SESSION TAGS

Sessions tagged as 'Developing'

SessionWhen
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.

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