Sessions tagged as 'Intelligence and Analytics'

A Data Engineer's Guide to Azure Synapse8th@09:00
A Day of Azure Data Explorer8th@09:00
Data Governance in a Nutshell – From Theory to Hands-On with Azure Purview8th@09:00
From 0 to DAX8th@09:00
How to build a data warehouse solution for your analytical workloads8th@09:00
Power BI - Zero To Dashboard 8th@09:00
Analytics at scale with Power BI and Azure Synapse9th@09:00
Cracking Power BI Performance Tuning in a day!9th@09:00
Get there faster with Machine Learning in Azure Synapse9th@09:00
Improve Power BI performance by optimizing DAX9th@09:00
Opening the Black Box - Machine Learning on Azure9th@09:00
The Day after Dashboard in a Day9th@09:00
The fundamentals of building a lakehouse with Synapse10th@10:10
Why star schema is your best choice in Power BI10th@10:10
How to Run a Successful AI Project10th@11:30
Overview of Azure Synapse Analytics10th@11:30
Empowering every individual with Power BI10th@12:00
Heathrow’s Data Transformation – How to rapidly build out a data engineering function10th@12:00
Lessons in Lakehouse Automation10th@12:00
Low-Code Data Preparation using Power Query Dataflows10th@12:00
Real-world AI Architectures10th@12:00
Power BI Performance Analyzer crash course10th@13:40
The Dream Team: Synapse Analytics Serverless SQL Pools and Pipelines10th@13:40
About time: how to work with timeseries in Azure10th@14:10
ksqlDB - The Real-Time Streaming Database10th@15:20
Power BI Map Magic - Make amazing maps with Power BI10th@15:20
Reporting on 1.4B rows with Serverless SQL Pools10th@15:20
Talk data to me: How to tell compelling stories to non-technical people10th@15:20
What makes Databricks a powerful Machine Learning tool?10th@15:20
10 tips for a successful migration from Databricks and ADF to Synapse10th@16:40
Five steps to create a data-driven culture10th@16:40
Managing Power BI workspaces10th@16:40
VertiPaq Analyzer crash course10th@16:40
Azure Data Factory, Azure Logic Apps and Power BI for everyone10th@17:10
Big data analytics with Power BI10th@17:10
Docker & Kubernetes for the Data Scientist10th@17:10
Implementing a Data Quality Framework in Purview11th@10:10
Power BI Security and Governance Pitfalls and How to Avoid Them11th@10:10
Storytelling With Data11th@10:10
Unified insights and staying ahead of performance issues all within a single view for Hybrid Env11th@10:10
Digital Twins - The need for connected data11th@11:30
How to Choose an ML Platform11th@11:30
Power BI Licensing in 20 Minutes11th@11:30
Enabling teams with Power BI11th@12:00
Machine Learning on the SQL Server Platform11th@12:00
Power Platform Better Together: Create a Scoring App with a Live Dashboard11th@12:00
The Evolution of Data Platform Architectures in Azure - Lambda, Kappa, Delta, Data Mesh11th@12:00
AutoML: An Introduction To Get You Started11th@13:40
Roche's Maxim of Data Transformation11th@13:40
Ambush Assassins: Secret killers of your Power BI performance and how to deal with them11th@14:10
Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer11th@14:10
BI Power Hour11th@14:10
Keeping your data fresh in Power BI11th@15:20
Machine Learning in Azure Synapse11th@15:20
Power BI Governance: 6 steps to success11th@15:20
Azure Data Engineering services used to analyze data11th@16:40
Cosmos 10111th@16:40
When you should avoid using bidirectional filters in Power BI11th@16:40
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
Power BI Development on Steroids11th@17:10
SQL Server and Intel: Unlock Better SQL Performance and Scalability11th@17:10
Advanced data modeling with Power BI12th@08:00
Practical Lakehouse implementation in the enterprise12th@08:00
Beyond Buttons: More Than Meets The Eye12th@09:30
Building the Lakehouse Architecture with Azure Synapse Analytics12th@09:30
Complex access in Power BI with Row-Level Security12th@09:30
What is Azure Purview and Why Do I Need It?12th@09:30
Introducing Synapse Analytics Data Explorer pools12th@10:50
Synapse Data Flows - Will Citizen ETL Replace the Data Engineer?12th@10:50
UI/UX in PowerBI12th@10:50
Data Governance with Azure Purview - Theory, Customer Insights and Demos12th@11:20
Data Science and Analytics: Real-World Experience from Diverse voices in the field12th@11:20
Monster Data Loading with Synapse12th@11:20
Optimising Power BI Reports for Mobile12th@11:20
Performance Tuning Power Query And Dataflows In Power BI12th@11:20
Business Architecture and Power BI12th@12:50
Five steps to create a data-driven culture12th@12:50
Hunting for fraud with Benford's law in R12th@12:50
Optimisation in Business12th@12:50
PBI Premium Gen2 or: how I learned to stop worrying and love vertipaq12th@12:50
Enterprise Scale Analytics - What's in it for me12th@13:20
The Fundamentals of DAX Contexts12th@13:20
EDW Automation in Synapse SQL Pools12th@14:40
Hitting Top Speeds with Spark SQL in Azure Synapse12th@14:40
Azure Machine Learning for everyone12th@15:50
Unified insights and staying ahead of performance issues all within a single view for Hybrid Env12th@15:50
What to tell your security team about Power BI?12th@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.

15 Years

We’ve grown and expanded a lot since 2007.

2500 Participants

SQLBits is the best place to meet fellow data professionals.

82 Countries

We welcome data professionals from all over the globe.

1140 recorded sessions

All the live sessions are recorded and offered for free, year round.

Experience the SQLBits Conference


Want to be part of the SQLBits community?

Attend the London conference in-person or virtually on 

March 8-12, 2022 at ExCel London, UK.