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A low cost serveless synapse data platform Eivind Halmøy Wolden
If you like writing SQL and need a cheap data platform in Azure, this session is for you. This session will describe the architecture for a metadata driven, minimalistic Azure data platform using Synapse Analytics (serverless SQL) and data lake. You will get to know when this works well, and when it does not.
The video is not available to view online.
ADX and the last crusade Frank Geisler
Introductory session to Azure Data Explorer that shows some examples how to set up ADX and how to use it.
The video is not available to view online.
Azure Data Explorer - a Torch in the Dungeon of Observational Analytics Pawel Potasinski
Join this session to learn what Azure Data Explorer (aka Kusto) is, see it in action and get a quick start in this great platform for observational analytics.
The video is not available to view online.
Become a Power BI Data Modeling Wizard using Tabular Editor 3 Morten Lønskov
In this quest, we will investigate what kind of tool Tabular Editor is and how it can help you become a more efficient Power BI Wizard
The video is not available to view online.
Behind the Hype - Architecture Trends in Data Simon Whiteley
In this session, seasoned data engineer and youtube grumbler Simon Whiteley takes us on a journey through the current industry trends and buzzwords, carving through the hype to get at the underlying ideals.
The video is not available to view online.
Business Benefits of Good Governance Dr. Victoria Holt
Data Governance is an enabler. Explore what the new world of Data Governance is and how we help businesses understand the benefits, why it is important, and how to get started in simple agile steps and where Microsoft Purview fits.
The video is not available to view online.
Columnstore Index Compression in a Nutshell Edward Pollack
Improve analytic queries by unlocking the secrets of columnstore compression!
The video is not available to view online.
Data Observability with HEDDA.IO Tillmann Eitelberg
Are you able to fully understand the state of your data in your systems? Are you able to evaluate the quality of your data in all processes? In this session you will learn how easy it is to integrate HEDDA.IO into your existing processes, how it can provide you with a continuous view of the quality of your data and how it can inform you directly in the event of errors, warnings or major changes to individual parameters. HEDDA.IO brings data observability to your process and platforms.
The video is not available to view online.
Declarative ETL pipelines with Delta Live Tables Vuong Nguyen
Modern software engineering and management for ETL, so data analysts and engineers can spend less time on tooling and focus on getting value from data.
The video is not available to view online.
Gathering Requirements for your Star Schema Johnny Winter
How you can collaboratively design a dimensional model with your business users
The video is not available to view online.
Govern your self-service integration processes Tillmann Eitelberg
Gain insight into how data can be loaded, processed, and uploaded to other environments in a self-service process from a wide variety of environments in a fully controlled and audited manner. Whether SQL Server, Data Lake, Delta Lake, SAP HANA or many other data sources and targets, WOODY.IO helps you implement clear governance processes into your self-service integration processes.
The video is not available to view online.
How Do I Reduce My Cloud Bill? Joey D'Antoni
Learn some of the root causes of high cloud bills and what you can do to solve them.
The video is not available to view online.
Integrate Data Quality into your processes Tillmann Eitelberg
HEDDA.IO is a central data quality management solution that connects departments, data stewards and data engineers. It helps to easily integrate standardization, cleansing, matching and enrichment tasks into existing processes.
The video is not available to view online.
Knee-Deep In Tech Live @ SQL Bits Alexander Arvidsson
Be part of a live audience recording of an episode of Knee-Deep in Tech!
The video is not available to view online.
Lessons learned from optimizing enterprise data models Nikola Ilic
What should you do when DirectQuery is the ONLY available option? How to reduce the data model size, while at the same time satisfying business requirements? I'll share tips, tricks and workarounds learned and implemented in real-life scenarios on enterprise data models.
The video is not available to view online.
No more data quality surprises in your Databricks, Synapse or Power BI solutions! Dave Ruijter
In this demo-rich session you will learn how you can implement a framework for data quality validation and monitoring, spanning your end-to-end data platform including Power BI!
The video is not available to view online.
Power BI Datamart - What, How and Why? Marthe Moengen
In this short session, we will go through the what, how and why of Power BI Datamarts. What is this feature you can find in Power BI Service? How can you use it to model your data, improve control and enable self-service? Why should you use Power BI Datamarts?
The video is not available to view online.
The Metadata Driven Data Warehouse Ruth Pearson
Tired of writing the same old Insert/Update/Delete statements over and over? Is your pipelines folder overflowing? Need to get your new data warehouse up and running as fast as possible? Metadata (data about data) comes to the rescue and in this session we’ll show you how.
The video is not available to view online.
"Cultivating the Catalogue" - Growing Data Governance with Azure Purview Craig Porteous
Providing a business with an organized and propagated data catalogue is essential with ever growing demands and questions about your data platform. How are your data assets organised and how can you track lineage? In this session we will demonstrate how data landscaping can be achieved with Azure Purview and how business terminology and ownership can be assigned throughout.
The video is not available to view online.
10 tips for a successful migration from Databricks and ADF to Synapse Dave Ruijter
Are you planning a migrating of your data platform to Azure Synapse Analytics? Is it currently based on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage? Make sure to grab these 10 tips! We'll talk about Spark compatibilities, orchestration pitfalls and solution deployment differences.
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