Business Intelligence, Data Consolidation, Data Lake and Structured Data

Data Science Course Syllabus and Subjects in 2024

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Transforming raw data into actionable insights for informed business decisions. This subject equips you with skills in handling various BI (Business Intelligence) methods and tools. Importance: Efficient organization and retrieval of data.

Data Science

Data Science Machine Learning Datasets Algorithm

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The transformed data is then placed into the destination data warehouse or data lake.

Data Pipeline

Data Pipeline Architecture Kafka AWS

Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation

AltexSoft

SEPTEMBER 10, 2021

So, why does anyone need to integrate data in the first place? Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications. Data consolidation.

Data Integration

Data Integration Data Consolidation Data Warehouse BI

Data Engineering Digest

Data Science Course Syllabus and Subjects in 2024

Data Pipeline- Definition, Architecture, Examples, and Use Cases

Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation

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