Session 1: Introduction to “Azure Data Explorer” and Use Case Scenarios
Speaker: Nitin Sarwahi (Software Engineer, Microsoft)
Session 2: Classic Machine Learning Algorithms (Random Forest, Decision Trees)
Speaker: Deepak Pradeep Kumar (Sr. Software Engineer, Microsoft)
Session 3: SQL Server In-Memory OLTP
Speaker: Vijay Reddy (Regional Mentor, DPG)
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Session 1: Streamline the Data Lifecycle for ML Experiments using Azure ML Service
Speaker: Ashish Sahu (Microsoft)
Session 2: Latest Features in SSIS and ADFv2
Speaker: Soujanya Nayak (Microsoft)
Session 3: Understanding SQL Server Indexes – The Right Way
Speaker: Satya Ramesh (Sr. Consultant, SQLMaestros)
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Session 1: T-SQL Unit Testing
Speaker: Vijay Mishra (Regional Mentor, DPG)
Session 2: Column Store Indexes in SQL Server
Speaker: Vijay Reddy (Regional Mentor, DPG)
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Session 1: Accelerated Database Recovery and Indirect Checkpoint Scalability
Speaker: Sanjeev Kumar (Microsoft) & Mohammed Hanzala (Microsoft)
Session 2: DELETE Vs TRUNCATE – Myths & Misconceptions
Speaker: Satya Ramesh (SQLMaestros)
Session 3: Machine Learning Features in SQL Server 2019
Speaker: Srinivasa Reddy (Happiest Minds)
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Session 1: Azure Cosmos DB in Enterprise Architectures
Speaker: Kranthi Kumar (Microsoft)
Session 2: Machine Learning (Mulitple linear regression and Decision Trees)
Speaker: Deepak Pradeep Kumar (Microsoft)
Session 3: Machine Learning (Dynamic Classifier Selection)
Speaker: Ashutosh Upadhyay (Microsoft)
Session 4: SQL Server Backup and Restore
Speaker: Satya Ramesh (SQLMaestros)
Session 5: Building the Data Lake using Azure Databricks
Speaker: Himanshu Gohel (Microsoft)
Session 6: Real World Query Tuning in SQL Server (HD Recorded Session)
Speaker: Amit Bansal (SQLMaestros)
Session 7: SQL Server Data Partitioning
Speaker: Vijay Reddy (Regional Mentor, DPG)

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Session 1: SQL Server 2019 – DB Engine New Features
Speaker: Avanish Panchal (Technosoft Global Solutions)
Session 2: Understanding Dynamic SQL – The Right Way
Speaker: Satya Ramesh (SQLMaestros)
Session 3: SQL Server Memory Internals
Speaker: Amit Bansal (SQLMaestros)
Session 4: Basics of Data Wareshouse
Speaker: Mukund Bhaskhar (Microsoft)

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Session 1: Data Application Development with Power BI
Speaker: Vijay Krishnan (Microsoft Data & BI expert)
Session 2: SQL Server Indexes
Speaker: Satya Ramesh (SQLMaestros)
Session 3: Understanding Dynamic SQL – The Right Way
Speaker: Satya Ramesh (SQLMaestros)
Session 4: Real World Query Tuning in SQL Server (HD Recorded Session)
Speaker: Amit Bansal (SQLMaestros)
Session 5: Introduction to Feature Engineering – Machine Learning
Speaker: Sandip Pani (NextGen Healthcare)

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Session 1: Introduction to Polybase feature in SQL server
Speaker: Sravani Saluru (Microsoft) & Swetha S (Microsoft)
Session 2: Bringing AI Everywhere
Speaker: Sudhir Rawat (Microsoft)
Session 3: SQL Server Security – TDE – Always Encrypted. What is the purpose?
Speaker: Hemanth Tarra (Microsoft)
Session 4: SQL Server Backup & Restore
Speaker: Satya Ramesh (SQLMaestros)
Session 5: Real World Query Tuning in SQL Server (HD Recorded Session)
Speaker: Amit Bansal (SQLMaestros)
Session 6: Scala Data Science
Speaker: Srinivas Reddy (Happiest Minds)

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Session 1: BoT Implementation in BI / Data Warehousing Space
Speaker: Sanjli Agarwal (Microsoft) & Prakhar Agarwal (Microsoft)
Session 2: Real time analytics using Structured streaming
Speaker: Vidhi Raheja (Microsoft) & Vivek Gupta (Microsoft)
Session 3: Data Science using R services in SQL Server 2016
Speaker: Sudhansu Taparia (Microsoft)
Session 4: Spark Essentials for SQL DBA
Speaker: Hitesh Chouhan (Microsoft) & Chinmay Das (Microsoft)
Session 5: Machine Learning Basics using R & Python
Speaker: Deepak Pradeep Kumar (Microsoft)
Session 6: SQL Data Compression & Column Store Indexes
Speaker: Vijay Reddy (Regional Mentor, DPG)
Session 7: Deep Dive Into Databricks Delta
Speaker:Kranthi Kumar Medam (Microsoft)
Session 8: Temporary Tables Vs Table Variables – SQL Server
Speaker:Satya Ramesh (Microsoft)

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Session 1: Machine Learning & AI on SQL Server & Azure Databases
Speaker: Don Rohan Castelino (Microsoft) & Shreya Aithal (Microsoft)
Session 2: SQL Server Query Store
Speaker: Mayank Khandelwal (Microsoft) & Naveen Kumar (Microsoft)
Session 3: Azure Cosmos DB
Speaker: Sudhir Rawat (Microsoft)
Session 4: Data Modeling (SSAS Tabular Model)
Speaker: Umakant Khandekar (Microsoft) & Amiya Patra (Microsoft)
Session 5: Cluster Less and Domain Less AG
Speaker: Amal Sharma (Microsoft) & Sanjeev Kumar (Microsoft)
Session 6: Copy and Data Transformation in ADF
Speaker: Ashish Shukla (Microsoft)
Session 7: Azure Data Studio
Speaker: Shaurabh Thapa (Microsoft) & Supraja Murale (Microsoft)
Session 8: Resource Optimization in IT Operational Analytics
Speaker:Srinivas Reddy (Happiest Minds)
Session 9: Temporary Tables Vs Table Variables – SQL Server
Speaker:Satya Ramesh (SQLMaestros)

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Session 1: Machine Learning with Azure Databricks Overview – Getting Started
Speaker: Suvarna Raju Madhey (Microsoft) & Prakash Krishnaswamy (Microsoft)
Session 2: Want to Upgrade To a Career in AI? Here’s What You Need To Know.
Speaker: Lalit Sachan (Co-Founder, Edvancer)
Session 3: In depth Machine Learning with Azure Data bricks
Speaker: Pramod Singla (Microsoft) & Sakshi Chourasia (Microsoft)
Session 4: Execution Plan Analysis & Query Tuning
Speaker: Amit Bansal (MCM, MVP, SQLMaestros)
Session 5: SQL Server Indexes
Speaker: Satya Ramesh (Technical Consultant, SQLMaestros)
Session 6: Advanced Analytics with Azure Analysis Services
Speaker: Siva Reddy (Microsoft)
Session 7: DB Maintenance
Speaker: Vijay Reddy (Regional Mentor, DPG)
Session 8: SQL Server Data Partitioning
Speaker:Vijay Reddy (Regional Mentor, DPG)

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Session 1: Azure Cognitive Services
Speaker: Don Rohan Castelino (Premier Field Engineer, Microsoft) & Pooja Kamath (Premier Field Engineer (Data & AI), Microsoft)
Session 2: Rendezvous with Azure Machine Learning Service
Speaker: Sandeep Alur (Director – Partner Engagements, Microsoft India)
Session 3: Develop and Deploy AML model using Azure Databricks and Kubernetes
Speaker: Sudhir Rawat (Data professional, Microsoft India)
Session 4: Building the Right Data Science Capabilities For The Win
Speaker: Dr. Ramesh Babu (Director of Academy of Data Science, Manipal Global)
Session 5: Introduction to Feature Engineering – Machine Learning
Speaker: Sandip Pani (Sr. Data Architect, India)
Session 6: ETL on Linux with SSIS
Speaker: Krishnakumar Rukmangathan (Escalation Services Team, Microsoft) & Madhuban Singh Joshal (Technical Advisor, Microsoft)
Session 7: Paginated reports in Power BI
Speaker: Kane Conway (Support Escalation Engineer, Microsoft)
Session 8: Bringing data to data warehouse
Speaker: Sanjay Raut (Technical Solution Specialist, Microsoft)
Session 9: Setting up analytics on data
Speaker: Sanjay Raut (Technical Solution Specialist, Microsoft)
Session 10: Azure Analysis Services
Speaker: Jaideep Roy (Technical Advisor , Microsoft) & Vikas Kumar (Support Engineer, Microsoft)
Session 11: Troubleshooting Transaction log file growth issues
Speaker: Sravani Saluru (Support Escalation Engineer, Microsoft) & Swetha (Support Escalation Engineer, Microsoft)
Session 12: Performance of Availability Groups / Troubleshooting Availability Groups Exceeding RTO-RPO
Speaker: Hemanth Tarra (Support Engineer, Microsoft)
Session 13: Azure ARM & Azure PowerShell for SQL Server Automation
Speaker: Avanish Panchal (Regional Mentor, DPG)
Session 14: Execution Plan Analysis & Query Tuning
Speaker: Amit Bansal (MCM, MVP, SQLMaestros)
Session 15: SQL Server Aggregations
Speaker:Satya Ramesh (Technical Consultant, SQLMaestros)

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Speaker: Avanish Panchal (Technical Architect, Technosoft Corp)
Event Resources |Event Agenda
Speaker: Avanish Panchal (Technical Architect, Technosoft Corp)
Event Resources |Event Agenda

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