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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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Best Skills You Need to Become an IoT Developer

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The Internet of things is a new subject. In this area lot of development is going on. Recently, AWS ( Amazon web services ) developed a platform for the Internet of things. I want to share with you the best skills you need to become an IoT developer. Skills You Need to Become an IoT developer This is a big Question for IT freshers or experienced IT professionals what technologies they need to learn to start a career in this line.  As a general rule, I have found the following are general requirements for the Internet of things ( See Internet of things jobs here ). Java + multiple programming languages (Objective-C, C++), and interest in technologies such as Ruby, Scala, Clojure, Groovy, etc. Experience in javascript libraries in any combination of the following areas: jQuery, AngularJS, Backbone.js, Ember.js, Node.js, GWT Development experience in open source projects, especially large scale projects a plus. Experience developing at-home projects used by a medium to large siz...
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