Join me on a journey through the different offerings in Azure Arc and how they can benefit you as a data professional!
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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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In this 100% demo session, I will show you kql magic, kql kernel, and the recently released Azure Monitor Logs extension for Azure Data Studio to consume event logs of the Azure SQL database.
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Using open source apache nifi to integrate and ingest data at scale
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I will show you demos for how to implement each layer of defense. This way, if one layer is breached, you aren’t left defenseless. We will start at the outer layer with network access. Next, we will cover the authentication and authorization using Azure RBAC. Finally, we will protect the innermost layer with Data At Rest and Data In Transit encryption. Once these protections are in place, we’ll see how to monitor Azure SQL security ecosystem for intrusions with Advanced threat protection.
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This session will walk you through three different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.
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Join us, as we explore the capabilities of Azure Arc-enabled SQL Managed Instances.
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This session will introduce you to "What and why you should care about", and discuss "how" to apply the Security and Privacy lens for Big Data on AWS.
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A short, fast dive into the specific elements of Azure Purview that work well with Data Lakes, and how you implement them yourselves
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How to build a data platform in Azure
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We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
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DBA/Developer Toolset to get you out of that hole and save you some time
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Azure SQL performance capabilities, how to configure and maintain your Azure SQL for higher performance. We will explore various monitoring tools and pick few scenarios for deeper troubleshooting. In this demo centric session, we will tune our database and find an optimal ground to manage cost. We will generate Power BI powered database score card for trend analysis.
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Automate checking your database security model
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Two consultants, two different companies, two data professionals passionate about performance tuning. Do we like the same things? Do we have the same approach to problems? Topics will include: Trace Flags, DMVs, DBCC commands, Community Scripts and Intelligent Query Processing Features. We will talk about the features and solutions we agree on, and discuss where we disagree.
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Auditing options for Azure SQL offerings
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In this lightning talk I'll demonstrate how to apply the R implementation of Benford's law (which actually is not about crime or fraud) to identify possibly fraudulent invoice or other data.
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In this session, you will learn where data lives in a computer system, and the key performance metrics used to understand the health and performance of your storage subsystem.
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Dynamic SQL is great, until it is used to hack your site. In this session we demonstrate how using the T-SQL "Execute AS" command can limit what can be run using dynamic SQL.
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Curious what Azure Synapse Analytics brings to the table? Bring your scuba gear, as we take a dive and explore everything it has to offer!
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Learn how to deploy Power BI at scale within a large Enterprise. The mantra behind this is “discipline at the core, flexibility at the edge” - we will cover deploying appropriate guardrails/controls whilst still retaining the notion of “self-service” within the organization.
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As far upstream as possible. As far downstream as necessary. In 20 minutes.
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Scaling SQL Servers is complex and is more relevant today as the transactional and data growth rates continue to grow. In this session, we will talk about what it takes to scale SQL Server to meet the peak workload.
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Do you want to get the current 232 suggested best practices from the Microsoft SQL Server Team and evaluate your environments? In this all demo session (Yes, no slides), I will show you both the "what" and "how" to do the same using the SQL assessment API and Azure Data Studio 'SQL Assessment' extension.
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In this session, we'll set you on the right path towards high availability and disaster recovery for common data architectures in the cloud by the end of this session.
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Delicious Demos For Doubting Developers
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There is a time and a place for everything. John and Rob, being consultants, often say "Well, it depends" Lets talk about some of the times when the "rules" may not fit
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Let us walk you through our steps to triage and troubleshoot issues as they come in to make sure things get fixed in the right order at the right time and we all stay sane.
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Start learning Extended Events today to help you solve your issues in SQL Server.
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Introduce VertiPaq Analyzer features in DAX Studio and as a library available in other tools.
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This session will introduce you to Azure Purview, what problems it was designed to solve for, and show you how to create a Purview Account in your Azure tenant.
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This session will be about database load patterns that show the application design issues and solutions to those issues.
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Everyone needs a list of what to double check in your environment to ensure your servers and databases are optimized in order to make SQL Server run faster, better and more efficiently. In this session you will learn about what you need to review and implement to get a performance and configuration improvements.
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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.
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.
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.
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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.
Learn the tools and techniques you can use to create governance and insights around your Azure spend
In this session you’ll learn more about Azure data services on Azure Arc
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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Learn tips and tricks to make SSIS perform better.
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