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Ananth Packkildurai

With extensive expertise in building scalable data platforms and observability infrastructure, Ananth specializes in integrating traditional data engineering concepts with modern observability practices, ensuring robust and efficient systems that support data-driven organizations.

Principal Engineer at Mural
Talks about

Ananth discusses observability, data infrastructure, and scalable system design with a focus on the data engineering principles applied to observability platforms, monitoring, and performance optimization that offer valuable perspectives on building resilient and maintainable data systems.

data engineering
data leadership
data platform
data warehouses
data management
data strategy
Badges
Data Advocate
Data Engineering Expert
Analytics Expert

Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Member of the Jury panel for MDS Rocketship Awards

Being a member of this jury signifies Ananth’s expertise in the data engineering landscape and their immense contributions to helping different organisations streamline their data-driven journeys.

Editor of the ‘Data Engineering Weekly’

DEW newsletter is a house of weekly articles that elaborate on trending concepts and scenarios to help DE professionals stay updated on relevant topics and innovations in the field.

Notable Contributions

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Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Engineering
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Blog
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5 min

The Dawn of the AI-Native Data Stack - Part 1

The article discusses the evolution of data engineering, from monolithic systems to cloud-native solutions, and the rise of Large Language Models (LLMs) automating tasks.
Data Engineering
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Blog
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5 min

Engineering Privacy: A Technical Overview of Privacy in Data Systems

This article reflects how privacy in data isn’t just compliance; it’s a competitive edge; from least-privilege access to early anonymization, building trust while meeting regulations is a key.
Data Engineering
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Blog
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07 Minutes

Evaluating Change Data Capture Tools: A Comprehensive Guide

Ananth Packkildurai provides a comprehensive guide to evaluating Change Data Capture (CDC) tools, which are crucial for real-time data integration and analytics in modern data architectures. He emphasizes CDC's relevance in unified data environments, its role in modernizing legacy systems, and its importance for real-time business demands.
Data Management
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Blog
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6 Minutes

A Brief History of Modern Data Stack

In this blog, Ananth Packkildurai explores the modern data stack's origins, rise, and fall. Initially emerging from various innovations and industry shifts, tools like Apache Yarn and S3 paved the way for scalable data processing.
Data Engineering
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Video
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37 min

Take on Gartner Data & Analytics Summit 2024

In this session, Ananth navigates through the perspectives of the collaborator on the Hype Cycle and customer interactions at the Gartner Summit, shedding light on the current data-driven business landscape.
Data Engineering
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Podcast
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23 min

How to Implement Write-Audit-Publish (WAP), Vector Database

This podcast, led by Ananth, sheds light on different patterns and implementation strategies of Write-Audit-Publish (WAP), powerful vector databases, their use cases and ability to improve semantic search experiences and different strategies for data warehousing for improved data quality.
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Data Feast Weekly

Get weekly insights on modern data delivered to your inbox, straight from our hand-picked curations!