Toggle navigation
Sponsors
Sponsors
Sponsorship
Videos on Demand
It appears that your browser does not support JavaScript, or you have it disabled. This site is best viewed with JavaScript enabled. If JavaScript is disabled in your browser, please turn it back on then reload this page. If your browser does not support JavaScript,
click here for a page that doesn't require javascript
.
Home
Sessions & Content
Sessions & Content
Search
Content Type
Video
32
Conference
SQLBits I
0
SQLBits II
0
SQLBits III
0
SQLBits IV
0
SQLBits V
0
SQLBits VI
0
SQLBits VII
0
SQLBits VIII
0
SQLBits IX
0
SQLBits X
0
SQLBits XI
0
SQLBits XII
0
SQLBits XIV
0
SQLBits XV
0
SQLBits 2017
0
SQLBits 2018
0
SQLBits 2019
0
SQLBits 2020
32
SQLBits 2022
0
>
Tags
Data transformation and integration
(32)
5 Mistakes in Cloud Data Migration
Justin Langford
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
Azure AI, Power new possibilities for every organization
Lindsey Allen
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
Azure Data Factory patterns and best practices
Shirley Wang
Azure Data Factory is a cloud native ETL service built for all data integration needs and skill levels. You can easily construct ETL and ELT processes code free or write your own code.
Azure Functions for Cloud-based ETL processes
Benjamin Kettner
Learn how and where to use Azure Functions in cloud-based ETL processes
Azure: Maxmise your bang for Buck
Justin Langford
Considerations in how you buy Azure to provide maximum bang for buck
Build Killer Knowledge Mining Apps with Cognitive Search
Luis Cabrera-Cordon
Come learn how you can convert you data into structured formats, apply machine learning skills and index it to make it easy to find information and relationships that can save you time and money.
Building a Modern Enterprise BI in a Mobile Games Company
Raúl Jiménez Aguilera
How does a Modern Enterprise BI Architecture with Power BI, SQL Server, Hadoop and Azure look like? Visit my talk and I will show you how we at InnoGames put all these components together to simply make better decisions.
Building a secure data solution using Azure Data Lake
Carmel Eve
In this session we'll focus on the benefits of using Azure Data Lake. We will cover how we use ADLS in real projects to produce a security architecture which is adaptable, scalable and provides monitoring capabilities.
Combatting illegal fishing with Azure for less than £10/mth
Carmel Eve
We will see how to construct a cloud-first architecture based on serverless data analytics. We will look at specific challenges and cost saving strategies, to produce a reliable, scalable and cost effective solution!
Common Data Model-Our new buddy for Data Governance
Oliver Engels
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
Data Exploration & Experimentation with Notebooks in Azure
Ian Griffiths
Learn how Azure supports interactive, exploratory notebooks (e.g. Jupyter) for data processing and experimentation across a range of scales from simple single-computer work up to massively parallel Databricks clusters.
Deep Dive into the Common Data Model
José Mendes
Deep dive into the Common Data Model world and learn how to deploy, extend and use it along with other Microsoft technologies like Power Apps, Power BI Dataflows and Azure Databricks.
Democratizing Self-Service Data Preparation within Power BI
Ben Sack
Everything you need to know about dataflows & how to easily prep your data, leverage Microsoft’s standardized schema (CDM), improve time-to-value, eliminate data silos, & create one source of truth for your organization.
ETL in Azure Made Easy with Data Factory Data Flows
Paul Andrew
What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
Faster SSIS
Andy Leonard
Learn tips and tricks to make SSIS perform better.
Lets do the cleansing with M and / or Python languages
Ana Maria Bisbe York
This short session will cover some scenarios of cleansing data in Power Query using M, Python, or both languages.
Lets play with a date field & Time Intelligence in Power BI
Ana Maria Bisbe York
Date fields play an important role in virtually all cases of advanced analytics. The "problem & solution" style session can be very useful given the large number and variety of scenarios that may arise
Life Hacks: dbatools edition
Jess Pomfret
dbatools is an open source PowerShell module. This session will walk through several life hacks that you can take back to work and quickly implement to make your life easier and impress your friends.
Microsoft certifications for the Data & AI professional
Sandra Marin
Are you looking to take your career to the next step? Microsoft Certifications help validate knowledge and ability required to perform current and future industry job-roles in a modern digital business. Our certification
Navigating the Bewildering Array of Data Services in Azure
Ian Griffiths
Azure's breadth of products can make technology selection a challenge. Learn how to make pragmatic and informed choices that meet your application's data transformation, processing and storage requirements.
Performance Optimization with Azure Databricks
Richard Conway
Azure Databricks has become one of the staples of big data processing. See how to make the most of it by understanding how Spark works under the covers.
Rebooting your SME Data Analysis Strategy
Mark Hayes
A review of how the Power Platform can be adopted by an organization to successfully meet their data needs. Based on real-world implementations with customers.
Scala for Big Data the Big Picture
Anna Wykes
An opportunity to explore Scala, and why it is truly a “Data Engineers language”. Using Azure Functions, Data Factory, Azure Data Lake Gen2 and Databricks the basics will be explored, followed by real world examples
Simplify your ETL with Databricks Delta Lake
Piotr Mucha
Databricks Delta Lake brings new levels of reliability and transformation abilities to big data solutions. Come and learn how you can simplify your ETL and maximise data consistency and resilience, no matter the size
Slowly Changing Dimensions made Easy with Durable Keys
Niall Langley
In this session we look at a simple way to implement Kimball durable keys on a SCD2 dimension. This provides an easy, performant, way to support reporting on data using historical and current hierarchies.
Stop Tuning Queries and Start Tuning Your Workload
Erin Stellato
This session will discuss how to look at your workload holistically using a variety of methods, so that you can target and address patterns in your code and query plans, rather than troubleshooting one query at a time.
Stop waiting to explore your data: use Azure Data Explorer!
Jason Bonello
See how we can address the problem of real-time analysis, on data in its raw form, without going through the whole ETL/ELT process, using Azure Data Explorer. We will also explore this solution in a demo!
Test Driven Development in SQL Server, safer code deploys
Hamish Watson
Testing data in SQL Server is hard, but it is easier than having to restore your database. This session will show how easy it is to test database code using industry frameworks, tools and processes
The Modern Data Platform: Automate Everything
Angus Mack
Automation for deploying, monitoring and alerting in a data lake data platform using Terraform, DevOps, Application Insights, Log Analytics and PowerBI.
Using Azure DevOps for Azure Data Factory
Paul Andrew
DevOps as a concept does not always translate to the technology when implemented. In this session we'll explore that problem when working with Azure Data Factory and what the different cloud only CI/CD options are.
When and how to migrate to Azure Synapse?
Kamil Nowinski
The session is for everyone who knows the data warehousing concept and wants to broad theirs horizons with modern capabilities of processing the data at scale.
Why You Need Query Store
Erin Stellato
If you have heard about Query Store but don't know what it can offer, or why you really need it, this session will answer those questions and demonstrate the value of this feature that continues to evolve.
<<
1
>>