Anandaganesh Balakrishnan

Principal Software Engineer at American Water

King Of Prussia, IN

Joined Oct 2023

About

Anandaganesh Balakrishnan is a data engineering and data analytics leader who has held senior leadership roles across the fintech, biotech, and utility domains. His expertise is architecting scalable, reliable, and performant Data Platforms for Advanced Data Analytics, Quantitative Research, and Machine Learning. His current research is on Large Language Models (LLMs), Gen AI, and Data catalogs.

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Reputation:	712
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Articles:	9
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Articles

Pivoting Database Systems Practices to AI: Create Efficient Development and Maintenance Practices With Generative AI

Explore how AI can revolutionize modern database development and maintenance through automation, real-time AI applications, and more.

July 30, 2024

· 7,474 Views · 4 Likes

Modern Python: Patterns, Features, and Strategies for Writing Efficient Code (Part 1)

The article elucidates pivotal patterns, features, and strategies in contemporary Python programming and offers insights into practical code development techniques.

March 20, 2024

· 7,324 Views · 3 Likes

Essential Techniques for Performance Tuning in Snowflake

This article outlines the optimization methods and capabilities within Snowflake to enhance performance and lower expenses.

March 11, 2024

· 11,630 Views · 2 Likes

Data Management in Distributed Systems: A Comprehensive Exploration of Open Table Formats

This article emphasizes the revolutionary effect of open table formats on data management practices in distributed computing landscapes.

March 7, 2024

· 4,659 Views · 4 Likes

Essential Relational Database Structures and SQL Tuning Techniques

Understanding the structures within a Relational Database Management System (RDBMS) is critical to optimizing performance and managing data effectively.

February 27, 2024

· 7,583 Views · 4 Likes

Apache Druid: A Hybrid Data Warehouse for Fast Analytics

Deep Dive into Druid’s architecture to understand sub-second query response and parallel batch and streaming ingestion.

January 25, 2024

· 5,108 Views · 3 Likes

Real-Time Data Architecture Frameworks

Take a glimpse into the latest real-time data architecture patterns designed to meet analytical business requirements.

January 4, 2024

· 6,815 Views · 3 Likes

Optimization of I/O Workloads by Profiling in Python

Optimizing the Python code to run faster.

December 24, 2023

· 7,365 Views · 4 Likes

Query Federation in Data Virtualization and Best Practices

In this article, I have explained what are the best practices that should be followed in Query Federation in Data Virtualization.

December 17, 2023

· 4,981 Views · 4 Likes

Trend Reports

Trend Report

Database Systems

In 2024, the focus around databases is on their ability to scale and perform in modern data architectures. It's not just centered on distributed, cloud-centric data environments anymore, but rather on databases built and managed in a way that allows them to be used optimally in advanced applications. This modernization of database architectures allows for developers and organizations to be more flexible with their data. With the advancements in automation and the proliferation of artificial intelligence, the way data capabilities and databases are built, managed, and scaled has evolved at an exponential rate.This Trend Report explores database adoption and advancements, including how to leverage time series databases for analytics, why developers should use PostgreSQL, modern, real-time streaming architectures, database automation techniques for DevOps, how to take an AI-focused pivot within database systems practices, and more. The goal of this Trend Report is to equip developers and IT professionals with tried-and-true practices alongside forward-looking industry insights to allow them to modernize and future-proof their database architectures.