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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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How Internet of things connecting devices by 2020

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Code Halos in IOT
Code Halos in IOT
According to a Cisco Internet Business Solutions Group (IBSG) study in 2011, the IoT was ‘born’ sometime between 2008 and 2009. Looking to the future, Cisco IBSG predicts there will be 25 billion devices connected to the Internet by 2015 and 50 billion by 2020.

So how big is the economic impact?

The Wikibon research ‘Worldwide Industrial Internet Analysis Projection, 2013’, estimates Industrial Internet technology spending at $514 billion and value delivered at $1.3 trillion by 2020. Recent IDC research cites “Explosive growth in cloud and number of Internet-connected devices is expected to propel the Internet of Things market globally to $3.04 trillion in 2020”.
Related: IOT-Internet of things basics-part:1

Thus, the potential of Code Halo opportunities led by IoT is gaining unprecedented traction and is expected to drive unparalleled growth across industries. While IoT lays the foundation for Code Halos; the technology industry would undergo a sea change in miniaturization of sensing and detection, embedded digital processing, SMAC, and communication. Each would have varying levels of complexity, maturity, market adaptability, and service impact based from one user or industry to another.

Code Halos through IoT combines technology, individual, and public interests to take us to the next giant leap in the Internet-led revolution that will change business models, technology focus, and customer experience affecting daily lives. Improving real-time or near real-time sensing and data processing, enabling intelligent task execution, and simplifying communication introduces the unique value proposition of supporting almost anything anytime, anywhere – the new digital computing paradigm.

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