Sessions tagged as 'Developing'

A Day of Azure Data Explorer8th@09:00
Beginner's Guide to Data Integration using Azure Data Factory or Azure Synapse Analytics8th@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
Analytics at scale with Power BI and Azure Synapse9th@09:00
Azure Data Integration Pipelines - Advanced Design and Delivery9th@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 Professional Performance Tuning Blueprint9th@09:00
Azure SQL availability and resiliency for non-stop applications10th@10:10
Enterprise Row Level Security in SQL Server and Power BI10th@10:10
Flyway: An Evolution in Database Deployments10th@10:10
Partitioning for Beginners10th@10:10
The fundamentals of building a lakehouse with Synapse10th@10:10
Why star schema is your best choice in Power BI10th@10:10
Building your first Metadata Driven Azure Data Factory10th@11:30
Creating Tables In Power Query And M Using #table()10th@11:30
Overview of Azure Synapse Analytics10th@11:30
Database Projects 101 in ADS10th@12:00
Different dimensions of monitoring and tuning performance for Azure SQL10th@12:00
Empowering every individual with Power BI10th@12:00
Lessons in Lakehouse Automation10th@12:00
Low-Code Data Preparation using Power Query Dataflows10th@12:00
Notebooks - standardized enterprise solution for better story telling.10th@12:00
Patterns for Master Data Management in Azure10th@12:00
Introduction to continuous integration and delivery with Azure DevOps (20 min edition)10th@13:40
Power BI bookmarks in 20 minutes10th@13:40
Power BI Calculation Groups10th@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
Cost cutting strategies for Azure Cosmos DB10th@14:10
Developer Enhancements in SQL Server 202210th@14:10
Finding and Fixing T-SQL Anti-Patterns with ScriptDOM10th@14:10
Jamstack Foundations: Building Scalable API from the Ground Up10th@14:10
Power BI Charticulator10th@14:10
Database Reliability Engineering - the new DBA?10th@15:20
Enterprise and multi-tier Power BI deployments with Azure DevOps.10th@15:20
How to Build Secure, Scalable, and Highly Available Applications with Azure SQL Database10th@15:20
ksqlDB - The Real-Time Streaming Database10th@15:20
Microsoft Database Innovations: SQL Server, Azure SQL, open-source and beyond10th@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
10 tips for a successful migration from Databricks and ADF to Synapse10th@16:40
Data Engineering the Hard Way: Developing Spark Applications on Kubernetes10th@16:40
VertiPaq Analyzer crash course10th@16:40
Creating a Metadata Driven Orchestration Framework Using Azure Data Integration Pipelines10th@17:10
Docker & Kubernetes for the Data Scientist10th@17:10
Looking under the hood of the parquet format10th@17:10
Migrate traditional DW transformations to Spark/Scala10th@17:10
An evening with Power BI CAT team10th@18:15
.NET development stack for Azure SQL: SqlClient 4.0 and EF Core 611th@10:10
3 things you don’t want to store in a database (but sometimes have to)11th@10:10
Storytelling With Data11th@10:10
An Introduction to Lambda Architectures11th@11:30
Benefits of Using Version Control In Database Development11th@11:30
Digital Twins - The need for connected data11th@11:30
How to Choose an ML Platform11th@11:30
Leveraging Apache Spark for Efficient Data Encryption at Scale11th@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
Embedding SQL security practices in your pipelines11th@12:00
Enabling teams with Power BI11th@12:00
How to build HTAP workloads using Azure Cosmos DB and Azure Synapse Link11th@12:00
Lake Database with Database Template and Mapping Data with Azure Synapse Analytics11th@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
0 to an fully functional teams bot in 20 minutes!11th@13:40
Roche's Maxim of Data Transformation11th@13:40
What SQL Server database can tell us about application issues?11th@13:40
5 Power Automate flows that could give immediate value in your organization11th@14:10
Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer11th@14:10
Data Exposed Live | Azure SQL News Update11th@14:10
Modern database design (anti)patterns11th@14:10
Modern T-SQL for Better Performance11th@14:10
Scaling applications on Azure SQL Hyperscale11th@14:10
The SQL Server Performance Tasting Menu11th@14:10
Here’s the execution plan … now what?11th@15:20
Keeping your data fresh in Power BI11th@15:20
Machine Learning in Azure Synapse11th@15:20
Power BI Composite and Advanced Models11th@15:20
2 Fast 2 Furious - designing for speed, concurrency, and correctness (20 min edition)11th@16:40
Architectural blueprints for the Modern Data Warehouse11th@16:40
Azure Data Engineering services used to analyze data11th@16:40
Cosmos 10111th@16:40
How To Use Azure Managed Identities11th@16:40
When you should avoid using bidirectional filters in Power BI11th@16:40
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing Startup11th@17:10
Power BI Development on Steroids11th@17:10
What I’m telling your developers about DevOps11th@17:10
When to stop tuning a query11th@17:10
Why is understanding Kubernetes important for your career as a Data Professional?11th@17:10
Advanced data modeling with Power BI12th@08:00
Evolving your Power BI Architecture using Dataflows and Shared Datasets12th@08:00
Fundamentals of Stored Procedures12th@08:00
Less Clicking, More Coding! Data Platform Development Using Infrastructure as Code12th@08:00
Practical Lakehouse implementation in the enterprise12th@08:00
Azure DevOps trio12th@09:30
Building the Lakehouse Architecture with Azure Synapse Analytics12th@09:30
Dedicated SQL Pools : How some stuff 'really' works12th@09:30
Don't Bite Off More than You Can Chew - Take it in Chunks12th@09:30
Introducing Synapse Analytics Data Explorer pools12th@10:50
Limiting permissions in Dynamic SQL with Execute As12th@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
Optimising Power BI Reports for Mobile12th@11:20
Azure Data Engineer Skills for Success12th@12:50
Azure SQL Database customer success stories for IoT workloads12th@12:50
Hunting for fraud with Benford's law in R12th@12:50
PBI Premium Gen2 or: how I learned to stop worrying and love vertipaq12th@12:50
Azure Container Apps for Data Engineers12th@13:20
Enterprise Scale Analytics - What's in it for me12th@13:20
Selecting the correct Azure Data Solution for your application12th@13:20
The Fundamentals of DAX Contexts12th@13:20
The modern Cloud Data Warehouse - Snowflake on Azure12th@13:20
EDW Automation in Synapse SQL Pools12th@14:40
Intelligent Query Processing12th@14:40
The "Meta-verse" - Using metadata to build your pipelines in less than 20 min12th@14:40
Moving away from One Model to rule them all12th@15:50
Run your SSIS packages in Azure Data Factory12th@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.

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