A Practical Guide to Graph Databases
Explore graph databases' practical applications, use cases, and patterns. Learn to leverage their power for solving real-world business problems and gaining valuable insights.
From Reactive Extensions to Reactive Streams
Explore reactive programming evolution from Rx.NET to reactive streams, focusing on Akka.NET streams implementation and their versatile applications in networking and event sourcing.
Using Kafka for Real-Time Data Ingestion with .NET
Explore Apache Kafka's scalable messaging system for distributed architectures. Learn architectural principles and build a .NET project to efficiently produce and consume messages.
Notorious B.I.G. Data - Wins and Fails When Building a Big Data Platform in the Cloud
Insights on scaling cloud-based big data platforms, covering architecture evolution, cost management, GDPR compliance, and optimizing developer experience for processing billions of data rows daily.
The Future of Data Visualization on the Web
Explore modern data visualization techniques and future trends for web-based charts and graphs, moving beyond static images and HTML table tricks.
Not a Magic - What to Expect from Machine Learning Projects
Practical insights on implementing machine learning projects, covering data handling, algorithm selection, training, evaluation, and deployment challenges in organizational settings.
Managing Your Black Friday Logs
Best practices for optimizing Elastic Stack for high-traffic monitoring, including architecture, bulk sizing, load distribution, and disk I/O tuning to handle Black Friday-level log volumes.
Super Large, Ultra Fast, Mega Scaling Cloud Computing
Explore big data in the cloud through a real-world example of a Norwegian oil company's data analytics system, examining both advantages and challenges of cloud-based solutions for large-scale data processing.
When Your Twin is Digital and in 3D
Explore digital twins in 3D using modern technologies like HoloLens and VR. Learn to develop and interact with virtual replicas using Unity3D and the Dolittle platform. Hands-on demos included.
Integrate Python and C++ with pybind11
Discover how to combine Python's rapid development with C++'s performance using pybind11. Learn to expose C++ libraries as Python modules for efficient hybrid solutions in data science and machine learning.
How to Dot Into Anything, Anywhere, Anytime - Facilitating Data-First Programming
Explore data-first programming with self-generating assemblies and Intellisense, enabling rapid problem-solving using new data sources and services. Learn Type Provider implementation and its advantages over Roslyn.
Building Advance Analytics Pipelines with Azure Databricks
Explore Azure Databricks for advanced analytics: Learn Spark basics, collaboration features, cluster management, and Azure integration through a detailed network intrusion anomaly detection pipeline walkthrough.
Serverless SQL Pipelines
Explore serverless SQL options across cloud platforms, comparing AWS and Google services. Learn architectural patterns for data lake pipelines and emerging serverless solutions.
What's That Fruit
Explore image classification and object detection using Microsoft Cognitive Services, from cloud-based solutions to edge computing, with simplified explanations and practical code examples.
Creating & Maintaining Impactful Dashboards
Explore techniques for creating effective, audience-tailored dashboards. Learn to design concise yet informative visualizations, identify useful patterns, and maintain relevance for monitoring software and projects.
ML.NET for Developers Without Any AI Experience
Explore AI in .NET applications using ML.NET. Learn to build and train ML models for various tasks like detecting laughter, analyzing mood, and predicting code bugs, all with your existing .NET skills.
Why Should You Care About Edge Computing
Explore edge computing's potential to revolutionize data collection and analytics, enabling new business opportunities through AI-powered devices and cloud integration.
Tabs, Spaces and Salaries - A Data Science Detective Story
Uncover the mystery behind developer salaries and indentation preferences in this data science investigation, exploring correlations, biases, and model fitting pitfalls.
A Practical Guide to Dashboarding
Explore dashboarding essentials: from choosing tools to extracting metrics via telemetry. Learn setup techniques, best practices, and common patterns for creating impactful visualizations that drive informed decision-making.
Tabs, Spaces and Salaries - A Data Science Detective Story
Uncover the mystery behind developer salaries and indentation preferences in this data science investigation, exploring correlations, biases, and model fitting pitfalls.
A Practical Guide to Dashboarding
Comprehensive guide to creating effective dashboards: from choosing tools and metrics to setting up monitoring infrastructure and avoiding common pitfalls. Practical demo included.