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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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Internet of Things Basics (Part-7)

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The connecting devices and getting raw data from multiples sources, and sending this data to analysis is a major concept in IoT. Devices can be connected through Protocols.

What is protocol...

I want to share some information on advanced IP based Protocols. Read my previous post on IOT.

The role of IPv6- It is advanced in the Range of internet protocols. The main function is it supports Mobility.

This is not easily achievable with IPv4 for a number of reasons; however, MIPv6 described in RFC 3775, "Mobility Support in IPv6" (June 2004), among others, facilitates this task.

RFC 3775 is known as the "MIPv6 base specification." RFCs are specifications and related materials published by the Internet Engineering Task Force (IETF). IPv6 mobility, specifically MIPv6, relies on IPv6 capabilities.

RFC 3775 notes that without specific support for mobility in IPv6, packets destined to an MN would not be able to reach it while the MN is away from its home network.

In order to continue communication in spite of its movement, an MN could change its IP address each time it moves to a new link, but the MN would then not be able to maintain transport and higher-layer connections when it changes location.
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Hadoop QUIZ-1 Answers:
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1.D
2.C
3.D
4.D
5.C
6.D
7.A
8.B
9.B
10.C
11.C
12.B
13.C
14.C

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