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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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Dynamics of "Code Halos" in the age Digital world

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[IoT -Code Halos Career]
[IoT -Code Halos Career]
“Code Halos – the information that surrounds people, organizations, and devices – are today's digital fuel. Every click, swipe, and view, every interaction and transaction generates a halo of code – a "virtual self" – that's robust, powerful, and rich with meaning and insight. You can go with an excellent book on Code halos.

Code Halos are a given in our personal lives; however, they are increasingly vital to every organization's future business success.” Research conducted by Cognizant's Center for the Future of Work reveals that organizations that create, share, and distill meaning from Code Halos are dominating their industries.
The dynamics of Code Halos is realized in our ever-increasing daily interactions across the web like social media, e-commerce, file sharing, smartphone apps, and other computing devices.

Moreover there are multiple layers of interdependencies between each of these interactions that create a unique virtual identity termed by Cognizant as Code Halos. Accordingly, it is a halo of digital information connecting people, organizations, processes, and devices.

Extending the Code Halos idea to other meaningful data at the enterprise level unravels some interesting examples: Insurance companies Allstate and Progressive and others are using very specific driver data, collected in many cases through telematics devices, to create new kinds of commercial models for personal and auto insurance.

Read more: Internet of things-part-6

Disney has created its MagicBand system where it has encoded user credit card information and what kind of things consumers are interested in; it helps users get a very personalized theme-park guest experience based on data and information, and it’s all encoded in a wristband. In manufacturing, GE creates code halos around their jet engine with hundreds of sensors built into the engine, generating data useful for GE and airlines. It’s lowering costs, improving safety, and efficiency, and there are many business benefits.

Read more: Code Halos -How digital lives of people changing the world.

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