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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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13 Cloud Computing Terminology Quick Read

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Cloud computing is a big ocean. Due to increased services, a developer must know the glossary ( keywords) involved.


1) AWS

Amazon Web services

2) Content delivery network (CDN)

It is a distributed system. Servers are located in remote locations. Customers feel that they are accessing the servers.

3) Cloud

A global network to access the resources.

4) Cloud portability

The feature to move data from one Cloud provider to another provider.

5) Cloudsourcing

Moving traditional IT operations to Cloud computing.

6) Cloud storage

It is a service providing to users to store data using the internet or other private networks.

7) Cloudware

It is Software that helps to run user applications in cloud computing.



13 Cloud Computing Terminology Quick Read
Terminology


8) Cluster

A group of small computers connected together to form a Single big computer. High availability and load balancing are the main benefits.

9) Consumer cloud

The cloud provider offers services to individual users. You can call it a consumer cloud.

10) Consumption-based pricing model

Cloud computing users must pay some fees to the cloud provides. This fee is based on consumption but not on time-based.

11) Content Management Interoperability Services (CMIS)

An open standard to control documents using web protocols

12) Customer self-service

This is a feature that users can manage cloud computing services using Web Services or APIs.

13) Disruptive technology

Technology with innovative methods and offers benefits to users.

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