Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 54 days ago

DATA BASH '24

event date

19 Oct 2024

location

Online

website

databash.live/


This conference is a live online event (on YouTube) organised by the German-speaking data communities in Austria, Germany, and Switzerland. We have a "soft spot" in our hearts for sessions delivered in German, and for this reason we have blocks for German sessions, however, the majority of the sessions will be delivered in English.

Topics this conference covers:

  • Microsoft Azure Platform
  • SQL Server
  • Power Platform & MS Fabric
  • Big Data & Analytics
  • Artificial Intelligence on Azure 
  • Diversity, Equity and Inclusion

Anything within the Microsoft Stack is welcome as long it is connected to data somehow. This includes Power Automate and other services.

finished 133 days ago
Call for Speakers
Call opens at 11:00 PM

24 Jun 2024

Call closes at 11:59 PM

31 Jul 2024

Call closes in W. Europe Daylight Time (UTC+02:00) timezone.
Closing time in your timezone () is .

IF YOU HAVE ANY QUESTIONS, JUST ASK! Contact us, we don't bite. 

CODE OF CONDUCT: https://databash.live/code-of-conduct/

Everyone involved in this event must comply with our Code of Conduct. In case of any reported violations of our code of conduct, we reserve the right to pass the name of these persons to third parties, including law enforcement, to enforce this code of conduct and the safety of any other speaker or attendee. Conference participants violating these rules may be expelled from the conference at the discretion of the conference organizers. Speakers or attendees banned from other events may be refused to participate at the discretion of the organizing team.

GENERAL SESSIONS: 

Open for all sessions related to the Microsoft Data & AI Platform, in all possible flavors. From more traditional DBA and BI topics, to modern data topics like data lakehouses, data virtualization and Large Language Models.

Non-tech sessions, contributing to a better and more diverse community, are welcomed with open arms. Think Mental Health for IT Pros, Imposter Syndrome, Amplifying Diversity & Inclusion, Career & Personal Growth

All general conference sessions are 60 minutes long (including at least 5 minutes of Q&A), and allocated to a track by the organizing team.

GERMAN SESSIONS

A smaller, limited number of sessions can be held in German in blocks that we will provide. However, the majority of the sessions will be in English. Please select the language you want to present in.

NEW SPEAKERS: 

We genuinely encourage any new speaker to submit a proposal as a newcomer. As an easy guideline, new speakers are people who have not yet presented at a SQL Server / Azure / Power Platform etc. conference. User Group sessions, webinars and client/team presentations are not taken into account for this categorization.

Each new speaker will be paired with a buddy/mentor, who will provide them with highly valuable tips & tricks. Moreso, we'll provide new speakers with all assistance they need and want whilst preparing for their debut.

Submitting as a new speaker, means you agree to meet with your buddy/mentor and collaborate on your session.

SUBMISSIONS

Three submissions are allowed per speaker. Up to three co-speakers are allowed per session submission. Submitted sessions are viewable publicly on the Sessionize platform. More than one submitted session may be accepted into the conference agenda.

BROADCASTING

The conference will be broadcast live to YouTube, LinkedIn and Twitter and possibly other channels.

After the event, the recordings will be published

A few recordings may be used for marketing the next event if the speaker has agreed to this.

TIMELINE: 

- Call for Speakers opens: June 24 2024
- Call for Speakers closes: July 31th 2024
- Session selection feedback: 11th August 2024
- Schedule announcement to public: end August 2024
- Conference day: October 19th 2024


all submitted sessions

publicly listed on this page
211 submissions
Submitted sessions
Deepthi Goguri
  • 15 minutes into SQL Server 2022
  • Ultimate Guide to Monitor and Tune your Azure SQL Effectively
  • Empowering Efficient Query Performance: Unveiling SQL Server 2022
Hariharan Rajendran
  • Microsoft Fabric Impact in Power BI Projects and Solutions
Charley Hanania
  • The Parquet File Format - Under the Hood
  • Performance options in Azure Synapse Analytics
Vijaykumar Jangamashetti
  • Google BigQuery - Heart of Smart Analytics toolset on Google Cloud
  • Unlock the Power of Generative AI with Google Cloud GenAI: A Deep Dive into Gemini and Beyond
Andy Cutler
  • Creating a Logical Data Warehouse using Azure Synapse Analytics Serverless SQL Pools
  • Azure Synapse Analytics & Microsoft Fabric: The Showdown
  • Microsoft Fabric Warehouses for the Database Administrator
Catalin Gheorghiu
  • Adaptive Cloud & Fabric?
  • Custom Vision tips and tricks
Samudra Bandaranayake
  • Leverage Dynamic M Parameters in Power Query to Enable Multi-Select Functionality
Nigel Foulkes-Nock
  • Helping the Community - effective Volunteering and Fundraising
  • Ground Control to Major Tom - Database down or nothing wrong?
  • Planning and Proving - How SQL Server runs Queries
Zamira Jaupaj
  • From Problem Solvers to Innovators: The New Role of Solutions Architects in the Age of AI
  • Navigating the Path to Becoming a Solutions Architect: A Comprehensive Session on Skills, Strategies
Andreas Jordan
  • "Deflate!": Detecting Buffer Pool Fragmentation in SQL Server
  • A flight recorder for the SQL Server: Creating the basis for performance analyses
  • Administration of SQL servers with PowerShell and dbatools: How to get started
show all submissions
Dhyanendra Singh Rathore
  • Enforcing Power BI Best Practices with Azure DevOps
  • Automated Data Validation in Power BI with Power Automate
Andrea Gioia
  • Managing data as a product
Nakul Pandey
  • AI-Driven Data Solutions on Microsoft Azure: Best Practices and Case Studies
Prashi Doval
  • Empowering Diversity and Inclusion at remote workplaces
Rob Litjens
  • What Query Languages and API are usefull?
Joshua Lee
  • Where’s the Auto in Auto-Instrumentation? A look at current automation strategies with OTel
  • The OpenTelemetry Hero’s Journey: Working with Open Source Observability
  • DevOps is a Foreign Language (or Why There Are No Junior SREs)
Joe Karlsson
  • How to Secure Azure by Building a Cloud Security Posture Management (CSPM) System in 15 Minutes
Nikolay Sivko
  • What Developers Should Know about Observability
  • Zero-instrumentation observability based on eBPF
  • Troubleshooting Microservice Architectures
Sally Dabbah
  • Step-by-Step Guide: Building ETL Workflows in Microsoft Fabric
Damir Matešić
  • JSON in the world of MSSQL
Vahid Doustimajd
  • The Art of Power BI Tenant Documentation: Using INFO DAX Functions and Power Automate
Jose Andres Rodriguez Perez
  • Unlocking the Secrets of Deploying API Connections with Bicep
  • Automating Custom Connector Deployment: Leveraging .NET and Dynamic Swagger with Azure DevOps
  • Mastering Azure Integration: From Client Website to Dynamics 365 with End-to-End Monitoring
Fabio Bonolo
  • The EU AI Act 2024: How Copilot and ChatGPT fare
  • M365 Copilot: New horizons with Power Platform and Copilot Studio
  • Data chaos reloaded: How a lack of data governance is slowing down Copilot
Indira Bandari
  • Creating a Microsoft fabric end to end solution
Sundeep Goud Katta, Lav Kumar
  • BrainBridge Azure: Merging Minds with the Cloud using Azure
  • Cyber Fortresses: AI-Powered Security for Search and Cache
Maja Spanic Kezan
  • Give your data the voice + what is behind the scene
Marisol Steinau, Sebastian Steinau
  • Fabric, Git, & Pipelines - A Chord in Harmony
Lisa Hoving
  • What my pet python taught me about Data Lakes on Azure
Sasi Teja K
  • Navigating the Modern Data Stack
Ignacio Barrau
  • Strategies for Effective Power BI Documentation
  • Getting started with Power BI Rest API with Python
Markus Franz
  • Power Apps community Forum and why it is a great place to be to learn and grow
Sigal Shaharabani
  • Streaming your database - Easier said than done?
Kim Berg
  • Innovating with Azure AI: A World of Possibilities
  • Navigating the Complexities of Industrial IoT
  • Productionize Machine Learning on Azure
Shakir Majeed Khan
  • Leveraging AI and CO Pilot in Power Platform
Juliana Smith
  • Implementing alternative accessible colours on Power BI reports
Markus Ehrenmueller-Jensen
  • My Perfect Date (Table)
  • Data Shaping for Power BI with SQL
  • FABRICate your Data Model
Konstantinos Passadis
  • Azure OpenAI: Creating Prompt Flows with Azure AI Studio Machine Learning
  • Microsoft Fabric & Content Safety: Analytics on Metadata
Els van Vessem
  • Gender, beyond 0/1
  • How are your workitems and pipelines doing? Reporting on Azure Devops
Hamish Watson
  • DevOps and FinOps: A Strategy for Cost-Effective Data Platforms
  • The intersection of artificial intelligence and testing data
  • Elevating Analytics: Integrating with Git and automation
Lee Markum
  • Modern SQL Server Features That Make Life Better
Destiny Jenkins
  • Leveraging Data & AI for Diversity, Equity and Inclusion Initiatives
Sanchit Srivastava
  • Modern Data Architecture - Gen AI empowered
Aditi Godbole
  • To AI or Not to AI: Is It the Right Solution for Your Problem?
  • Leveraging Synthetic Data to Enhance Enterprise Data
  • Data Privacy in LLMs: Challenges and Best Practices
Kevin Feasel
  • Getting Beyond the Basics with Azure Machine Learning
  • Data Virtualization in SQL Server 2022
  • Build a Data Application with Streamlit
Bobur Umurzokov, Ulugbek Ergashev
  • Automating compliance reporting using AI in Microsoft Azure
Anandaganesh Balakrishnan
  • Low latency Hybrid Data Pipeline Architecture for Trading and productivity improvements using AI
David Patrick
  • Getting Data from Dataverse inside of Teams
Jose Manuel Jurado Diaz, Juan Moreno Romo
  • A Hybrid SQL Journey: The daily routine of a Hybrid DBA
  • Query Store and Azure SQL Copilot, who is the fairest in the land?
Bhavik Shah
  • Integrating AI Leveraging Change Management Principles
  • Mental Health & Wellbeing: Preventing Burnout For All Employees
  • GEN-Z AND THE FUTURE OF WORK: FOSTER CULTURE CHANGE WITH AGILITY
Eitan Blumin
  • SSDT Methodologies for SQL Server DevOps
  • Database DevOps for Leaders
  • Maximizing ROI and Reducing Costs of SQL Server Hardware
Valentina Alto
  • Introducing GraphRAG: from retrieval augmented generation to graph-based knowledge embeddings
  • Design and build powerful LLM Agents
Torsten Strauß
  • Rapid SQL Database Development with SSDT Templates and Code Snippets
  • Examples of query tuning in Azure SQL
  • Row and Page Compression in Azure SQL
Pallavi Varandani
  • Data Constraints 101: The Guardians of Your Database
Navya Krishna Alapati
  • SQL Server Indexing Strategies using query store for Improved Performance
  • Advanced Techniques in SQL Server Performance & Optimization
  • High Availability and Disaster Recovery in SQL Server
John Miner
  • Effective Data Warehouse Storage Patterns
  • Explore your data lake with Synapse Serverless SQL Pools
  • Data Engineering with Microsoft Fabric
Paulina Jędrzejewska
  • The Sidekick's Guide to Supercharging Power BI Heroes
  • Give the Power to the Users
  • Calculation Groups & C# - The Perfect Couple
Surbhi Pokharna
  • Unleashing the Power of Azure SQL Database ‘Hyperscale’
  • SQL Server 2022: Advancing Modern Hybrid Relational Databases
Manpreet Singh
  • From Tedious to Terrific: Transforming Employee Experience with AI
  • Exploring Power Platform AI for Next-Generation Solutions
James Reeves
  • Mastering Data Integration: Building Robust Pipelines with Azure Data Factory
  • Excel: The Accidental DBA - Hacking CRUD with VBA, SQL, and AI Sidekicks
  • Guide to Building a Powerful Yet Cost-Effective Azure Data Platform
Kevin Chant
  • The hitchhikers guide to passing Microsoft Data Platform exams
  • Microsoft Fabric and its role in the Microsoft Intelligent Data Platform
  • Microsoft Fabric and Azure DevOps - The story so far
Andrew Madson
  • The Who, What, and Why of Data Lake Table Formats
  • Uncover insights in your complex data with graph visualization
  • Building and Scaling Analytics Products
Andrew Pruski
  • A deep dive into Docker
  • Running SQL Server on Linux
  • A deep dive into Kubernetes
Mitesh Mangaonkar
  • Unified Data Layer
Benjamin Peter
  • How to modernize your data platform
Shailvi Wakhlu
  • Mastering Self-Advocacy: A Blueprint
  • Preventing, Diagnosing & Curing Bad Data
Sofiia Alieva
  • End-to-end Data Flow in an R&D Organization
  • Data Democratization in Practice
Lakshmi Ponnurasan
  • Applying Psychology to Create Insightful Reports
  • The Designer's Toolkit: Essential Rules for Every Report
  • Supercharge your Power BI Dashboards with Powerviz visuals​
Klaus Aschenbrenner
  • Headache guaranteed: Deadlocking in SQL Server!
  • Myths and Misconceptions about Locking & Blocking
  • Docker for the SQL Server Developer
Dennes Torres
  • Deployment Pipelines with Power BI and Fabric
  • ML Prompt Flow: The CoPilot's King
  • Fabric Real-Time and CDC: Ingesting in Real Time from Azure SQL
Dominick Raimato
  • Simulating Scenarios with Power BI
  • Basics of connecting REST APIs to Power BI
Felix Mutzl
  • The enterprise architect’s view: AI builds business applications and deploys them on your data & AI
  • Democratising Data + AI: from small specialised teams to every knowledge worker in the organisation
Taiob Ali
  • SQL Server Detective: Investigating Logs and Traces for Optimal Performance
  • go-sqlcmd: A CLI for SQL Server and Azure SQL
Michał Dębski
  • Power BI Monitoring: From PBI REST API through DWH and back again to PBI
Lewis Prince
  • Machine Learning in PowerBI
  • Fast and Efficient Text Analysis using Azure's Language Cognitive Service
  • CoPilot Studio: Guiding Your Chatbot Takeoff with AI Aviation!
Sam Debruyn
  • From Flat to Sparkling: Monitoring Data Quality with Soda in Microsoft Fabric
  • From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine
  • Medallion for Data Mesh: Exploring Workspace, Capacity, and Domain Design in Microsoft Fabric
Daniel Rabiencný
  • AI in Microsoft Azure - what are the options?
Karim Ourtani
  • Implementing Feature Flags in Databases for Dynamic Product Management
  • Branching strategies 101 for data professionals
  • Applying effective Source Control to your Database System
Alexander Klein
  • How generative AI makes your life as a data engineer easier.
  • Think 10 minutes about how to deal with events
  • 10 minutes about generative AI for data engineers
Trey Johnson
  • Fabric and Microsoft Dynamics - Better Together!
Mike Conjoice
  • Unraveling the Complexity of AI Bias: Can Artificial Intelligence Ever Achieve True Neutrality?
  • Unlocking Data's True Potential: Navigating the Path to Real Business Value
Abhishek Dewangan
  • Harnessing Sustainability with Data, Analytics and AI
Miguel Félix
  • Dataflows Gen 2 - Is it so different from Gen1?
  • Direct Lake in Fabric: The next step in Semantic Models after Import and Direct Query
  • Demystifying Power BI Developer Mode for Business User
Alexander Korn
  • IBCS Power BI Generator: Fully Automated Report Creation
  • Power BI IBCS Wireframes
Harshavardhan Bajoria
  • Building and Deploying Serverless Web Applications with Microsoft Azure and Azure Static Web Apps
  • Beyond Boundaries: Azure AI for Next-Gen Applications
Warwick Rudd, Ginger Grant
  • Developing with Spark for Microsoft Fabric with Copilot
Jerome Klein
  • Daten Import und Visualisierung in Power BI für Anfänger
Pragati Jain
  • Fabric Powered Data Insights
  • Lessons Learned from my Power BI Journey
  • Demystifying Semantic Link in Microsoft Fabric
Abdul Ahad
  • The Developer's Garam Masala: Tools and Tricks for High Performance and Higher Wellbeing
Yitzhak David
  • Self AI in Power BI Desktop Using R, Python and OpenAI
  • Implementing Graphs SQL Server and Azure SQL
  • Power BI Machine Learning and OpenAI: The fast track & the complete guide
Mohammed Adnan
  • Data Security With Microsoft Fabric OneLake
Jon Vöge
  • Next-Gen Reporting: Extending Reports with Data-Driven Notifications for Instant Insights
  • Learn to create three types of low-code Power BI & Microsoft Fabric Extensions with Power Apps
  • Mastering APIs low-code style with Dataflow Gen2
Alex Dean
  • Fighting Foodwaste with Fabric and AI
  • Duck Tape Devops - A Fabric Journey
Andreas Bergstedt
  • Microsoft Fabric Architecture and Patterns
Arthur Graus
  • Introduction to Power Query Language M
  • Python in Fabric for Data Engineers: all you need to know
  • Getting started with Data Science in Microsoft Fabric
Amit Chandak
  • Hands on with Power BI Visual Calculations - a new DAX world to explore
Warwick Rudd
  • Navigating the Cloud: A Glimpse into Microsoft Fabric Administration
James Serra
  • Learning to present and becoming good at it
  • Enhancing your career: Building your personal brand
  • Deciphering Data Architectures (Modern Data Warehouse, Data Fabric, Data Lakehouse, Data Mesh)
Tori Tompkins
  • Leveraging Azure Machine Learning for LLMOps
Chris Durow
  • Graph-tastic Journeys: Navigating the webs of Ne04J and OpenAI in Azure
Valerie Junk
  • Paint it Black: Rocking Dark Mode Dashboards
  • From data to action: Driving decision-making with Power BI
  • Power BI – Designing for Accessibility
Olivier Van Steenlandt
  • Database Deployment Automation using Database Projects & Azure DevOps
  • SQL Server Data Tools & Azure DevOps - 101
  • Migrating from SSRS to Power BI Paginated Reports
Javier Villegas
  • Introduction to Microsoft Fabric - Data analytics for the era of AI
  • Introduction to Azure SQL
  • Introduction to SQL Server 2022
Abhilekh Verma
  • Advanced Microsoft 365 Mastery: Elevate Your Productivity
Emanuele Meazzo
  • RAG and Generative AI for the Data Professional
Armand van Amersfoort
  • Power BI and design are friends!
Haripriya Naidu
  • TempDB Contention: How to Identify and Resolve it
Rémy António
  • Bookmark Wonders: Unleashing Power BI’s Interactive Storytelling
Edward Pollack
  • Effective Public Speaking in Tech
  • Introducing the JSON Data Type in Azure SQL Database
  • All About Data Retention
Sergey Olontsev
  • Inside the Query Engine: Comparing PostgreSQL, MySQL, and SQL Server