Data Platform Virtual Summit 2020 – Debrief
Women In Technology Round Table
Diversity & Inclusion Round Table
Appendix I - DPS 2020 SPEAKERS
Appendix II - Training Classes
Appendix III - Breakout Sessions
Appendix V - Data + AI Gurukul
Data Platform Virtual Summit 2020 turned out to be one of the largest online learning events on Azure Data, Analytics & AI. The unique conference ran continuously for 3 Days & 3 Nights (non-stop 72 hours) covering the entire globe. 214 speakers delivered 226 sessions across five parallel tracks, including the newly introduced Industry Solution. Live Technical Round Tables and Data & AI Gurukul offered unique learning and networking opportunities with Microsoft Product Team Members and Industry SMEs. 1400+ delegates joined from 48 countries. Special thanks to Microsoft Azure, DELL Technologies, Red Hat, Red Gate, SQLMaestros, Datavail & dbWatch for supporting the event as Knowledge Partners & Exhibitors.
Keynote was delivered by Rohan Kumar (CVP, Microsoft Azure
Data).
Watch: https://youtu.be/z4FY85bvptM
Testimonials: https://dataplatformgeeks.com/dps2020/testimonials/
Official Links
DPS 2020 Website
https://www.DataPlatformGeeks.com/dps2020
Training Classes
https://dataplatformgeeks.com/dps2020/training-classes/
Breakout Sessions
https://dataplatformgeeks.com/dps2020/sessions-agenda-schedule/
Round Tables
https://dataplatformgeeks.com/dps2020/round-tables/
Data + AI Gurukul
https://dataplatformgeeks.com/dps2020/data-ai-gurukul/
Microsoft @ DPS
https://dataplatformgeeks.com/dps2020/microsoft-at-dps/
Keynote
https://dataplatformgeeks.com/dps2020/keynotes/
Watch: https://youtu.be/z4FY85bvptM
Global Execution
https://dataplatformgeeks.com/dps2020/truly-global/
DPS 2020 Speakers
https://dataplatformgeeks.com/dps2020/speakers/
DPS 2020 Advisory Council
https://dps10.com/advisory-council/
Special thanks to Dr. Greg Low, Steve Jones, Alex Whittles, Ben Weissman, Anupama Natarajan, Andy Leonard, Thomas Grohser, Anthony Nocentino & Andrew Brust.
Technology Coverage
https://dataplatformgeeks.com/dps2020/technology-coverage/
DPS History
https://dps10.com/our-glorious-history/
DPS Blogs News
Official Hashtag
#DPS2020 #DPS10
Theme: Empowering Data & AI Transformation
Dates: Summit - Dec 2, 3 & 4
Pre-Conference Training Class - Nov 30 & Dec 1
Post-Conference Training Class - Dec 7 & 8
Location Online
Attendance 1464
Speakers 214
Participating Nations 48
Total Sessions 226
Breakout Sessions 181
Round Tables 17
Gurukul 28
Tracks 7
Keynote Rohan Kumar, Corporate Vice President, Azure Data, Microsoft
Diamond Partner Microsoft Azure
Platinum Partner DELL Technologies
Gold Partner Red Hat
Silver Partner SQLMaestros
Bronze Partner Redgate
Exhibitors dbWatch |
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Special Thanks to our Sponsors & Exhibitors for helping us in making DPS 2020 affordable for the worldwide community.
Watch The Tour: https://youtu.be/uMTZzapDdwo
DPS 2020 Lobby
DPS 2020 Community Zone
DPS 2020 Helpdesk
DPS 2020 Data + AI Gurukul
Keynote & Breakout Auditorium - Hydra
Breakout Room - Sphinx
Breakout Room - Shiloh
Breakout Room - Yukon
Breakout Room – Katmai
EXPO Hall
Booth – Microsoft Azure
Booth – DELL Technologies
Booth – Red Hat
Booth - Redgate
Booth - Datavail
Booth - dbWatch
Booth - SQLMaestros
https://dataplatformgeeks.com/dps2020/testimonials/
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Architecture
Architecture track covered sessions related to architecting solutions & deployments around SQL Server, Azure SQL Family, Hybrid models, Linux, Containers, Kubernetes, HADR, Internals & a lot more.
Data Administration
Data Administration track covered sessions related to SQL Server, Azure SQL Family, SQL on Linux & Containers, Kubernetes, HADR, Performance Optimization, Query Tuning, Automation, Security & Auditing, Storage, Internals, SQL OS, Relational Engine, Data Modelling, Power Shell, Database Migration, Installation & Configuration & a lot more.
Database Development
Database Development track covered sessions related to application & database development against Azure SQL Family including SQL Server & Azure SQL, T-SQL Querying, Programming & Tuning, Python, JSON, XML, R, Ruby, C#, .NET EF, PHP & a lot more.
Business Intelligence & Advanced Analytics
Business Intelligence & Advanced Analytics track covered sessions related to Azure Synapse Analytics, Power Platform, Analysis Services, SSIS, SSRS, Azure Data Factory, Azure Stream Analytics, R services, Azure Databricks, HDInsight, Data Lake Storage, Power BI Embedded & more.
Database Science (AI/ML)
Database Science track covered sessions related to ML Algorithms, Azure Machine Learning, Artificial Intelligence, Cognitive Services, Bot Services, R, Python, Cognitive Search, Databricks, Custom Vision, Speech, Q&A Maker, Deep Learning, Neural Network, Text Analytics & more.
Industry Solution
Industry Solution track covered sessions related to Data/Analytics/AI solution-ing for different industries and verticals like BFSI, Manufacturing, Retail, E-Commerce, Healthcare, Utility, Energy, Hospitality & more.
Training Classes (Pre-Conference & Post-Conference)
Pre-Cons & Post-Cons were collectively called as Training Classes. These were 8 hours, focused, deep-dive, demo-based virtual classroom training.
Each Training Class was designed to offer intermediate & advanced-level
training on a specific topic/subject. These classes offer more knowledge,
skills and expertise beyond the summit content.
[To see list of Training Classes, refer Appendix II]
Keynote
Rohan Kumar (CVP, Azure Data, Microsoft) delivered a mesmerizing keynote showcasing the latest innovations from his team.
https://dataplatformgeeks.com/dps2020/keynotes/
Breakout Sessions with Q&A
200+ Breakout Sessions were delivered covering the entire stack of Azure Data, Analytics & AI. Each breakout session spanned 75 minutes (approx.) including Q&A.
[To see list of Breakout Sessions, refer Appendix III]
Round Tables
At DPS 2020, there were 20+ Round Tables (these were similar to Ask Me Anything (AMA) sessions and/or Panel Discussions). These were spread across different time zones to cover the global audience. Each of these engagement opportunities were focused on a specific technology/subject/topic – quite valuable.
[To see list of Round Tables, refer Appendix IV]
Data+AI Gurukul
Delegates got direct access to Microsoft engineers, architects & industry experts. They talked about their Azure Data projects and solutions and the real-life challenges that businesses were facing. People learnt innovative stuff about their favorite SQL Server, Power BI, Azure SQL, SQL on VM, Managed Instances, Azure Data Factory, Cosmos DB, Synapse Analytics and complete Azure Data stack.
[To see list of Gurukuls, refer Appendix V]
Community Zone
DPS 2020 Community Zone facilitated networking between the delegates. Moderated chats were setup in alignment with delegate roles and interests.
Special thanks to Rie Irish for leading the WIT Round Table. Panelists included Anna Hoffman, Pam Lahoud, Yana Berkovich, Vasiya Krishnan & Julie Koesmarno.
https://dataplatformgeeks.com/dps2020/dps-2020-women-in-technology-round-table/
Special thanks to Tracy Boggiano for leading the Diversity & Inclusion Round Table.
https://dataplatformgeeks.com/dps2020/dps-2020-diversity-and-inclusion-round-table/
Session Title |
Speaker |
Unique Attendance |
LIVE Keynote |
Rohan Kumar |
834 |
Keynote Replay |
Rohan Kumar |
576 |
Statistics, an Unreliable Friend |
Magnus Ahlkvist |
102 |
Building Streaming Pipeline with Azure Databricks Using Structured Streaming and Delta Lake |
Mohit Batra |
68 |
Anomaly Detection, Powered by Azure AI and Digital Twins |
Mihail Mateev |
58 |
Machine Learning in Power BI |
Alex Whittles |
105 |
Solving the dev database problem with GitHub, Docker and dbaclone |
Alex Yates & Sander Stad |
112 |
Talking to myself(?) - lessons learned from presenting online |
Alexander Arvidsson |
49 |
Data Stewardship in an AI-Driven Ecosystem: InterpretML, FairLearn, WhiteNoise |
Alicia Moniz |
52 |
Turbocharge your MySQL engine on Azure to make it fast, resilient and scalable |
Amol Bhatnagar |
64 |
Cognition for applications - Cognitive Services and Mixed Reality in action |
Andreas Erben |
59 |
AI and Analytics with Apache Spark and Azure Databricks |
Andrew Brust |
61 |
Containers - What’s Next? |
Anthony Nocentino |
101 |
SQL Server Encryption Unplugged |
Ben Miller |
89 |
Cloud-Based ETL with Azure Data Factory and Azure Functions |
Benjamin Kettner |
53 |
Kubernetes and OpenShift Infrastructure for SQL Server 2019 Big Data Clusters |
Chris ADKIN |
54 |
Quantum computing explained with demos! |
Damian Widera |
148 |
MS SQL New functions, syntaxes, tips & tricks |
Damir Matesic |
58 |
A Guide to Developing your Ideal Internet of Things (IoT) Architecture: Nine (9) Key Questions to ask yourself BEFORE developing your IoT solution |
David Goad |
46 |
SQL Server 2019: Building a Foundation with Persistent Memory |
David Pless & Brian Carrig |
74 |
Create secure API with .NET, Dapper and Azure SQL |
Davide Mauri |
72 |
Single Statement, Many Changes: How One Statement Can Modify Multiple Tables |
Deborah Melkin |
63 |
Text Mining with TSQL |
Dejan Sarka |
88 |
Building a Custom SQL Server on Containers Image for Deployment |
Edwin Sarmiento |
85 |
XMLA Read-Write Endpoint: The Cornerstone for Power BI as an Enterprise BI solution |
Ferenc Csonka |
41 |
How I reduced my Power BI Dataset by 60% |
Gilbert Quevauvilliers |
61 |
Really understanding character data types in SQL Server |
Greg Low |
136 |
Analyzing Execution Plans Like a Pro |
Guy Glantser |
104 |
KQL will be the next Query Language you will learn to manage Azure SQL Databases |
Hamish Watson |
65 |
What do Graph Tables bring to the table |
Hasan Savran |
85 |
Monitoring and Troubleshooting SQL Server environments using Free community tools |
Javier Villegas |
83 |
Optimizing Query Performance in Azure SQL Database |
John Morehouse |
67 |
SQL Server and Network Security |
John Martin |
105 |
Azure Data Studio Above and Beyond |
Warwick Rudd |
120 |
Matters of Concurrency |
Louis Davidson |
48 |
What You Can Learn from the Power BI Activity Log and REST APIs |
Melissa Coates |
65 |
AI-powered SharePoint Intranets |
Stefano Tempesta |
43 |
Introducing Graph Databases with Azure Cosmos DB |
Will Velida |
39 |
Advanced insides into System Versioned Temporal Tables |
Uwe Ricken |
54 |
Microsoft SQL Server - In-memory OLTP Design Principles |
Torsten Strauss |
78 |
Applied Data Science with Azure DataBricks |
Tomaz Kastrun |
115 |
DAX - Time Series Analysis, Sequences, and some other fancy stuff |
Tom Martens |
53 |
Structuring the Data Lake |
Tillmann Eitelberg |
75 |
Best practices for migrating your workloads to Azure Database for PostgreSQL and Azure Database for MySQL |
Sunil Agarwal & Arun Kumar Thiagarajan |
83 |
Adopting a DevOps Process for your Database |
Steve Jones |
84 |
Building High End SQL Server Infrastructure |
Thomas Grohser |
95 |
Build Modern Cloud Native Applications with Kubernetes and OSS Databases (MySQL & Postgres) |
Sunitha Muthukrishna |
57 |
Data Leakage- Most Ignored Problem in Machine learning |
Sandip Pani |
42 |
SQL Internals - Physical Table Structure under the hood, and implementation on real case scenarios |
Ronen Ariely |
92 |
Notebooks, PowerShell and Excel Automation |
Rob Sewell |
82 |
The monster under the bed - Overengineering the cloud |
Radu Vunvulea |
61 |
Privacy in the Public Cloud - Azure SQL Private Endpoints |
Rainer Stropek |
84 |
Azure SQL: Getting started with an Intelligent Database |
Pedro Lopes & Joe Sack |
97 |
Set Your SQL Server Data Free with the Use of Apache Kafka |
Niels Berglund |
59 |
SQL Code Testing Pipeline |
Paul Ou Yang |
64 |
Modernize your data on Azure Database for Postgres and MySQL Flexible Server |
Parikshit Savjani & Sunil Agarwal |
91 |
Mastering Tempdb |
Monica Rathbun |
73 |
T-SQL Window Functions |
Martin Catherall |
59 |
My Top 5 omissions from Azure SQL Database applications and how to fix them |
Martin Cairney |
65 |
Migrate your Database Like a Rockstar |
Marsha Pierce |
92 |
A Game of Hierarchies: Advanced Graph Algorithms in T-SQL |
Markus Ehrenmueller-Jensen |
89 |
Optimizing Backup Performance Using Data Science Techniques |
Kevin Feasel |
109 |
Inside the VertiPaq Engine |
Marco Russo |
68 |
Implementing SQL Server DevOps using Azure DevOps |
Kevin Chant & Sander Stad |
85 |
Azure SQL Database - Troubleshooting real world scenarios with Microsoft Support Engineers |
Jose Manuel Jurado Diaz & Roberto Cavalcanti |
63 |
IoT Edge - Overview and Case Study for Smart Buildings focused on Data |
Jorge Maia |
56 |
Demystifying SQL Server I/O To Improve Your T-SQL Performance |
Andy Yun |
54 |
Stretched Databases from Zero to Hero |
Armando Lacerda |
62 |
Manage Your Power Automate Governance Like A Rockstar |
Haniel Croitoru |
61 |
6 Query Tuning Techniques - Solve 75% SQL Server Performance Problems |
Amit Bansal |
59 |
Blogging for the Tech Professional |
Steve Jones |
64 |
Hackathons - unleashing hidden potential in organizations and empower individuals |
Andreas Erben |
54 |
Building an advanced practice using Azure Data Explorer |
Richard Conway |
75 |
How to Get and Nail Your Interviews |
Paresh Motiwala |
46 |
Accelerating Enterprise Analytics Solutions with Azure Synapse Analytics |
Saveen Reddy |
107 |
Learn How to Deploy Databases Using AWS DevOps Tools |
Grant Fritchey |
69 |
Crushing a Cloud Migration: Moving Mountains While Migrating Data |
Matt Gordon |
65 |
Mental Health and Wellness in IT: Safeguarding our most precious resource |
Tracy Boggiano |
56 |
Cosmos DB: Jack of All Trades, Master of Many |
Daron Yondem |
64 |
Cross-Platform Management and Fun with PowerShell, the WSL, and Windows Terminal! |
Mike Nelson |
57 |
How to Remove Bias and Make Machine Learning Models Fair & Discrimination-Free at the Example of Credit Risk Data |
Sray Agarwal |
107 |
Reinforcement Learning in gaming |
Eva Pardi & Alan Smith |
49 |
Machine Learning with Spark and Azure Synapse |
Ginger Grant |
79 |
Data Science - Feature Engineering |
Neil Hambly |
94 |
Unlocking New Visualizations and Features in Power BI |
Reid Havens |
59 |
Advanced Storage Troubleshooting for SQL Server |
Argenis Fernandez |
87 |
Machine Learning - Best Practices and Vulnerabilities |
Sebastiano Galazzo |
53 |
AI Builder: AI in Power Apps and Power Automate |
Leila Etaati |
57 |
Storing and Searching Files in SQL Server FileTables |
Sam Nasr |
59 |
Working with different Power BI data model frameworks |
Peter Myers |
66 |
Query Tuning Internals for the Advanced SQL Developer |
Kevin Kline |
75 |
Power Apps and AI - A Flow of Location Events |
Jeremy Frye |
61 |
Minimizing User Impact with Advanced Restore Methods |
Bob Pusateri |
64 |
Power BI for Ticketing and Subscription: A design pattern review |
Reza Rad |
125 |
Stop looking for job, let the job finds you |
Reza Rad |
76 |
Paginated Reports: the New Old Operational Reporting Platform |
Paul Turley |
71 |
Functional Python for the ETL Developer |
Joshua Higginbotham |
56 |
Building an Agile Data Warehouse |
Thomas Leblanc |
87 |
Global Analytics with Azure Cosmos Db and Synapse Analytics |
Warner Chaves |
76 |
Understanding NULLs in SQL Server |
Satya Ramesh |
49 |
Cloud Infrastructure as Code (IaC) using Terraform |
Manohar Punna |
43 |
Hey! I really need to save on SQL Server license costs, would you help me consolidate? |
Michelle Gutzait |
64 |
Upgrading/Migrating a Microsoft Data Platform Environment: Experiences from the Field |
William Durkin |
90 |
Querying best practices for Azure Synapse Analytics |
Charley Hanania |
96 |
Don't Bite Off More than You Can Chew - Take it in Chunks |
Erland Sommarskog |
108 |
Azure AI, Power new possibilities for every organization |
Lindsey Allen |
69 |
DBA to Data engineer |
Harsh Chawla |
52 |
Defeating Parameter Sniffing With Dynamic SQL |
Erik Darling |
99 |
Building Event-Driven Microservices with the Azure Cosmos DB Change Feed |
Leonard Lobel |
86 |
Applied AI Practical Use Case: Content Classification of Network drives |
Prashant G Bhoyar |
57 |
Securing SQL Server on Linux |
Louis Imershein |
76 |
Design Patterns for Machine Learning Projects |
Anupama Natarajan |
57 |
Monitor Your Data in Real-time with Microsoft Power BI |
Miguel Martinez & Peter Myers |
61 |
What is Azure Arc Enabled Managed Instance? |
Vin Yu |
78 |
Azure Arc Enabled SQL Server |
Sasha Nosov |
71 |
What is Azure Arc enabled PostgreSQL Hyperscale? |
Jean-Yves Devant & Nikhil Patel |
69 |
SQL Server Licensing: Demystified |
Amit Banerjee |
92 |
Inside Waits, Latches, and Spinlocks Returns |
Bob Ward |
149 |
Inside SQL Server on Kubernetes |
Bob Ward |
106 |
Big Data Clusters 1st Birthday |
Daniel Coelho & James Rowland-Jones |
82 |
Gain insights with SQL Server Big Data Clusters on Red Hat OpenShift |
Mihaela Blendea |
74 |
Deployment, High Availability and Performance guidance for SQL Server on Linux in Azure IaaS ecosystem |
Tejas Shah |
86 |
Azure Data Studio Notebooks Power Hour |
Julie Koesmarno & Alan Yu |
73 |
SQL Database Projects |
Drew Skwiers-Koballa & Udeesha Gautam |
67 |
State of the SQL Tools |
Vicky Harp & Ken Van Hyning |
62 |
SQL containers are ready, are you? - For DBA and Developers |
Amit Khandelwal |
145 |
How to Become an Azure Data Studio Contributor |
Hannah Qin & Drew Skwiers-Koballa |
74 |
New ways to keep your SQL databases on Azure VMs protected and available |
Kevin Farlee |
79 |
Administrating Big Data Clusters (BDC ) |
Melony Qin |
87 |
Real-time data analysis using Azure SQL Edge |
Vasiya Krishnan & Sourabh Agarwal |
63 |
Understanding your SQL Server readiness to migrate databases to Azure SQL using database assessment and migration tools |
Rajesh Setlem & Mohammed Kabiruddin |
72 |
Database modernization best practices and lessons learned through customer engagements |
Raj Pochiraju & Mukesh Kumar |
89 |
App Modernization and Migration from End to end, using data migration tools and Azure SQL |
Raj Pochiraju, Balmukund Lakhani & Ajay Jagannathan |
97 |
Fine Tuning Clouds: Azure SQL Database Performance Tuning Tips and Tricks |
Balmukund Lakhani & Dimitri Furman |
108 |
Modernize your SQL applications with the recently enhanced version of Azure SQL Managed Instance |
Borko Novakovic, Vladimir Ivanovic & Srdan Bozovic |
84 |
The Future of Cloud Relational Databases |
Sanjay Mishra |
184 |
DevOps for AzureSQL |
Arvind Shyamsundar |
68 |
Azure SQL Hyperscale Deep Dive |
Denzil Ribeiro |
102 |
Azure SQL: What to use when and product updates |
Ajay Jagannathan |
98 |
Azure SQL High Availability and Disaster Recovery |
Emily Lisa & Shreya Verma |
76 |
360-degree view of Azure SQL Monitoring |
Alain Dormehl & Mara Steiu |
72 |
Leverage Azure SQL Database for Hybrid Transactional and Analytical Processing (HTAP) |
Silvano Coriani |
98 |
SQL Server in Azure Virtual Machines Reimagined |
Aditya Badramraju & Pam Lahoud |
89 |
Securing your data in Azure SQL Database |
Andreas Wolter |
69 |
HTAP Analytics with Azure Synapse Link for Azure Cosmos DB |
Rodrigo Souza |
67 |
Best practices for deploying Azure Cosmos DB in enterprise mission-critical scenarios |
Andy Feldman |
54 |
Data modelling and partitioning in Azure Cosmos DB: What every relational database user needs to know |
Mark Brown |
67 |
How Delta Lake with Azure Databricks can accelerate your big data workloads |
Kyle Weller |
76 |
Migrating & Operating Business Critical Open Source Analytics Applications with Azure HDInsight |
Arindam Chatterjee |
84 |
How Data Engineers and Data Scientist can get started with Azure Synapse Analytics, Azure Data Factory and Azure Machine Learning |
Wee Hyong Tok & Nellie Gustafsson |
78 |
Building a connected analytics hub with Azure Synapse Link |
Arnaud Comet |
91 |
Microsoft Power BI: Business Intelligence Strategy, Vision, and Roadmap Update |
Arun Ulagaratchagan & Amir Netz |
84 |
Building systems of insights for enterprise scale with Power BI and Azure |
Priya Sathy |
56 |
Architecture and Maintenance of VLDBs (Part 1) |
Dmitri Korotkevitch |
69 |
Architecture and Maintenance of VLDBs (Part 2) |
Dmitri Korotkevitch |
72 |
Continuous Integration for SSIS with Azure DevOps |
Andy Leonard |
54 |
Big data analytics with Power BI and Azure Synapse Analytics |
Vijay Gopalakrishnan |
87 |
Updates to Power BI Composite models |
Jeroen ter Heerdt |
78 |
Responsible ML – A Peek into Model Interpretability |
Sandeep Alur |
56 |
Harnessing Data with Synapse Analytics |
Shikha Agrawal |
62 |
Architecting enterprise-grade data pipelines with Azure Data Factory |
Abhishek Narain |
134 |
Building Enterprise grade bot in no time |
Sudhir Rawat |
108 |
Blast to The Future: Accelerating Legacy SSIS Migrations into Azure Data Factory |
Sandy Winarko |
102 |
Designing for high performance in Power BI |
Siva Harinath & Philip Seamark |
79 |
Running Azure AI @ Scale |
Anand Raman |
87 |
Inside Azure Speech Services |
Oliver Scholz |
81 |
Inside Text Analytics, an Azure Cognitive service |
Parashar Shah |
69 |
Challenges to Overcome while Building Machine Translation Models for Indian Languages |
Krishna Doss Mohan |
72 |
Developing sophisticated virtual assistants using the Microsoft Conversational AI Platform |
Gary Pretty |
75 |
Inside Reinforcement Learning - how RL is powering Decision AI and the next set of Cognitive Services |
Amit Bahree |
61 |
Inside QnA Maker |
Neha Rajput |
56 |
Inside Computer Vision |
Varsha Parthasarathy |
67 |
Inside OCR and Form Recognizer |
Sanjeev Jagtap |
59 |
An Intelligent Operating systems for your data platform |
Sukanta Basak & Rahul Vijayan |
102 |
Red Hat OpenShift - Data Services Platform at Scale |
Sukanta Basak & Bhargav Meka |
97 |
Hello, world: what's new in Red Hat Enterprise Linux 8.3 |
Adam Goossens |
89 |
Fast Track AI/ML from Pilot to Production with Red Hat |
Ken Komazawa |
93 |
Challenges To Implementing Database DevOps |
Grant Fritchey & Stuart Ainsworth |
72 |
SQL Server storage considerations for Linux, containers, and Kubernetes environments |
Doug Bernhardt |
78 |
Enterprise Storage Solutions for Microsoft SQL Server |
Udgith Mankad, Chidambara Shashikiran & Vikram Belapurkar |
74 |
Considerations for designing a scalable and secure platform with SQL Server – for today and tomorrow |
Robert Sonders & Stephen McMaster |
85 |
Unleash the Power of SQL Server with Dell EMC PowerStore |
Bryan Walsh, Doug Bernhardt & Bart Driscoll |
125 |
Storage & Data Protection Innovations with Dell Technologies |
Bryan Walsh & Doug Bernhardt |
77 |
S.L. No. |
Speaker Name |
Country |
1 |
Abhishek Narain |
China |
2 |
Adam Goossens |
Australia |
3 |
Aditya Badramraju |
United States |
4 |
Ajay Jagannathan |
United States |
5 |
Alain Dormehl |
United States |
6 |
Alan Smith |
Sweden |
7 |
Alan Yu |
United States |
8 |
Alex Whittles |
United Kingdom |
9 |
Alex Yates |
United Kingdom |
10 |
Alexander Arvidsson |
Sweden |
11 |
Alicia Moniz |
United States |
12 |
Amir Netz |
United States |
13 |
Amit Bahree |
United States |
14 |
Amit Banerjee |
United States |
15 |
Amit Bansal |
India |
16 |
Amit Khandelwal |
India |
17 |
Amol Bhatnagar |
United States |
18 |
Anand Raman |
United States |
19 |
Andreas Erben |
United States |
20 |
Andreas Wolter |
United States |
21 |
Andrew Brust |
United States |
22 |
Andy Feldman |
United States |
23 |
Andy Leonard |
United States |
24 |
Andy Yun |
United States |
25 |
Anna Hoffman |
United States |
26 |
Anthony Nocentino |
United States |
27 |
Anupama Natarajan |
New Zealand |
28 |
Argenis Fernandez |
United States |
29 |
Arindam Chatterjee |
United States |
30 |
Armando Lacerda |
United States |
31 |
Arnaud Comet |
United States |
32 |
Arun Kumar Thiagarajan |
United States |
33 |
Arun Ulagaratchagan |
United States |
34 |
Arvind Shyamsundar |
United States |
35 |
Ashish Khandelwal |
United States |
36 |
Balmukund Lakhani |
India |
37 |
Ben Miller |
United States |
38 |
Ben Weissman |
Germany |
39 |
Benjamin Kettner |
Germany |
40 |
Bhargav Meka |
India |
41 |
Bob Pusateri |
United States |
42 |
Bob Ward |
United States |
43 |
Borko Novakovic |
Serbia |
44 |
Brian Carrig |
United States |
45 |
Bryan Walsh |
United States |
46 |
Charley Hanania |
Switzerland |
47 |
Chidambara Shashikiran |
United States |
48 |
Chris ADKIN |
United Kingdom |
49 |
Christian Wade |
United States |
50 |
Damian Widera |
Poland |
51 |
Damir Matesic |
Croatia |
52 |
Daniel Coelho |
United States |
53 |
Daron Yondem |
Turkey |
54 |
David Goad |
Australia |
55 |
David Pless |
United States |
56 |
Davide Mauri |
United States |
57 |
Deborah Melkin |
United States |
58 |
Dejan Sarka |
Slovenia |
59 |
Denzil Ribeiro |
United States |
60 |
Dimitri Furman |
United States |
61 |
Dmitri Korotkevitch |
United States |
62 |
Doug Bernhardt |
United States |
63 |
Dr. Greg Low |
Australia |
64 |
Dr. Leila Etaati |
New Zealand |
65 |
Drew Skwiers-Koballa |
United States |
66 |
Edwin Sarmiento |
Canada |
67 |
Emily Lisa |
United States |
68 |
Erik Darling |
United States |
69 |
Erland Sommarskog |
Sweden |
70 |
Eva Pardi |
Denmark |
71 |
Ferenc Csonka |
Hungary |
72 |
Gary Pretty |
United Kingdom |
73 |
Gilbert Quevauvilliers |
Australia |
74 |
Ginger Grant |
United States |
75 |
Grant Fritchey |
United States |
76 |
Guy Glantser |
Israel |
77 |
Hamish Watson |
New Zealand |
78 |
Haniel Croitoru |
Canada |
79 |
Hannah Qin |
United States |
80 |
Harsh Chawla |
India |
81 |
Hasan Savran |
United States |
82 |
Itzik Ben-Gan |
United States |
83 |
James Rowland-Jones |
United States |
84 |
Javier Villegas |
Argentina |
85 |
Jean-Yves Devant |
United States |
86 |
Jeremy Frye |
United States |
87 |
Jeroen ter Heerdt |
United States |
88 |
Jess Promfret |
United Kingdom |
89 |
Joe Sack |
United States |
90 |
John Martin |
United Kingdom |
91 |
John Morehouse |
United States |
92 |
Jorge Maia |
Brazil |
93 |
Jose Manuel Jurado Diaz |
Spain |
94 |
Joshua Higginbotham |
United States |
95 |
Julie Koesmarno |
United States |
96 |
Kelly Kaye |
United States |
97 |
Ken Komazawa |
Japan |
98 |
Ken Van Hyning |
Japan |
99 |
Kevin Chant |
Netherlands |
100 |
Kevin Farlee |
United States |
101 |
Kevin Feasel |
United States |
102 |
Kevin Kline |
United States |
103 |
Krishna Doss Mohan |
United States |
104 |
Kyle Weller |
United States |
105 |
Leonard Lobel |
United States |
106 |
Lindsey Allen |
United States |
107 |
Louis Davidson |
United States |
108 |
Louis Imershein |
United States |
109 |
Magnus Ahlkvist |
Sweden |
110 |
Manohar Punna |
Australia |
111 |
Mara Steiu |
United States |
112 |
Marco Russo |
Italy |
113 |
Mark Brown |
United States |
114 |
Markus Ehrenmueller-Jensen |
Austria |
115 |
Marsha Pierce |
United States |
116 |
Martin Cairney |
Australia |
117 |
Martin Catherall |
Australia |
118 |
Matt Gordon |
United States |
119 |
Melissa Coates |
United States |
120 |
Melony Qin |
United Kingdom |
121 |
Michelle Gutzait |
Canada |
122 |
Miguel Martinez |
United States |
123 |
Mihaela Blendea |
United States |
124 |
Mihail Mateev |
Bulgaria |
125 |
Mike Nelson |
United States |
126 |
Mohammed Kabiruddin |
Australia |
127 |
Mohit Batra |
India |
128 |
Monica Rathbun |
United States |
129 |
Mukesh Kumar |
United States |
130 |
Neha Rajput |
India |
131 |
Neil Hambly |
United Kingdom |
132 |
Nellie Gustafsson |
United States |
133 |
Niels Berglund |
South Africa |
134 |
Nikhil Patel |
United States |
135 |
Oliver Scholz |
United States |
136 |
Pam Lahoud |
United States |
137 |
Parashar Shah |
United States |
138 |
Paresh Motiwala |
United States |
139 |
Parikshit Savjani |
Singapore |
140 |
Paul Ou Yang |
United States |
141 |
Paul Turley |
United States |
142 |
Pedro Lopes |
United States |
143 |
Peter Myers |
Australia |
144 |
Phani Mutyala |
United States |
145 |
Philip Seamark |
New Zealand |
146 |
Prashant G Bhoyar |
United States |
147 |
Priya Sathy |
United States |
148 |
Radu Vunvulea |
Romania |
149 |
Rahul Ajmera |
United States |
150 |
Rahul Vijayan |
Singapore |
151 |
Rainer Stropek |
Austria |
152 |
Raj Pochiraju |
United States |
153 |
Rajesh Setlem |
United States |
154 |
Ramesh Satya |
India |
155 |
Reid Havens |
United States |
156 |
Reza Rad |
New Zealand |
157 |
Richard Conway |
United Kingdom |
158 |
Rie Irish |
United States |
159 |
Rob Sewell |
United Kingdom |
160 |
Robert Sonders |
United States |
161 |
Roberto Cavalcanti |
United States |
162 |
Rodrigo Souza |
United States |
163 |
Ronen Ariely |
Israel |
164 |
Sam Nasr |
United States |
165 |
Sandeep Alur |
India |
166 |
Sander Stad |
Netherlands |
167 |
Sandip Pani |
India |
168 |
Sandy Winarko |
China |
169 |
Sanjay Mishra |
United States |
170 |
Sanjeev Jagtap |
United States |
171 |
Sasha Nosov |
United States |
172 |
Saveen Reddy |
United States |
173 |
Sebastiano Galazzo |
Italy |
174 |
Shikha Agrawal |
India |
175 |
Shreya Verma |
United States |
176 |
Silvano Coriani |
Italy |
177 |
Siva Harinath |
United States |
178 |
Sourabh Agarwal |
United States |
179 |
Sray Agarwal |
United Kingdom |
180 |
Srdan Bozovic |
Serbia |
181 |
Stefano Tempesta |
Australia |
182 |
Stephen McMaster |
United States |
183 |
Steve Jones |
United States |
184 |
Stuart Ainsworth |
United States |
185 |
Sudhir Rawat |
India |
186 |
Sukanta Basak |
India |
187 |
Sunil Agarwal |
United States |
188 |
Sunil Sabat |
United States |
189 |
Sunitha Muthukrishna |
United States |
190 |
Tejas Shah |
India |
191 |
Thomas Grohser |
United States |
192 |
Thomas Leblanc |
United States |
193 |
Tillmann Eitelberg |
Germany |
194 |
Tom Martens |
Germany |
195 |
Tomaz Kastrun |
Slovenia |
196 |
Torsten Strauss |
Germany |
197 |
Tracy Boggiano |
United States |
198 |
Udeesha Gautam |
United States |
199 |
Udgith Mankad |
United States |
200 |
Uwe Ricken |
Germany |
201 |
Varsha Parthasarathy |
United States |
202 |
Vasiya Krishnan |
United States |
203 |
Vicky Harp |
United States |
204 |
Vijay Gopalakrishnan |
United States |
205 |
Vikram Belapurkar |
United States |
206 |
Vin Yu |
United States |
207 |
Vladimir Ivanovic |
Serbia |
208 |
Warner Chaves |
Canada |
209 |
Warwick Rudd |
Australia |
210 |
Wee Hyong Tok |
United States |
211 |
Will Velida |
New Zealand |
212 |
William Durkin |
Germany |
213 |
Yana Berkovich |
United States |
Pre-Conference Training Classes @ DPS 2020 (November 30 & December 1) |
|
1 |
An Enterprise-Friendly Framework for Implementing Power BI Projects (What Comes After The 5 Minutes to Wow for An Enterprise) by Dr. Greg Low |
2 |
Performance-Centric T-SQL by Itzik Ben-Gan |
3 |
Build Your Own End to End SQL Server Deployment Pipeline (For Under $1 A Day) by Alex Yates |
4 |
SQL Server: Advanced Training for Azure VM Deployments by Microsoft (David Pless, Pam Lahoud, Amit Khandelwal, Tejas Shah, Aditya Badramraju) |
5 |
The Azure SQL Workshop by Bob Ward & Anna Hoffman |
6 |
Mastering T-SQL Querying Fundamentals by Itzik Ben-Gan |
7 |
Self-Service AI with Power BI Desktop by Markus Ehrenmueller-Jensen |
8 |
The SQL Server DBA’s Guide to Docker Containers by Edwin Sarmiento |
9 |
Getting Started with Azure Data Factory by Andy Leonard |
10 |
Practical Data Engineering with Azure Synapse Analytics by Warner Chaves |
11 |
Power BI – Data Visualization by Yana Berkovich |
12 |
Power BI Desktop Data Modeling End-to-End by Peter Myers |
13 |
Kubernetes Zero to Hero - Installation, Configuration, and Application Deployment by Anthony Nocentino |
14 |
Deep Dive SQL Server Migration to Azure SQL by Raj Pochiraju & Team |
|
|
Post-Conference Training Classes @ DPS 2020 (December 7 & 8) |
|
1 |
Analyze and Optimize Your SQL Server by Uwe Ricken |
2 |
Data Science Algorithms by Dejan Sarka |
3 |
Dashboard in A Day by Sivakumar Harinath |
4 |
Building Enterprise-Grade Data Pipelines Using Synapse Pipelines In Azure Synapse Analytics by Abhishek Narain |
5 |
SQL Server 2019 Big Data Clusters in A Day by Ben Weissman |
6 |
PowerShell And SQL Server With DBATools by Rob Sewell |
7 |
Data-Loading and Transformation Strategies for Modern Cloud-Based Data Warehouses by Benjamin Kettner |
8 |
Microsoft Conversational AI Master Class by Prashant G Bhoyar |
9 |
The Beginner’s Guide to Advanced Performance Tuning by Erik Darling |
10 |
Applying Forensic Accounting Techniques to Data Analysis in Python and SQL by Kevin Feasel |
11 |
A to Z Azure Cosmos DB by Hasan Savran |
12 |
Machine Learning for Developers by Anupama Natarajan |
13 |
Maximum ROI - How to Optimize Your Azure SQL Database Platform and Applications by Martin Cairney |
14 |
DAX In A Day by Philip Seamark |
S.L. No. |
Speaker Name |
Session Title |
1 |
Magnus Ahlkvist |
Statistics, an Unreliable Friend |
2 |
Mohit Batra |
Building Streaming Pipeline with Azure Databricks Using Structured Streaming and Delta Lake |
3 |
Mihail Mateev |
Anomaly Detection, Powered by Azure AI and Digital Twins |
4 |
Alex Whittles |
Machine Learning in Power BI |
5 |
Alex Yates Sander Stad |
Solving the dev database problem with GitHub, Docker and dbaclone |
6 |
Alexander Arvidsson |
Talking to myself(?) - lessons learned from presenting online |
7 |
Alicia Moniz |
Data Stewardship in an AI-Driven Ecosystem: InterpretML, FairLearn, WhiteNoise |
8 |
Amol Bhatnagar |
Turbocharge your MySQL engine on Azure to make it fast, resilient and scalable |
9 |
Andreas Erben |
Cognition for applications - Cognitive Services and Mixed Reality in action |
10 |
Andrew Brust |
AI and Analytics with Apache Spark and Azure Databricks |
11 |
Anthony Nocentino |
Containers - What’s Next? |
12 |
Ben Miller |
SQL Server Encryption Unplugged |
13 |
Benjamin Kettner |
Cloud-Based ETL with Azure Data Factory and Azure Functions |
14 |
Chris ADKIN |
Kubernetes and OpenShift Infrastructure for SQL Server 2019 Big Data Clusters |
15 |
Damian Widera |
Quantum computing explained with demos! |
16 |
Damir Matesic |
MS SQL New functions, syntaxes, tips & tricks |
17 |
David Goad |
A Guide to Developing your Ideal Internet of Things (IoT) Architecture: Nine (9) Key Questions to ask yourself BEFORE developing your IoT solution |
18 |
David Pless Brian Carrig |
SQL Server 2019: Building a Foundation with Persistent Memory |
19 |
Davide Mauri |
Create secure API with .NET, Dapper and Azure SQL |
20 |
Deborah Melkin |
Single Statement, Many Changes: How One Statement Can Modify Multiple Tables |
21 |
Dejan Sarka |
Text Mining with TSQL |
22 |
Edwin Sarmiento |
Building a Custom SQL Server on Containers Image for Deployment |
23 |
Ferenc Csonka |
XMLA Read-Write Endpoint: The Cornerstone for Power BI as an Enterprise BI solution |
24 |
Gilbert Quevauvilliers |
How I reduced my Power BI Dataset by 60% |
25 |
Greg Low |
Really understanding character data types in SQL Server |
26 |
Guy Glantser |
Analyzing Execution Plans Like a Pro |
27 |
Hamish Watson |
KQL will be the next Query Language you will learn to manage Azure SQL Databases |
28 |
Hasan Savran |
What do Graph Tables bring to the table |
29 |
Javier Villegas |
Monitoring and Troubleshooting SQL Server environments using Free community tools |
30 |
John Morehouse |
Optimizing Query Performance in Azure SQL Database |
31 |
John Martin |
SQL Server and Network Security |
32 |
Warwick Rudd |
Azure Data Studio Above and Beyond |
33 |
Louis Davidson |
Matters of Concurrency |
34 |
Melissa Coates |
What You Can Learn from the Power BI Activity Log and REST APIs |
35 |
Stefano Tempesta |
AI-powered SharePoint Intranets |
36 |
Will Velida |
Introducing Graph Databases with Azure Cosmos DB |
37 |
Uwe Ricken |
Advanced insides into System Versioned Temporal Tables |
38 |
Torsten Strauss |
Microsoft SQL Server - In-memory OLTP Design Principles |
39 |
Tomaz Kastrun |
Applied Data Science with Azure DataBricks |
40 |
Tom Martens |
DAX - Time Series Analysis, Sequences, and some other fancy stuff |
41 |
Tillmann Eitelberg |
Structuring the Data Lake |
42 |
Sunil Agarwal |
Best practices for migrating your workloads to Azure Database for PostgreSQL and Azure Database for MySQL |
43 |
Steve Jones |
Adopting a DevOps Process for your Database |
44 |
Thomas Grohser |
Building High End SQL Server Infrastructure |
45 |
Sunitha Muthukrishna |
Build Modern Cloud Native Applications with Kubernetes and OSS Databases (MySQL Postgres) |
46 |
Sandip Pani |
Data Leakage- Most Ignored Problem in Machine learning |
47 |
Ronen Ariely |
SQL Internals - Physical Table Structure under the hood, and implementation on real case scenarios |
48 |
Rob Sewell |
Notebooks, PowerShell and Excel Automation |
49 |
Radu Vunvulea |
The monster under the bed - Overengineering the cloud |
50 |
Rainer Stropek |
Privacy in the Public Cloud - Azure SQL Private Endpoints |
51 |
Pedro Lopes |
Azure SQL: Getting started with an Intelligent Database |
52 |
Niels Berglund |
Set Your SQL Server Data Free with the Use of Apache Kafka |
53 |
Paul Ou Yang |
SQL Code Testing Pipeline |
54 |
Parikshit Savjani |
Modernize your data on Azure Database for Postgres and MySQL Flexible Server |
55 |
Monica Rathbun |
Mastering Tempdb |
56 |
Martin Catherall |
T-SQL Window Functions |
57 |
Martin Cairney |
My Top 5 omissions from Azure SQL Database applications and how to fix them |
58 |
Marsha Pierce |
Migrate your Database Like a Rockstar |
59 |
Markus Ehrenmueller-Jensen |
A Game of Hierarchies: Advanced Graph Algorithms in T-SQL |
60 |
Kevin Feasel |
Optimizing Backup Performance Using Data Science Techniques |
61 |
Marco Russo |
Inside the VertiPaq Engine |
62 |
Kevin Chant |
Implementing SQL Server DevOps using Azure DevOps |
63 |
Jose Manuel Jurado Diaz |
Azure SQL Database - Troubleshooting real world scenarios with Microsoft Support Engineers |
64 |
Jorge Maia |
IoT Edge - Overview and Case Study for Smart Buildings focused on Data |
65 |
Andy Yun |
Demystifying SQL Server I/O To Improve Your T-SQL Performance |
66 |
Armando Lacerda |
Stretched Databases from Zero to Hero |
67 |
Haniel Croitoru |
Manage Your Power Automate Governance Like A Rockstar |
68 |
Amit Bansal |
6 Query Tuning Techniques - Solve 75% SQL Server Performance Problems |
69 |
Steve Jones |
Blogging for the Tech Professional |
70 |
Andreas Erben |
Hackathons - unleashing hidden potential in organizations and empower individuals |
71 |
Richard Conway |
Building an advanced practice using Azure Data Explorer |
72 |
Paresh Motiwala |
How to Get and Nail Your Interviews |
73 |
Grant Fritchey |
Learn How to Deploy Databases Using AWS DevOps Tools |
74 |
Matt Gordon |
Crushing a Cloud Migration: Moving Mountains While Migrating Data |
75 |
Tracy Boggiano |
Mental Health and Wellness in IT: Safeguarding our most precious resource |
76 |
Daron Yondem |
Cosmos DB: Jack of All Trades, Master of Many |
77 |
Mike Nelson |
Cross-Platform Management and Fun with PowerShell, the WSL, and Windows Terminal! |
78 |
Sray Agarwal |
How to Remove Bias and Make Machine Learning Models Fair Discrimination-Free at the Example of Credit Risk Data |
79 |
Eva Pardi Alan Smith |
Reinforcement Learning in gaming |
80 |
Ginger Grant |
Machine Learning with Spark and Azure Synapse |
81 |
Neil Hambly |
Data Science - Feature Engineering |
82 |
Reid Havens |
Unlocking New Visualizations and Features in Power BI |
83 |
Argenis Fernandez |
Advanced Storage Troubleshooting for SQL Server |
84 |
Sebastiano Galazzo |
Machine Learning - Best Practices and Vulnerabilities |
85 |
Leila Etaati |
AI Builder: AI in Power Apps and Power Automate |
86 |
Sam Nasr |
Storing and Searching Files in SQL Server FileTables |
87 |
Peter Myers |
Working with different Power BI data model frameworks |
88 |
Kevin Kline |
Query Tuning Internals for the Advanced SQL Developer |
89 |
Jeremy Frye |
Power Apps and AI - A Flow of Location Events |
90 |
Bob Pusateri |
Minimizing User Impact with Advanced Restore Methods |
91 |
Reza Rad |
Power BI for Ticketing and Subscription: A design pattern review |
92 |
Reza Rad |
Stop looking for job, let the job finds you |
93 |
Paul Turley |
Paginated Reports: the New Old Operational Reporting Platform |
94 |
Joshua Higginbotham |
Functional Python for the ETL Developer |
95 |
Thomas Leblanc |
Building an Agile Data Warehouse |
96 |
Warner Chaves |
Global Analytics with Azure Cosmos Db and Synapse Analytics |
97 |
Satya Ramesh |
Understanding NULLs in SQL Server |
98 |
Manohar Punna |
Cloud Infrastructure as Code (IaC) using Terraform |
99 |
Michelle Gutzait |
Hey! I really need to save on SQL Server license costs, would you help me consolidate? |
100 |
William Durkin |
Upgrading/Migrating a Microsoft Data Platform Environment: Experiences from the Field |
101 |
Charley Hanania |
Querying best practices for Azure Synapse Analytics |
102 |
Erland Sommarskog |
Don't Bite Off More than You Can Chew - Take it in Chunks |
103 |
Andre Melancia |
I'm not sorry, Dave... ML.Net can do that! |
104 |
Lindsey Allen |
Azure AI, Power new possibilities for every organization |
105 |
Harsh Chawla |
DBA to Data engineer |
106 |
Erik Darling |
Defeating Parameter Sniffing With Dynamic SQL |
107 |
Leonard Lobel |
Building Event-Driven Microservices with the Azure Cosmos DB Change Feed |
108 |
Prashant G Bhoyar |
Applied AI Practical Use Case : Content Classification of Network drives |
109 |
Louis Imershein |
Securing SQL Server on Linux |
110 |
Anupama Natarajan |
Design Patterns for Machine Learning Projects |
111 |
Miguel Martinez |
Monitor Your Data in Real-time with Microsoft Power BI |
112 |
Vin Yu |
What is Azure Arc Enabled Managed Instance? |
113 |
Sasha Nosov |
Azure Arc Enabled SQL Server |
114 |
Jean-Yves Devant |
What is Azure Arc enabled PostgreSQL Hyperscale? |
115 |
Amit Banerjee |
SQL Server Licensing: Demystified |
116 |
Bob Ward |
Inside Waits, Latches, and Spinlocks Returns |
117 |
Bob Ward |
Inside SQL Server on Kubernetes |
118 |
Daniel Coelho James Rowland-Jones |
Big Data Clusters 1st Birthday |
119 |
Mihaela Blendea |
Gain insights with SQL Server Big Data Clusters on Red Hat OpenShift |
120 |
Tejas Shah |
Deployment, High Availability and Performance guidance for SQL Server on Linux in Azure IaaS ecosystem |
121 |
Julie Koesmarno |
Azure Data Studio Notebooks Power Hour |
122 |
Drew Skwiers-Koballa Udeesha Gautam |
SQL Database Projects |
123 |
Vicky Harp Ken Van Hyning |
State of the SQL Tools |
124 |
Amit Khandelwal |
SQL containers are ready, are you? - For DBA and Developers |
125 |
Hannah Qin Drew Skwiers-Koballa |
How to Become an Azure Data Studio Contributor |
126 |
Kevin Farlee |
New ways to keep your SQL databases on Azure VMs protected and available |
127 |
Melony Qin |
Administrating Big Data Clusters (BDC) |
128 |
Vasiya Krishnan |
Real-time data analysis using Azure SQL Edge |
129 |
Rajesh Setlem |
Understanding your SQL Server readiness to migrate databases to Azure SQL using database assessment and migration tools |
130 |
Raj Pochiraju Mukesh Kumar |
Database modernization best practices and lessons learned through customer engagements |
131 |
Raj Pochiraju, Balmukund Lakhani Ajay Jagannathan |
App Modernization and Migration from End to end, using data migration tools and Azure SQL |
132 |
Balmukund Lakhani |
Fine Tuning Clouds: Azure SQL Database Performance Tuning Tips and Tricks |
133 |
Borko Novakovic |
Modernize your SQL applications with the recently enhanced version of Azure SQL Managed Instance |
134 |
Sanjay Mishra |
The Future of Cloud Relational Databases |
135 |
Arvind Shyamsundar |
DevOps for AzureSQL |
136 |
Denzil Ribeiro |
Azure SQL Hyperscale Deep Dive |
137 |
Ajay Jagannathan |
Azure SQL: What to use when and product updates |
138 |
Emily Lisa |
Azure SQL High Availability and Disaster Recovery |
139 |
Alain Dormehl |
360-degree view of Azure SQL Monitoring |
140 |
Silvano Coriani |
Leverage Azure SQL Database for Hybrid Transactional and Analytical Processing (HTAP) |
141 |
Aditya Badramraju |
SQL Server in Azure Virtual Machines Reimagined |
142 |
Andreas Wolter |
Securing your data in Azure SQL Database |
143 |
Rodrigo Souza |
HTAP Analytics with Azure Synapse Link for Azure Cosmos DB |
144 |
Andy Feldman |
Best practices for deploying Azure Cosmos DB in enterprise mission-critical scenarios |
145 |
Mark Brown |
Data modelling and partitioning in Azure Cosmos DB: What every relational database user needs to know |
146 |
Kyle Weller |
How Delta Lake with Azure Databricks can accelerate your big data workloads |
147 |
Arindam Chatterjee |
Migrating & Operating Business Critical Open Source Analytics Applications with Azure HDInsight |
148 |
Wee Hyong Tok |
How Data Engineers and Data Scientist can get started with Azure Synapse Analytics, Azure Data Factory and Azure Machine Learning |
149 |
Arnaud Comet |
Building a connected analytics hub with Azure Synapse Link |
150 |
Arun Ulagaratchagan |
Microsoft Power BI: Business Intelligence Strategy, Vision, and Roadmap Update |
151 |
Priya Sathy |
Building systems of insights for enterprise scale with Power BI and Azure |
152 |
Dmitri Korotkevitch |
Architecture and Maintenance of VLDBs (Part 1) |
153 |
Dmitri Korotkevitch |
Architecture and Maintenance of VLDBs (Part 2) |
154 |
Andy Leonard |
Continuous Integration for SSIS with Azure DevOps |
155 |
Vijay Gopalakrishnan |
Big data analytics with Power BI and Azure Synapse Analytics |
156 |
Jeroen ter Heerdt |
Updates to Power BI Composite models |
157 |
Sandeep Alur |
Responsible ML – A Peek into Model Interpretability |
158 |
Shikha Agrawal |
Harnessing Data With Synapse Analytics |
159 |
Abhishek Narain |
Architecting enterprise-grade data pipelines with Azure Data Factory |
160 |
Sudhir Rawat |
Building Enterprise grade bot in no time |
161 |
Sandy Winarko |
Blast to The Future: Accelerating Legacy SSIS Migrations into Azure Data Factory |
162 |
Siva Harinath Philip Seamark |
Designing for high performance in Power BI |
163 |
Anand Raman |
Running Azure AI @ Scale |
164 |
Oliver Scholz |
Inside Azure Speech Services |
165 |
Parashar Shah |
Inside Text Analytics, an Azure Cognitive service |
166 |
Krishna Doss Mohan |
Challenges to Overcome while Building Machine Translation Models for Indian Languages |
167 |
Gary Pretty |
Developing sophisticated virtual assistants using the Microsoft Conversational AI Platform |
168 |
Amit Bahree |
Inside Reinforcement Learning - how RL is powering Decision AI and the next set of Cognitive Services |
169 |
Neha Rajput |
Inside QnA Maker |
170 |
Varsha Parthasarathy |
Inside Computer Vision |
171 |
Sanjeev Jagtap |
Inside OCR and Form Recognizer |
172 |
Sukanta Basak |
An Intelligent Operating system for your data platform |
173 |
Sukanta Basak |
Red Hat OpenShift - Data Services Platform at Scale |
174 |
Adam Goossens |
Hello, world: what's new in Red Hat Enterprise Linux 8.3 |
175 |
Ken Komazawa |
Fast Track AI/ML from Pilot to Production with Red Hat |
176 |
Grant Fritchey |
Challenges to Implementing Database DevOps |
177 |
Doug Bernhardt |
SQL Server storage considerations for Linux, containers, and Kubernetes environments |
178 |
Udgith Mankad Chidambara Shashikiran |
Enterprise Storage Solutions for Microsoft SQL Server |
179 |
Robert Sonders |
Considerations for designing a scalable and secure platform with SQL Server – for today and tomorrow |
180 |
Bryan Walsh |
Unleash the Power of SQL Server with Dell EMC PowerStore |
181 |
Bryan Walsh |
Storage & Data Protection Innovations with Dell Technologies |
182 |
Saveen Reddy |
Accelerating Enterprise Analytics Solutions with Azure Synapse Analytics |
Topic |
|
DevOps |
Brian Carrig/Hamish Watson |
Power BI |
Sivakumar Harinath/Marco Russo/Paul Turley |
Database Development |
Damian Widera/Michelle Gutzait/Drew Skwiers Koballa |
Azure SQL Family |
Anna Hoffman/Roberto Cavalcanti/Jose Manuel Jurado |
PowerShell and Database Management |
Ben Miller |
Modern Data Warehouse |
Thomas Grohser/Wee Hyong Tok/Mohit Batra/Sandy Winarko/Arnaud Comet |
Azure SQL Family |
Parikshit Savjani/Sunil Agarwal/Ronen Ariely |
Database Performance Tuning |
Brian Carrig/Magnus Ahlkvist |
Modern Data Warehouse |
Thomas Grohser/Harsh Chawla/Sudhir Rawat |
Power BI |
Sivakumar Harinath/Reid Havens |
Advanced Analytics |
Damian Widera/Andre Melancia/Sudhir Rawat |
Data Engineering |
Joshua Higginbotham/Abhishek Narain/Richard Conway |
Data Science, ML and AI |
Damian Widera/Andre Melancia/Dejan Sarka |
Diversity and Inclusion |
Tracy Boggiano/Michelle Gutzait/Jess Pomfret/Hamish Watson |
DevOps |
Grant Fritchey/Brian Carrig/Hamish Watson |
Database Performance Tuning |
Brian Carrig/Erland Sommarskog/Michelle Gutzait |
Women in Technology |
Rie Irish/Anna Hoffman/Pam Lahoud/Vasiya Krishnan/Julie Koesmarno |
S.L. No. |
Topic |
Speaker |
1 |
Power BI |
Marco Russo |
2 |
Big Data Analytics and BI: Individually and together |
Andrew Brust |
3 |
SQL Scaling and Availability |
Brian Carrig |
4 |
Azure Data Factory, Synapse Pipelines |
Abhishek Narain |
5 |
Managing Infrastructure (Building, Automating, Managing, Ground and Cloud) |
Thomas Grohser |
6 |
Azure SQL Family Q&A |
Jose Manuel Jurado |
7 |
SSIS in ADF |
Sandy Winarko |
8 |
Azure SQL App Development |
Silvano Coriani |
9 |
Azure SQL Family |
Matt Gordon |
10 |
SQL Server on Containers |
Edwin M Sarmiento |
11 |
Azure Databricks and Delta Lake |
Mohit Batra |
12 |
Execution Plans: What Do You Want To Know? |
Grant Fritchey |
13 |
Power BI |
Jeroen ter Heerdt |
14 |
Power BI Report & Visual Design |
Reid Havens |
15 |
PolyBase |
Kevin Feasel |
16 |
Access Control and Separation of Duties in Azure SQL and SQL Server |
Andreas Wolter |
17 |
AMA with Bob Ward |
Bob Ward |
18 |
Azure Data Factory |
Wee Hyong Tok |
19 |
Data Movement for Cloud |
Brian Carrig |
20 |
AMA: Azure Database for MySQL, PostgreSQL and MariaDB & Hyperscale (Citus) |
Sunil Agarwal and Parikshit Savjani |
21 |
Managing Infrastructure (Building, Automating, Managing, Ground and Cloud) |
Thomas Grohser |
22 |
Database Development / Modern DW |
Damian Widera |
23 |
Database design |
Dejan Sarka |
24 |
TSQL |
Erland Sommarskog |
25 |
Power BI |
Ferenc Csonka |
26 |
Power BI |
Jeroen ter Heerdt |
27 |
Azure SQL, Migrations, and Learning |
Anna hoffman |
28 |
Data Streaming and Timeseries in SQL Edge |
Saurabh Agarwal |
Amit Bansal |
Manohar Punna |
Sandip Pani |
Surbhi Agarwal |
Satya Ramesh |
Mamita Sinha |
Mahua Mitra |
Aarthi Nambiar |
Rohit Reddy |
Vamsi Ramisetty |
Yogesh Kumar |
Gowtham R S |
Shrestaa S Nahar |
Payal Maity |
Abhijit Bose |