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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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Information Architect Key Responsibilities

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Gartner defines "enterprise information architecture" as that part of the enterprise architecture process. It is a set of requirements , principles and models — the current state, future state, and guidance necessary to flexibly share and exchange information assets to achieve effective enterprise change.  Enterprise information Architect also called EIA. Information Architecture  The transition from information that is isolated within applications to a flexible, comprehensive enterprise information architecture will require changes in technology, process, organizational structure and orientation.  In particular, EA practitioners comfortable with technical architecture must now devote time to understanding this emerging discipline.  Gartner projects that, EA teams will be forced by the business to spend as much time on information architecture as they currently spend on technical architecture.  Changes will also impact a range of disciplines across the organiza...
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