on all leading  social customer platforms .  Terms of the agreement were not disclosed and are subject to certain closing conditions which are expected to be completed in the coming financial quarter. According to  Forrester  Research Senior Analyst, Kim Celestre in her July 9, 2013 blog post entitled Just Published: The Forrester WAVE: Social Depth Platforms, Q3 2013, “Social media has transformed the way that buyers discover, explore, and engage with a brand. As a result, many marketers have invested in establishing a presence on popular social networks like Facebook and Twitter yet are struggling with how to convert interactions on these s...
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