Microsoft provides a cloud hosted Jupyter Notebook solution with Azure Notebooks, which offer minimal overhead and opportunities for collaboration.
Data can be viewed as having a product lifecycle, where it can be collected, analysed, visualized, utilized and then monetized. This session is focused more on the destination of the data, rather than the journey.
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.

Excel has always been the tool of choice for the finance team with the flexibility it provides for logic, formatting and presentation of numbers. But this flexibility has also caused Governance nightmares, performance issues and huge risks with manual processes. Is it possible to also achieve the desired outcomes and flexibility with Power BI whilst also having all the benefits of working in a more controlled, automated and feature-rich environment? Yes! In this session Rishi will show how you can have your finance cake and eat it, showing how to build dynamically formatted financial statements , waterfall charts and KPIs in Power BI to tell an engaging story with finance data.

Join this session to learn the key steps in designing a data model: Know Your Audience (KYA), Complete a Scoping Template, Define the data granularity/scope and design a conceptual model. We will use time-tested methodologies based on Kimball Data modelling techniques, including a Bus Matrix and Starnet, complete with templates available for you to freely download.
Are you thinking about running SQL Server in Kubernetes and don’t know where to start…are you wondering what you really need to know? Then this is the session for you.
You’ve heard the buzz about containers and Kubernetes, now let’s start your journey towards rapidly deploying and scaling your container-based applications in Azure
The most challenging area of machine learning are Data acquisition, Feature extraction, Feature Selection. Almost in all data science project, 80% of time people spend in Data acquisition and Feature engineering.
Isn't it awkward when someone asks you, "So, where do you see yourself 5 years from now?" Brent Ozar will share how he analyzed the data job market to build his career path.
This session covers all kinds of T-SQL tips and tricks, focusing on backdoors and workarounds for restrictions and missing features in SQL Server and Azure SQL Database.
The example in this session is about the evaluation of the service quality of the #SQLKellner. It explains step by step how to assemble all components to get a "Service AI Power App" that runs on every device.
Let's learn about what Always Encrypted is, how it works, and the implications for your environment. By the end you will know how to now easily encrypt columns of data and just as importantly how to unencrypt.
Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!
So your company has no budget for fancy 3rd party tools. Don’t worry, the SQL community has got your back. Come and hear about the many free tools available to data professionals that will help you in your daily life.
Learn to make better analytic solutions by following current thoughts on data modeling.
Every new release of SQL Server brings a whole load of new features that an administrator can add to their arsenal of efficiency. SQL Server 2019 has introduced many new features. Here is a glimpse of the features we wil
We will see two important case studies where the optimizer is obviously a criminal who has killed the query performance. We will together with carefully investigate inside the query optimizer understand the reason.
M is the formula language behind Power Query. Any transformation you apply to your data is translated into M code.  Knowledge of this language opens doors that remain closed if you only use the GUI.
Authentication and security in Azure use a different model. In this session you will learn how that works, and how to make it work for you applications.
This session is for all developers who want to learn about the new Dev features and enhancements of SQL Server 2017 and 2019
A demo's filled session packed with tips and tricks to show how to transform usual Power BI reports to stunning reports
Join John as he introduces Terraform as a cloud agnostic management interface for taking a code first approach to cloud infrastrucutre deployments.
In this session, we will discuss the basics of IA and how we can apply it in our business using the Azure Machine Learning Services
You are a developer and you want to leverage the 'Power' features in Azure DevOps via YAML pipeline as code, then this session is for you !
When you design and build an application, do you think about security first or is it an afterthought? In this talk, you will learn strategies for designing and securing your data layer.
In this session you'll learn some of the key data privacy problems facing database developers and DBAs and 10 steps to help your database team build a "defensible position" through development.
This talk sets out to explain some of the terminology, the differences and the similarities between Oracle and SQL Server and hopefully make Oracle not look quite so intimidating.
In this 20 minute session we will have an overview and demos of Dynamic Data Masking which allows us to obfuscate data in real time
Use Performance Analyzer and DAX Studio to find the performance bottleneck in a slow Power BI report.
Create the right Date table and use DAX time intelligence functions or custom filters to get the desired calculation aggregating and comparing data over time.
Learn how to read the information provided by VertiPaq Analyzer 2.0 and optimize data models in Power BI, Analysis Services, and Power Pivot.
In this session we will merge practice and theory, analyzing what is data virtualization and data lake, what their benefits and how to implement them using SQL Server 2019 Big Data Cluster
If you're not afraid of a little bit of C# and LINQ, Tabular Editor can take your productivity to a whole new level. This session will teach you how to use Tabular Editor's scripting and Best Practice Analyzer features.
Continuous Integration and Delivery can be a pickle for Analysis Services Tabular Models when using the standard tools. With Azure DevOps, GIT and Tabular Editor, there's a better way...
This session introduces calculation groups, when they should be used and several examples of use cases. You will also learn how calculation groups work internally and what are the limits of this amazing tool.
The quick answer is no, you should not. As with any rule, there are exceptions. When used with care, bidirectional filters are a powerful weapon in the hands of a skilled data modeller.
This presentation is about how to create custom visuals (components) for your PowerBI reports. Power BI reporting features could be extended with custom components, that developers can implement.
This session will Power Query which is now a must for the keen citizen developer.
In this talk we look at how we can stream data from SQL Server to the de facto standard for streaming: Apache Kafka.
Unfortunately, disasters can affect cloud technologies and if you are't prepared for it, the results can be painful. Let's discuss ways to implement Azure SQL disaster recovery techniques to help protect your data!
Get introduced to SQL Server on containers and what you need to know as a DBA to start deploying and managing them in both development and production environments
Learn what wait statistics are and how to use them to identify performance bottlenecks.
Fast-paced session where Paul debunks a slew of myths and misconceptions around SQL Server performance!
Learn how backup and restore work and how to put together an effective backup strategy.
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
Walk through partitioning strategies and look into partitioned views to consolidate distributed data. Enterprise features makes this easy, however hacks will be demo'd to make this work in Standard edition.
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
Dance your way to an understanding row and filter contexts in DAX.
This session focuses on the all PaaS solution of Azure SQL DB/Managed Instance (MI) + SSIS in Azure Data Factory (ADF) to lift & shift, modernize, and extend ETL workflows.
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!
Curious about Visual Recognition and Object Detection in Azure? Are you wondering what the difference is between the Computer Vision API and the Custom Vision API? Get up Speed with the Vision API in less than an hour!
Played around with SQL Server in containers and want to delve further into the platform? This session is for you! In this session we'll dive straight into the Docker platform and investigate its internals.
Learn what is necessary to keep an eye on your Azure SQL Database in order to better tune it and reduce costs.
Learn what SQL Injection is and all the mechanisms you should employ to help stop it.
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
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.
Learn how to build bots that can reduce ticket volumes, help people get answers quickly, and reduce manual processes with no and low code bots with Microsoft Bot Framework and Power Virtual Agents
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.
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.
In this session you will get a birds eye view of all the features in Azure Data Factory, and see this demonstrated in a cloud ETL.
How can data professionals help a company deliver more personal and prompt communication to customers that are demanding it? Learn how data knowledge and the power of Azure Cognitive Services APIs can make that happen!
On-call DBAs have all had that phone call in the middle of the night: "the database is down, fix it now!" Learn how Azure Data Studio notebooks can make our responses faster and more organized so we can get more sleep!
Power BI contains all your important data so understanding how it is secured is important. In this deep dive session we will look at all the aspects of security of Power BI.
Azure boards within Azure DevOps give you the capability to organise your project and analyse the it’s progress. Do you want your manager to stop bugging you about your project’s progress, come to this session?
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.
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.
In this session we explore Azure Synapse Analytics, we will dive into this limitless analytics service and explore how it brings together enterprise data warehousing and Big Data analytics.
I’ll discuss deployment strategies, common usage scenarios, how to store and refresh data, prototyping options, how to share externally, and then finish with how to administer and secure Power BI.
Learn all about Azure Synapse Analytics, including demos so you can see exactly how it works and how it can make your life easier.
Are you a .NET developer who's being FOMO'ing over all the machine learning goodness? Thanks to ML.NET, this is no longer the case! Learn how you can use your C# skills to build some awesome ML applications!
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
Unit testing with databases is fairly new and is not yet embraced within database development. We'll learn how we can implement setup a database project, implement basic unit testing with tSQLt
SQL Server 2019 introduces FROID, a framework to inline user-defined functions, promising much better performance. What problem does it solve? And how does it work?
Execution plans are key to understanding bad query performance. But they can be overwhelming to the new user. Where to start? This session will show the basics!
In this session, we will discover how to utilize common machine learning approaches for daily SQL Server DBA tasks.
As Power BI is a self-service tool, it can be hard for administrators to monitor it. Power BI is fast improving in this context but there still isn’t a consistent way of monitoring it.
Governance of your Power BI environment is very important. Setting up structure around it will allow developers (IT or business) to develop Power BI content the right way, first time as well as aid administrators
The session takes you through the most critical considerations for moving your on-premise data and databases into the Azure cloud, with a focus on the steps leading to the migration and immediately afterwards.
Starting off with the new Performance Analyzer Pane, we'll demonstrate how you can pinpoint bottlenecks in your Power BI reports, and take actions on these insights.
SQL Server has long had a series of development anti-practices like using scalar functions and table valued functions that are vastly improved in modern versions of the database engine. Learn what's fixed.
We often talk about DevOps when everything is going well, but what about when it isn't? We will walk through three real-world 'unhappy path' examples and how to overcome the challenges.
An introduction to the principles that underpin DevOps and the practices that are derived from those principles. This session is mostly theoretical, although it finishes with a brief overview of an Azure DevOps pipeline.
Shared dev databases have a disastrous effect on quality and throughput. However, moving to self-service dev/test databases is hard due to storage and data privacy concerns. The solution? Docker and dbaclone.
While you might have read about notebooks being used for Data Science, this session is for DBAs. You will see how you can use SQL Notebooks to simplify your work.
Learn how to analyze your data with pure T-SQL to get the performance you cannot reach with R, Python, or other tools. Learn the math behind as well.
Ever spent an age releasing a data model, only to find no-one uses it? There's a better way of working, driven by both technology & agile working practices, let me tell you about Value Driven Development & DataOps
If you want to work for yourself, you need to be able to sell yourself. I know, I hate it too - it feels gross when I write it that way. I'm Brent Ozar. You recognize my name, that's why you wanna learn this from me.
Databricks, Lakes & Parquet are a match made in heaven, but explode with extra power when using Delta Lake. This session will dive into the details of how Databricks Delta works and how to make the most of it.
You keep getting warnings and emails about deadlocks, but let's be honest: you're not really sure how they happen or what to do about it. Brent Ozar will show one, use sp_BlitzLock to analyze it, then fix it.
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.
A few years ago I had a client with a data need and I built an IaaS solution. Now, it would have been an ideal fit for a PaaS approach using Azure DB, Stream Analytics and Power BI. This session demos and explains why.
In this short session we will set up an Azure Function using PowerShell and Visual Studio Code. This function will respond to HTTP requests, and securely return the results of a database query.
A complete overview about SQL Server Big Data Clusters including it's major components and use-cases!
If AI is on the cards in your business you might need to make a recommendation as to whether your company should Buy or Build. Come to this session to work out the moving parts to turn "It Depends!" into an answer.
Learn tips and tricks to make SSIS perform better.
Learn how to create dashboards which your end users appreciate and want to use.
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Bob will show the “secret sauce” to financial modelling for General Ledger (GL) structures such as Profit and Loss and Balance Sheet.
DBA and Data scientists should work together! Analyzing data gathered with XE and Query Store data using R or Python for better database insight and discovering hidden patterns.
Taken from the 20+ years of field experiences, many common statistical and data science mistakes have been detected. Session will tackle couple of them.
In this action-packed demo full session, we will be showing you how to combine Azure DW and Power BI to get optimal performance for running your day to day reports.
In this session we’ll look at what ML tools are available in the Power BI and Azure worlds, and how you go about using these in your Power BI reports
We all want to be listened to. In our busy world sometimes we forget how to listen, often to other people. There are advantages to listening, and its a skill we can learn.
Come to this session to see how SQL Server 2019 mitigates two common performance killers: scalar functions and table variables!
Users of Plan Explorer often only utilize the basic capabilities to tune execution plans. This session will cover more advanced techniques to get the most out of SentryOne's FREE execution plan analysis tool.
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
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!
In this session, we will introduce the Advancing Analytics Machine Learning Canvas and how it can be used to capture requirements for Machine Learning Projects.
In this session we focus on how Spark implements Machine Learning at Scale with Spark ML.
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.
In this demo heavy session we will show how Containers and Kubernetes, along with Azure DevOps can work for your CI/CD pipeline.
Tips and tricks on how to move your old SQL Servers to Azure; what to do about GetDate(), your SQL Agent jobs and all your existing tools.
How to increase security by using symmetric and asymmetric server encryption, client side Always Encrypted, secure SSL/TLS channels and Transparent Data Encryption for data at rest.
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.
In this demo intensive session I will show you how to tackle the most challenging tasks with Extended Events without writing a single line of code.
While the three services within the power platform are powerful indivually, their combination is a real game changer! In this session you will some ways to integrate these services to get the most out of them.
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.
Using PowerShell Desired State Configuration (DSC) we'll install and configure a SQL Server instance in under 5 mins.
Learn how Tailwind Traders data science team uses Azure Machine Learning features and services to create bespoke open source NLP models and optimise them. Includes Automated ML, Azure ML SDK and Hyperparameter tuning
Using custom machine learning models to fix inventory issues without changing a development life cycle. In this session, you’ll learn about the data science process and get an intro to Azure ML designer.
SQL Server 2019 is full of new features. Some of them are very interesting and useful, but unfortunately not well-known. So far.
Tinkered with Powershell but not with Python yet? Let's get you started, and we'll do that with some practical examples focussed around talking to SQL Server and importing and exporting some data.
From the perspective of a DBA who had to work with the internal fairly new Cloud Competence Center of an Enterprise to get many TB's of data into Azure, a story about the learning curve corporations go through
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.
In this session, we will explain how to plan for, deploy, and manage Availability Groups from the ground up in easy to understand examples and demos.
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 privacy is at the top of everyone's mind these days, but you can't have privacy without security. So solutions need to be designed with both these aspects in mind from the start.
A distributed availability group is not your mother's availability group. Want to know more? Attend this session.
Data lakes have been around for years yet there is still much hype and hyperbole surrounding their use. This session goes beyond corny puns and broken metaphors and instead provides real-world guidance.
The database is at the heart of your organisation's applications. If you can embed secure practices here, then it will flow througthe rest of your application stack.
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.
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.
In this info packed session, we'll look at top tips and tools to give your LinkedIn profile a facelift to give your content greater reach. Hollie is an experienced TEDx speaker specialising in digital marketing.
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.
One of the most common “false positives” that people see when troubleshooting query plans is that updating statistics “fixes” a problem. In this first session, we'll decipher the ACTUAL problem - caching or statistics?
In this second session, we'll talk about problems that are NOT caching related but in fact, actually statistics problems? More importantly, I'll give you ways to help solve them!
How do you master to grow a Power BI solution from self-service to something that is scalable, managed and governed? A solution that can be trusted and used in the whole enterprise! Make a successful ownership transfer!
Data on its own is useful, but boring. Data in story form makes people sit up and take notice. Learn to craft effective stories and maximise the impact of your data communication.
When do we get improvement in the performance, and when should we better not choosing partitioning but some other optimization techniques instead? Shall we optimize by using partitioning or yet another index?
Learn what the Database Experimentation Advisor is and how you can start using it to baseline performance from a target and source server when new changes are introduced.
Learn how to take your Azure Databricks Workspace and store all you care about in a git repo, and maybe even have some tests running as part of your release pipelines!
Learn the tools and techniques you can use to create governance and insights around your Azure spend
Wanted to join with open-source projects but don’t know how? This quick session will give you all that you need to start doing so.
Yet another new tool from Microsoft ! Why should you consider using it? Thats a good question. In this session we will explore at least 10 reasons to use the tool, and maybe a few more.
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
Considerations in how you buy Azure to provide maximum bang for buck
This short session will cover some scenarios of cleansing data in Power Query using M, Python, or both languages.
That session explains how to put AI algorithms on Edge devices, with feedbacks from a computer vision project
Sometimes design and implementation of modern IoT solutions can be easy. This talk is how to implement modern IoT server-less solutions in Azure, based on event driven design, and powered by Cosmos DB and Power BI.
During this session we will a look at some of the AI approaches adopted by security teams and attackers to, respectively, secure and infiltrate organisations.
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.
What is the difference between Artificial Intelligence, Machine Learning and Deep Learning and how can each be used? Join Buck Woody cover simple, clear explanations for these technologies, how they can be applied.
SQL Server 2019 represents the next evolution of the leading database platform in the industry. In this session, we will cover the complete set of features and capabilities in SQL Server 2019.
Join this session if you are interested in the administration scenarios of the big data clusters, including tooling for monitoring, how to deploy and secure the environment, and to learn about the latest improvements.
Come join us in the intelligent database world that started with SQL Server 2017 and takes a leap forward with the upcoming SQL Server 2019 and Azure SQL DB.
SQL Server 2019 introduces set of new features and improvements to bring close to parity with SQL Server on Windows. Also SQL Server improvements on Linux in Azure ecosystem enables new scenarios for HA/DR.
In this session, learn from the tools team about what a notebook is and how to use SQL, Python, and Powershell notebooks for deployment, automation, troubleshooting and analytics.
In this session, we will dive deep into the Kubernetes platform and how SQL Server containers can be deployed, managed, and configured. This session assumes a fundamental knowledge of both SQL Server and containers.
Come and join us this session to unleash the power from your data as we introduce Machine Learning Services for Python and R across the SQL Platform.
Learn about two innovations in – Accelerated Database Recovery and Resumable Operations – that will help you meet even the strictest SLAs by reducing startup and maintenance time and increasing up-time.
Come learn how to scale your database applications to new heights with SQL Server In-Memory Database.
This session is designed to guide you through what a query plan is and what information it holds to help you diagnose and understand how the code you write is actually executed by the Database Engine.
in this session you will learn about what Unicode encoding you want to use for your scenario, what are the performance differences, and even debunk a few SQL Server myths along the way.
How many features of Azure Data Studio can the team blaze through in 20 minutes? We'll find out in this fast paced, lightning-talk style demo session that will touch oh-so-briefly on as many features as possible.
In this demo-heavy session, the PM and engineering team will share some of the very latest tools functionality, along with sneak peaks of upcoming features and prototypes for the SQL Server tool suite.
Come to this session and learn about how to leverage the many features of the extensibility framework to enrich your use cases with functionality beyond just SQL.
We will deep dive into the architecture of Hyperscale and its various components. We will dive into scaling aspects and the new application patterns it enables and also diagnostics that enable bottleneck identification.
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.
Learn about using serverless in SQL Database to optimize price-performance and simplify performance management
Come and hear about the best practices of cloud migration, the latest enhancements of Azure SQL Database Managed Instance, and the future roadmap.
In this session, we will discuss new features recently announced for SQL Server on Azure Virtual Machines.
Join us for a session that explains connectivity basics followed by how to eliminate all public access to SQL Database server and transition to private-only access using Azure Private Link.
Join this session to learn about new and upcoming SQL security features and how they are supported in hybrid environments.
In this session, we'll cover the 10 most common tasks a DBA needs to learn to manage in Azure SQL as well as they currently manage their On Prem installs.
Come learn how to take advantage of everything Azure SQL can offer to a developer
In this session we will demonstrate a few workload patterns on Azure SQL Database and discuss how to identify and remove bottlenecks in order to scale those applications.
Translate your existing SQL Server performance and availability skills and apply them to Azure SQL.
Learn about internals of the Failover Groups as a BCDR feature recommended for the critical database workloads that must survive region-wide outages and recover instantaneously.
Learn what to use when for various flavors of Azure SQL
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
This session will dive into how to successfully migrate to Azure Synapse, all the way from code conversion to enterprise grade developer tooling, with real customer examples for product and migration experts.
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
Azure Synapse now provides a Query-as-a-Service capability to enable serverless exploration over your data lake with no infrastructure or clusters - all you need to know is T-SQL.
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
In this session, you'll learn about an end-to-end scenario that takes customers through the application migration process, and how that relates to the data migration.
In this session you’ll learn the real-world ins and outs of how we successfully migrated customers to Azure data platform.
Power BI enables customers and partners to do more with their data. Come to this session to learn about the latest information about our strategy, vision, and roadmap for Power BI. 
Learn about the latest innovations in Power BI embedded analytics as well as the upcoming roadmap. Highlights include updates to authentication, application lifecycle management, enterprise reporting support, embedded AI
So your dataset is taking too long to refresh. What can you do? In this presentation you’ll learn about all the different components that can contribute to slow refresh performance such as the data sources you’re using,
In this session you’ll learn about some of these advanced analytical features in Power BI, including: the Analytics pane on visuals; the Key Influencers visual and other AI features.
In this session you'll learn real-world experience from Microsoft's Customer Advisory Team about what you need to manage and administer Power BI.
Come learn how you can leverage the new and advanced features of Delta Lake on Azure Databricks to easily transform your big data analytics and machine learning workloads
In this session you’ll learn more about Azure data services on Azure Arc
This session covers some of the new experiences we’re introducing to help administrators and professionals to manage and govern advanced analytical projects
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.
Come learn how to design your enterprise-scale data lake on Azure using Azure Data Lake Storage
The goal of the talk will be to show you how to choose among the various storage technologies that exist when building your next application.
Learn the latest updates to the tooling features for developers in SQL Server in this demo-heavy session covering ​SQL Projects, Azure Data Studio, SqlPackage, VSCode, the new Microsoft.Data.SqlClient driver, and more!
Join this session to learn about new and upcoming Azure AD authentication capabilities in Azure SQL.
In this session, we will demonstrate the main benefits and best practices of Always Encrypted secure enclaves.
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.
BI professionals continuously improve datasets, reports and dashboards to provide their users with the best analytics experience, but managing all those content updates can be a challenge.
Learn how you can take advantage of the separation of compute and storage between BDC and Hadoop to isolate your workloads and increase your compute processing power without having to scale your Hadoop environment.
Building real-time big data analytics solutions with Azure Data Explorer and Azure Stream Analytics - Come learn about the latest that Azure has to offer in real-time analytics
See a showcase of Redgate's latest innovations that empower teams to quickly deliver quality database code.
Getting a data strategy in place ensures you know what data to capture and how to process, store, manipulate and interpret it to meet your goals. Learn how to create and implement at Strategy with Coeo.
Every day our organizations expect us to do more with less. Writing scripts to automate some tasks will only get you so far. It is time for the DBA to leverage Intelligent Infrastructure to remove routine tasks.
This community panel session is a lively discussion aimed at people who want to learn more about diversity and inclusion, and who would like to do something positive in their workplaces and communities.
Most DBA’s are cowboys, but there is much to learn from the world of cow herding and dairy farms that can make us manage SQL Server instances in a better way. Come and learn how SQL Server farms are the future.
Automation for deploying, monitoring and alerting in a data lake data platform using Terraform, DevOps, Application Insights, Log Analytics and PowerBI.
Azure SQL Database Edge has taken the same SQL database engine you know and optimized it for the Edge. This session explores popular customer implementations, along with new product features for the Intelligent Edge
This session provides an end-to-end walk through of how to use Azure Synapse for cloud-hosted advanced analytics, based around a real-world predictive maintenance use case.
This session will take you through the steps required to build an automated solution to create an Azure SQL Database with a Service Principal and create users and apply permissions
How to code everything in SSRS with PowerShell.
A Q&A panel session with Andrew Pruski and Anthony Nocentino talking about all things containers! Hosted by Rob Sewell
Learn how and where to use Azure Functions in cloud-based ETL processes
Azure now has two slick, platform-as-a-service spark offerings, but which one should you choose? A separate specialist tools or a one-size-fits-all solution? Join Simon as he compares and contrasts the spark offerings.
In this session we will merge practice and theory, analyzing what is data virtualization and data lake, what their benefits and how to implement them using SQL Server 2019 Big Data Cluster
Join three Microsoft Data Platform MVPs to discuss the best approach with building your Azure skills. You will learn the best approaches to gaining the skills you need to function in a cloud world.
In 2020, organizations have undergone digital transformation at breakneck speeds. In this keynote Rohan Kumar, Corporate Vice President of Azure Data, will discuss how you can be at the heart of change for your company.
In 2020, organizations have undergone digital transformation at breakneck speeds. In this keynote Rohan Kumar, Corporate Vice President of Azure Data, will discuss how you can be at the heart of change for your company.
In 2020, organizations have undergone digital transformation at breakneck speeds. In this keynote Rohan Kumar, Corporate Vice President of Azure Data, will discuss how you can be at the heart of change for your company.
Automate optimising your hybrid production databases by recording workloads and replaying them either on-prem or onto Azure instances whilst identifying bottlenecks and exploring SQL tuning techniques.