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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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Cloud in India Rural Education

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Many a times we do things beyond a formal classroom without realizing that we are learning in the process. For example, an individual surfs and accesses material on the Internet in the form of audio, video, wiki and then goes ahead to even create and store information. Understanding the immense power of peer-to-peer learning, Classle, a Chennai-based startup has developed a cloud based education system for rural India. Classle gets lakhs of people together and enables them to connect to each other in thousands of communities available on open social network of Classle. People can connect with these communities to collaborate and share exchange resources in their chosen areas of interest. There are many features to collaborate in addition to make learning fun oriented. The cloud-based system enables students to access learning material free of cost, through their basic, low-cost mobile devices. The impact - more than 55 academic institutions have partnered with Classle-- almost all of them are engineering colleges predominantly in rural areas. Some of them are GLA University, Mathura; Madanapalle Institute of Technology and Madanapalleand Excel College of Engineering, Thiruchengodu.

Read more at: http://www.informationweek.in/informationweek/case-study/287388/indian-startup-cloud-transform-education-rural-india?utm_source=referrence_article

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