Key Data Science Terms by Habib Shaikh
Referred Link - https://www.linkedin.com/posts/habib-shaikh-aikadoctor_key-data-science-terms-in-the-realm-of-activity-7287408504250769410-7Kd-
Let’s illuminate a few key terms that will guide your journey.
🚀 Data Pipeline
- The process that moves data from various sources to a target destination.
- It can automate and streamline data collection, processing, and storage.
- Essential for maintaining data flow and accessibility in real-time.
🏗️ Data Warehouse
- A centralized repository that stores processed data for analysis and reporting.
- It organizes and optimizes data for business intelligence.
- Crucial for historical data analysis and making informed strategic decisions.
📊 Data Lake
- Think of it as a vast ocean where all raw, unprocessed data flows.
- It holds structured and unstructured data, making it versatile for analytics.
- Great for exploratory analysis and machine learning models seeking real insights.
🔍 Data Quality
- The foundation of reliable analysis.
- Poor quality data leads to poor decision-making.
- Regularly validate, cleanse, and enrich your data to ensure it drives value.
🏢 Data Mart
- A specialized subset of a data warehouse.
- Designed for a specific business line or department, like finance or marketing.
- This focus enhances performance and speeds up query response times.
Tags:
#DataScience, #DataEngineering
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