Content from Aditi Prakash

About the Author

Aditi Prakash is an experienced B2B SaaS writer who has specialized in data engineering, data integration, ELT and ETL best practices for industry-leading companies since 2021.

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Data Engineering Resources

Article

Data Privacy and Compliance Guide for Data Engineers: GDPR, CCPA, and Emerging Regulations

Aditi Prakash

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Jul 12, 2023

Article

Augmented Data Management: How AI is Transforming Data Engineering

Aditi Prakash

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Dec 30, 2025

Article

Data Democratization: Key to Unlocking Business Potential

Aditi Prakash

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Aug 8, 2023

Article

Demystifying Predicate Pushdown: A Guide to Optimized Database Queries

Aditi Prakash

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Aug 9, 2023

Article

Data Engineering vs. Data Science: Crafting Data Infrastructure And Drawing Insights

Aditi Prakash

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Aug 31, 2023

Article

Structured vs. Unstructured Data: A Comprehensive Guide

Aditi Prakash

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Jul 21, 2025

Article

What is Data Consolidation?: The Ultimate guide

Aditi Prakash

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Sep 13, 2023

Article

What Is a Data Lakehouse? Bridging the Gap Between Data Lakes and Warehouses

Aditi Prakash

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Sep 15, 2023

Agentic Data Resources

Article

Data Privacy and Compliance Guide for Data Engineers: GDPR, CCPA, and Emerging Regulations

Aditi Prakash

•

July 12, 2023

•

15 min read

Article

Augmented Data Management: How AI is Transforming Data Engineering

Aditi Prakash

•

December 30, 2025

•

12 min read

Article

Data Democratization: Key to Unlocking Business Potential

Aditi Prakash

•

August 8, 2023

•

10 min read

Article

Demystifying Predicate Pushdown: A Guide to Optimized Database Queries

Aditi Prakash

•

August 9, 2023

•

12 min read

Article

Data Engineering vs. Data Science: Crafting Data Infrastructure And Drawing Insights

Aditi Prakash

•

August 31, 2023

•

10 min read

Article

Structured vs. Unstructured Data: A Comprehensive Guide

Aditi Prakash

•

July 21, 2025

•

10 min read

Article

What is Data Consolidation?: The Ultimate guide

Aditi Prakash

•

September 13, 2023

•

15 min read

Article

What Is a Data Lakehouse? Bridging the Gap Between Data Lakes and Warehouses

Aditi Prakash

•

September 15, 2023

•

10 min read

Article

What Is AI Agent Security & What Does It Entail?

Dec 23, 2025

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6 min read

Article

Large Context Windows in LLMs: Uses and Trade-Offs

Dec 23, 2025

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6 min read

Article

Context Window Limits Explained

Dec 23, 2025

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5 min read

Article

What is Agentic AI Testing?

Dec 23, 2025

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7 in read

Article

What Is Agentic RAG?

Dec 23, 2025

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8 min read

Article

8 Ways to Prevent LLM Hallucinations

Dec 19, 2025

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10 min read

Article

What Are Vector Embeddings?

Dec 19, 2025

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7 min read

Article

What Are MCP Servers?

Dec 19, 2025

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8 min read

Article

What is Model Context Protocol (MCP): Definition, Uses & Benefits

Dec 19, 2025

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8 min read

Article

How to Build an MCP Server: Step-by-Step Guide

Dec 19, 2025

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14 min read

Article

What Does AI Data Infrastructure Require?

Dec 15, 2025

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8 min read

Article

Building a RAG Data Pipeline: Step-by-Step Guide

Dec 15, 2025

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8 min read

Article

AI Agents Explained: Types, Use Cases & Risks

Dec 15, 2025

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9 min read

Article

A Guide to Building AI Agents

Dec 15, 2025

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9 min read

Article

AI Agent Access Control: 10 Strategies

Dec 15, 2025

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9 min read

Article

What Is AI Agent Orchestration?

Dec 8, 2025

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7 min read

Article

What Is an Agentic Data Platform?

Dec 8, 2025

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7 min read

Article

AI Agent Examples: 16 Real-World Use Cases

Dec 8, 2025

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9 min read

Article

10 Examples of Vertical AI Agents

Dec 3, 2025

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9 min read

Article

What Is Context Engineering?

Dec 3, 2025

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8 min read