Tabular Data Modeling Solutions for Challenging Problems
Explore creative solutions for complex data modeling challenges in Power BI, focusing on resolving ambiguous relationships and connecting multiple tables effectively.
Workarounds for T-SQL Restrictions and Limitations
Aprenda técnicas criativas para superar limitações do T-SQL, incluindo cálculos de mínimo/máximo entre colunas, números de linha únicos e reutilização de aliases, com o especialista Itzik Ben-Gan.
Attention Contention
Explore tempdb contention in SQL Server, covering allocation and metadata issues, diagnosis, best practices, and prevention strategies for on-premises and Azure environments.
Into the Deep Waters of API Machinery
Explore Kubernetes API intricacies: namespace deletion issues, REST mapping challenges, and garbage collection mechanisms. Gain insights into common problems and their solutions.
The Cloud Native Journey at Adobe
Explore Adobe's cloud-native journey: migrating enterprise products to Kubernetes, implementing DevOps, and leveraging tools like Envoy, Helm, and Prometheus for improved automation and visibility.
Selecting the Right Identity Provider for Kubernetes - A Comparative Survey
Comparative analysis of identity providers for Kubernetes, covering authentication, authorization, user management, and federation. Helps attendees choose the right solution for their workloads.
Serverless for ML Inference on Kubernetes - Panacea or Folly
Explore serverless ML inference on Kubernetes: performance, costs, and architecture. Gain insights from benchmarking experiments to optimize your ML inference system.
Extending Service Mesh to the Edge
Explore extending service mesh to edge computing, optimizing resource use and WAN connections. Learn about Clovisor project, utilizing eBPF, SDWAN, and Envoy for efficient edge/cloud network policies.
A Future Journey - How to Migrate 100 Clusters Between Clouds Without Downtime
Explore challenges and solutions for migrating multiple Kubernetes clusters between cloud providers without downtime, including automation strategies and practical insights.
Speed Up Data Access with PyArrow Apache Arrow - Data is the New API
Explore Apache Arrow's columnar memory format for fast, language-independent data access. Learn about PyArrow integration, performance benefits, and Apache Flight for analytics.
How to Make Your Python Jupyter Notebook Standalone
Learn to make Python Jupyter notebooks reproducible and standalone using a JupyterLab extension for dependency management. Explore resolution engines, handle various scenarios, and ensure project reusability in cloud environments.
Observability Driven Development
Explore techniques for developing applications with enhanced observability, focusing on searchable, consistent, and rich log messages to improve production debugging and customer support.
Sculpting Data for Machine Learning
Explore dataset curation for machine learning, from identifying and extracting meaningful data to constructing high-quality datasets using Python, emphasizing the crucial role of data in developing smart algorithms.
Why Should Async Get All The Love - Advanced Control Flow With Threads
Explore advanced threading techniques in Python, inspired by asyncio, Go, and Node, for improved control flow and performance in concurrent programming.
If an Asyncio Task Fails in the Woods and Nobody Is Around to See It, Does It Make a Sound?
Discover bad asyncio patterns and learn effective solutions for bootstrapping, tear down, and code improvement in this insightful talk on handling production failures.
Making Data Classes Work for You
Explore data classes in Python through practical examples, focusing on creating robust, self-validating types for improved code reliability and maintainability.
Actionable Insights vs Ranking - How to Use and How NOT to Use Code Quality Metrics
Explore code quality metrics in Python, their interpretations, and limitations. Learn to use metrics for better conversations about code quality and avoid common pitfalls in their application.
How We Migrated 3.8 Million Lines of Python 2 Without Interrupting Development
Learn strategies for migrating large Python 2 codebases to Python 3 without disrupting development, including tools, techniques, and patterns for minimizing regressions and ensuring smooth rollout.
Improving App Performance with Snapshots
Learn to enhance app performance by optimizing database queries using the "snapshot-queries" library. Discover techniques for efficient Python coding and scaling without increased costs.
Harvest the Power of the GPU for Awesome Special Effects
Explore GPU-powered graphics with OpenGL shaders in Python using the Arcade library. Learn shader basics, integration, and create stunning visual effects.
Managing the Test Data Nightmare
Strategies for managing test data efficiently, covering preparation, control, and best practices to avoid common pitfalls in software testing.