Do Those Numbers Look Right?
Ensure data accuracy with automated quality gates in data solutions like Power BI, Synapse Pipelines, and Spark notebooks. Learn testing techniques & tips.
Talks
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Fake it 'til you make it - generating production quality test data at scale.
Explore open source tools & data sources for generating realistic synthetic data, enabling better product design, testing, and secure engineering practices.
How to dynamically create SQL Serverless views from Azure Synapse Pipelines
Discover SQL Serverless schema updates in Synapse Pipelines and dynamically manage views for precise data lake queries.
How to test Azure Synapse notebooks
Explore data with Synapse Interactive Notebooks while ensuring quality. Learn to structure notebooks for easy test integration in this insightful session.
How to define business requirements for a successful cloud data & analytics project
Discover how to boost data project success with an iterative, insight-driven approach, prioritizing requirements and leveraging cloud analytics platforms.
Monetize APIs with Azure API Management Using Adyen
Learn to monetize APIs using Azure API Management & Adyen in our tutorial, featuring a demo project, revenue model, and step-by-step deployment guide.
Monetize APIs with Azure API Management Using Stripe
Unlock digital transformation with API monetization using Azure API Management & Stripe in our demo project, featuring a step-by-step deployment guide.
Reaqtor - Reliable Rx at Scale for High-performance Event Processing
Discover Reaqtor, an open-source, scalable event processing service based on Rx, used in Microsoft's Cortana & Office 365. Learn about its unique features.
How to Start Your Career in Data Science
Barry Smart discusses his career path, including roles as software engineer, architect, IT Director, CTO, and pursuing a Masters in AI.
How to safely reference a nullable activity output in Azure Synapse Pipelines and Azure Data Factory
Discover Azure Data Factory's null-safe operator for secure activity output referencing. Learn to handle non-existent outputs with ease in our video.
Beyond Modern Data Warehouse MVP Panel Discussion
Explore how Azure Synapse, Purview, Databricks & more impact data roles, skills, and collaboration. Microsoft MVPs discuss modern data platforms & insights.
Wardley Maps: Can Maps do Good?
Explore the potential of maps as tools for positive change, examining their role in defining goals, understanding current situations, and enhancing strategies.
Building a secure data solution using Azure Data Lake Store
Explore Azure Data Lake Storage (ADLS) benefits, security, scalability, and monitoring. Learn to combine ADLS with serverless processing and Azure AD security.
Navigating the Bewildering Array of Data Services in Azure
Explore Azure's data handling options, including databases, storage, analytics, and ETL solutions, to make informed decisions for your application needs.
Data Exploration & Experimentation with Notebooks in Azure
Microsoft invests in Notebook tech like Jupyter & .NET Interactive for data analysis, adding .NET support for Spark and Azure's Databricks integration.
Detecting Anomalies in IoT Telemetry with Azure Synapse Analytics
Explore predictive maintenance in IoT with Azure Synapse Analytics, aiding customer service through anomaly detection and end-to-end data science.
What makes a good API?
Explore API design from a consumer's perspective, focusing on simplicity and ease of understanding. Analyze popular APIs and client tooling for effective patterns.
Reactive Extensions for .NET
Explore Reactive Extensions (Rx) for .NET, a library for async & event-based sources. Learn how Rx aids in data processing on edge devices & Azure IoT hubs.
Serverless data prep using SQL on demand and Synapse Pipelines
Explore building serverless data prep pipelines with Azure Synapse Pipelines. Learn to use TDS endpoints, copy activity, and avoid common pitfalls.
Highlights from Sustainable Finance.LIVE: A Gathering of Real-World Expertise
Sustainable Finance.LIVE speakers discuss Co-Creation Workshops, ESG portfolio building, and data management challenges in investment and asset management.