Karunakar Kotha
Principal Database Solution Architect
Dallas, Texas, United States
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I am Karunakar Kotha, an experienced IT professional with over 18+ years of industry experience. My specialization lies in database technologies, where I have honed my skills in areas such as database architecture, database modernization, database design, and optimization. Throughout my career, I have had the privilege of working with leading cloud service providers, including Microsoft Azure and AWS, gaining valuable insights into their database offerings and best practices.
My expertise extends beyond theoretical knowledge, as I have successfully implemented database solutions for diverse clients, leveraging my deep understanding of database architecture. I have been involved in database modernization initiatives, helping organizations migrate their systems to cloud-based platforms, unlocking the benefits of scalability, performance, and cost-efficiency.
With a keen eye for detail and a passion for optimizing database performance, I have consistently delivered solutions that meet and exceed client expectations. My experience has taught me to navigate complex challenges, make informed decisions, and design efficient database structures that align with business objectives.
Having contributed to the success of various projects, I possess a comprehensive understanding of the intricacies involved in database design and have a proven track record of delivering robust and scalable solutions. My commitment to staying abreast of emerging technologies and industry trends ensures that I can provide innovative solutions and recommendations to clients.
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Navigating the Future: SQL Server to Fabric Real-Time Intelligence
In today's data ecosystem, professionals face a critical decision: stick with familiar SQL Server technology or venture into Microsoft Fabric's Real-Time Intelligence (RTI) databases. This choice can significantly impact performance, scalability, and overall business intelligence capabilities. As a former SQL DBA and Microsoft Escalation Engineer who's worked extensively with both Azure Synapse and Fabric RTI, I'll guide you through this decision-making process with clarity and practical insights. We'll explore when SQL Server remains the optimal choice and when RTI databases offer compelling advantages. You'll discover the architecture differences that matter, performance considerations, and cost implications of each approach. I'll demonstrate how your existing SQL skills transfer to Kusto Query Language (KQL), showing familiar patterns and highlighting key differences. Through real-world scenarios and demonstrations, we'll examine migration paths, hybrid approaches, and integration strategies between these technologies. You'll see firsthand how these systems handle time-series data, complex analytics, and large-scale workloads differently. By the end of this session, you'll have a clear framework for database selection decisions and practical knowledge to implement or migrate to Fabric RTI when appropriate for your organization's needs.
AI-Augmented Query Optimization: SQL Server 2025 Meets Fabric Self-Healing Data Platform
Session Description
SQL Server 2025 introduces advanced query optimization and observability features, while Microsoft Fabric delivers unified analytics and AI-driven insights. But how do we combine these innovations to create a self-healing data platform that minimizes downtime and maximizes performance?
This session is designed for DBAs, data engineers, and architects managing mission-critical workloads in hybrid or cloud environments. We’ll address a common pain point: manual troubleshooting of query regressions and performance bottlenecks. Instead, learn how to leverage SQL telemetry, Fabric ML notebooks, and AI-powered anomaly detection to automate root-cause analysis and remediation.
What you’ll gain:
A clear understanding of SQL Server 2025’s new optimization capabilities.
Practical steps to integrate Microsoft Fabric observability and AI for proactive performance management.
A blueprint for building a Self-Healing SQL Fabric Dashboard with real-world demos and POC architecture.
Walk away with actionable strategies to future-proof your data platform using AI-driven automation, Fabric analytics, and SQL Server 2025 innovations.
Moving to Azure SQL from VM-based SQL
This will be an insightful session on transitioning from on-premises and VM-based SQL Server to Azure SQL. Discover the myriad benefits of moving to Azure SQL, including cost savings, enhanced features, ease of use, quick scaling, and improved reliability. I’ll explore various migration options to Azure SQL and discuss all the different versions available, such as Managed Instance, Hyperscale, Elastic Pool, and Serverless. Whether you’re interested in agility, security, or total cost of ownership, this session will provide you with the knowledge and tools to make an informed decision. Don’t miss out on learning how to transform your SQL Server infrastructure and unlock new opportunities with Azure SQL.
Heterogenous Migration Techniques
Learn methods and techniques available for heterogenous migrations. This session contains practical 5 methods to migrate data from SQL Server to PostgreSQL
Learn methods and techniques available for heterogenous migrations. This session contains practical 5 methods to migrate data from SQL Server to PostgreSQL
Cloud Data Driven User Group - 2026 Virtual Sessions User group Sessionize Event Upcoming
passdatacommunitysummity
https://passdatacommunitysummit.com/speakers/KarunakarKotha/
Navigating the Future: SQL Server to Fabric Real-Time Intelligence
In today's data ecosystem, professionals face a critical decision: stick with familiar SQL Server technology or venture into Microsoft Fabric's Real-Time Intelligence (RTI) databases. This choice can significantly impact performance, scalability, and overall business intelligence capabilities.
I'll guide you through this decision-making process with clarity and practical insights. We'll explore when SQL Server remains the optimal choice and when RTI databases offer compelling advantages. You'll discover the architecture differences that matter, performance considerations, and cost implications of each approach.
I'll demonstrate how your existing SQL skills transfer to Kusto Query Language (KQL), showing familiar patterns and highlighting key differences. Through real-world scenarios and demonstrations, we'll examine migration paths, hybrid approaches, and integration strategies between these technologies. You'll see firsthand how these systems handle time-series data, complex analytics, and large-scale workloads differently. By the end of this session, you'll have a clear framework for database selection decisions and practical knowledge to implement or migrate to Fabric RTI when appropriate for your organization's needs.
Future Data Driven Summit 2025 Sessionize Event
SQLSaturday - Minnesota 2024 Sessionize Event
Karunakar Kotha
Principal Database Solution Architect
Dallas, Texas, United States
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