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Naidu Rongali - Senior Big Data and ML Engineer

Published in

Towards Data Engineering

How Data Engineering Powers AI-Based Analytics: Feeding the Intelligence Behind the Magic

Introduction

6d ago

6d ago

Data Lake, Lakehouse, or DataWarehouse? A Grounded Perspective from the Field

6d ago

Data Lake, Lakehouse, or DataWarehouse? A Grounded Perspective from the Field

6d ago

Quick Summary of Databricks’ eBook on Data and AI Governance

After documenting my own understanding of Data Governance, I wanted to explore how Databricks approaches the subject in their eBook “Data…

6d ago

6d ago

Quick notes on Data Governance

As a Senior Engineer in the team that owns the organization’s Data Lakehouse, Data Warehouse, and Reporting infrastructure, one of key…

6d ago

6d ago

Types of Patterns in General Data Analysis

Introduction: Why Patterns Matter in Data Analysis

May 17

May 17

Patterns, Trends, Seasonality, Cycles, and Noise: Key Concepts in Time Series Data Analysis

What is Time Series Data?

May 17

May 17

The Many Faces of the Word ‘Online’ in Technology

Ever noticed how the word “online” pops up all over technology, but its meaning shifts depending on where you see it? Sometimes it’s about…

May 17

May 17

Published in

Towards Data Engineering

Exploring AWS S3 Tables: Federated Catalogs, Lake Formation Integration, and Access Challenges

Apr 22

Exploring AWS S3 Tables: Federated Catalogs, Lake Formation Integration, and Access Challenges

Apr 22

Choosing the Right AWS Database Service

Whether you’re just starting your cloud journey, modernizing legacy systems, building a cloud-based data warehouse, or developing…

Apr 19

Apr 19

Published in

Towards Data Engineering

Forget About Indexes for SQL Optimization and Concentrate on These Instead

Goal of SQL Optimization

Apr 12

Apr 12

Naidu Rongali - Senior Big Data and ML Engineer

Naidu Rongali - Senior Big Data and ML Engineer

Senior Big Data and ML Engineer at Amazon. Scalable Data Engineering, Analytics, ML & Data Governance

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