SESSION TAGS

Sessions tagged as 'Beginner'

SessionWhen
A Data Engineer's Guide to Azure Synapse8th@09:00
Beginner's Guide to Data Integration using Azure Data Factory or Azure Synapse Analytics8th@09:00
Data Governance in a Nutshell – From Theory to Hands-On with Azure Purview8th@09:00
From 0 to DAX8th@09:00
Power BI - Zero To Dashboard 8th@09:00
Power BI data visualizations & storytelling8th@09:00
Professional Azure DevOps for the real-world8th@09:00
Automate your DBA tasks with dbatools and dbachecks9th@09:00
Get there faster with Machine Learning in Azure Synapse9th@09:00
Opening the Black Box - Machine Learning on Azure9th@09:00
How to Troubleshoot SQL Server CPU Problems10th@10:10
Maximise your personal finance to achieve financial freedom.10th@10:10
Partitioning for Beginners10th@10:10
The fundamentals of building a lakehouse with Synapse10th@10:10
$%*# I Learned Working for Denny Cherry10th@11:30
Field Testing Ola Hallengren’s Maintenance Solution10th@11:30
How to Run a Successful AI Project10th@11:30
Learning to Listen - Making the Most of Mentoring10th@11:30
Overview of Azure Synapse Analytics10th@11:30
The Serverless Azure Database10th@11:30
Why You Need Query Store10th@11:30
300-Level Guide to Career Internals: Planning Your Career10th@12:00
Database Projects 101 in ADS10th@12:00
Empowering every individual with Power BI10th@12:00
Heathrow’s Data Transformation – How to rapidly build out a data engineering function10th@12:00
Notebooks - standardized enterprise solution for better story telling.10th@12:00
SQL Storage Fundamentals for Azure VMs10th@12:00
Digital detox yourself - be online whilst you're offline10th@13:40
Introduction to continuous integration and delivery with Azure DevOps (20 min edition)10th@13:40
Microsoft's Hybrid Data Strategy10th@13:40
Power BI bookmarks in 20 minutes10th@13:40
Power BI Performance Analyzer crash course10th@13:40
Top Five Disasters we've dealt with in our time as DBAs10th@13:40
About time: how to work with timeseries in Azure10th@14:10
From Housekeeping to Data Engineer - My journey to find my passion10th@14:10
Maximising everyone's super powers - Panel discussion10th@14:10
Power BI Charticulator10th@14:10
Secrets of Effective Time Management10th@14:10
There is a time and a place for everything10th@14:10
Database Reliability Engineering - the new DBA?10th@15:20
Introduction to Bicep for the Cloud DBA10th@15:20
Talk data to me: How to tell compelling stories to non-technical people10th@15:20
10 tips for a successful migration from Databricks and ADF to Synapse10th@16:40
6 Tips for Building Confidence as a Public Speaker10th@16:40
Asking questions to get meaningful answers10th@16:40
Five steps to create a data-driven culture10th@16:40
From bank clerk to Microsoft MVP in 6 years - my journey!10th@16:40
Power BI Adoption Roadmap: A Whirlwind Tour10th@16:40
VertiPaq Analyzer crash course10th@16:40
Azure Data Factory, Azure Logic Apps and Power BI for everyone10th@17:10
Data Lakehouse, Data Mesh, and Data Fabric (the alphabet soup of data architectures)10th@17:10
Get Microsoft Certified. This is what you need to know10th@17:10
Run Azure Data Services Anywhere with Azure Arc!10th@17:10
An evening with Power BI CAT team10th@18:15
How to Unlock the Power of Trust to Build the Perfect Agile Team in Record Time11th@10:10
Power BI Security and Governance Pitfalls and How to Avoid Them11th@10:10
An Introduction to Lambda Architectures11th@11:30
Benefits of Using Version Control In Database Development11th@11:30
Creating Room for All Voices11th@11:30
Digital Twins - The need for connected data11th@11:30
Erin & Monica’s Favorite SQL Stuff11th@11:30
Lessons learned from managing Azure Data platforms! Put your data hat on!11th@11:30
Power BI Licensing in 20 Minutes11th@11:30
Why you should care about Data Community and how the community cares about you11th@11:30
Apache NiFi 101: Introduction and Best Practices11th@12:00
Diversity Equality and Inclusion Panel11th@12:00
Enabling teams with Power BI11th@12:00
Lake Database with Database Template and Mapping Data with Azure Synapse Analytics11th@12:00
SQL Server in Azure Virtual Machine Reimagined11th@12:00
0 to an fully functional teams bot in 20 minutes!11th@13:40
10 Productivity tools in 20 minutes11th@13:40
AutoML: An Introduction To Get You Started11th@13:40
How to avoid the most common junior mistakes11th@13:40
Intersectionality: The new Diversity, Inclusion and Equality11th@13:40
Meet SQL Server audit and compliance requirements for all instances across your enterprise11th@13:40
Spring clean your data lake with Database Templates for Synapse Analytics11th@13:40
5 Power Automate flows that could give immediate value in your organization11th@14:10
BI Power Hour11th@14:10
Building a Consulting Practice - Services, Sales and Marketing11th@15:20
Getting Started with Amazon RDS for SQL Server11th@15:20
Lightning Talk - Friday11th@15:20
Machine Learning in Azure Synapse11th@15:20
So you want to be a Data Engineer?11th@15:20
Your Performance Tuning Check List11th@15:20
Architectural blueprints for the Modern Data Warehouse11th@16:40
Azure Data Engineering services used to analyze data11th@16:40
Cosmos 10111th@16:40
Handle Azure SQL Auditing with Ease11th@16:40
Troubleshoot Real-World Scenarios with Extended Events11th@16:40
"Cultivating the Catalogue" - Growing Data Governance with Azure Purview11th@17:10
Azure SQL Network Security11th@17:10
Designing Data Visualisations that can be understood "in the blink of an eye"11th@17:10
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing Startup11th@17:10
Why is understanding Kubernetes important for your career as a Data Professional?11th@17:10
Fundamentals of Stored Procedures12th@08:00
Practical Lakehouse implementation in the enterprise12th@08:00
Troubleshoot and Triage Like a Pro12th@08:00
Unleashing your personal superpower12th@08:00
AMA with the Microsoft Engineering team hosted by Bob Ward12th@09:30
Beyond Buttons: More Than Meets The Eye12th@09:30
How Managers Can Support Their Employee’s Mental Health12th@09:30
Power BI dataflows? Why you need to implement it!12th@09:30
What is Azure Purview and Why Do I Need It?12th@09:30
(Almost) all about Azure Arc - in 20 Minutes12th@10:50
Gathering Report Requirements12th@10:50
Introducing Synapse Analytics Data Explorer pools12th@10:50
Introduction to PowerShell12th@10:50
Let's Talk Storage!12th@10:50
Limiting permissions in Dynamic SQL with Execute As12th@10:50
Sensitivity labels - what do they look like12th@10:50
Stop Doing Stupid $%^--How Not to Secure Your Environment12th@10:50
Synapse Data Flows - Will Citizen ETL Replace the Data Engineer?12th@10:50
UI/UX in PowerBI12th@10:50
What they should have told me about being a DBA12th@10:50
Automate the deployment of Databricks components using Terraform12th@11:20
Azure Synapse Analytics Pipelines: a 360-degree view12th@11:20
Data Governance with Azure Purview - Theory, Customer Insights and Demos12th@11:20
Meet SQL Server audit and compliance requirements for all your instances across your enterprise12th@11:20
Azure Data Engineer Skills for Success12th@12:50
Diversity, Equity and Inclusion Panel -- Navigating the Storm12th@12:50
Five steps to create a data-driven culture12th@12:50
Hunting for fraud with Benford's law in R12th@12:50
Is HTAP the future?12th@12:50
Testing! We're Talking About (Unit) Testing!12th@12:50
Brilliant Brains - Embracing Neurodiversity12th@13:20
Enterprise Scale Analytics - What's in it for me12th@13:20
SQL Assessment - Microsoft's Best Practices Checker12th@13:20
The Art of Storytelling in Tech12th@13:20
The Fundamentals of DAX Contexts12th@13:20
The modern Cloud Data Warehouse - Snowflake on Azure12th@13:20
Migration to Azure Customer Experiences & Best Practices12th@14:40
What's new in SQL Tools12th@14:40
Women in Tech: Keys to a Successful Career Panel Discussion12th@14:40
Automate management tasks using elastic jobs in Azure SQL Database12th@15:50
Azure Machine Learning for everyone12th@15:50
How I Deal with Depression12th@15:50

The SQL Bits Story

SQLBits was formed in 2007 by a group of volunteers who were passionate about the SQL Server product suite and wanted to provide much-needed community-driven education to the data community.

As one of the largest data platform conferences in the world, we offer more opportunities to a wider audience.

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