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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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New IT Job Roles So Popular to Read

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The popular job roles you can read today. These are new in the industry. Knowing is not harmful. You will get ideas on achieving these roles.

E-Commerce Business Analyst

It involves supporting the development of e-commerce solutions. This person should possess strong analytical, organizational and communication skills and will have demonstrated the ability to collaborate within a team environment.

Virtualization Engineer/Architect

It refers to the agile provisioning of converged storage, computes and network resources. It requires knowledge of how to take a cluster of physical servers and make them virtual machines, it also extends to network and storage virtualization

CRM Expert

Customer Relationship Management (CRM) experts need to work on complex CRM applications and their role includes programming, project management, project development, systems configuration, and development. Read more

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How to Fix datetime Import Error in Python Quickly

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SQL Query: 3 Methods for Calculating Cumulative SUM

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Big Data: Top Cloud Computing Interview Questions (1 of 4)

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