TDD for Absolute Beginners
Discover a simpler approach to test-driven development, challenging traditional methods and exploring the reasoning behind TDD practices for beginners.
What's in a Name: From Variables to Domain-Driven Design
Explore semantic theory to master naming in software engineering, from variables to domain-driven design, enhancing code quality at all experience levels.
Ask Your Logs - Structured Logging for Rails Applications
Explore structured logging techniques to transform Rails logs into actionable data, enabling efficient debugging and insightful analysis of production issues.
Implementing Native Composite Primary Key Support in Rails 7.1
Explore composite primary keys in Rails 7.1, optimize applications, and enhance database performance with this powerful new feature.
So Writing Tests Feels Painful - What Now? - RailsConf 2024
Discover strategies to transform tedious testing into an opportunity for better software design, using RSpec examples to guide refactoring and manage complexity in Rails.
The React Native Paradox: Origins, Challenges, and Successes
Explore React Native's journey from unlikely framework to mobile development cornerstone. Gain insights into its origins, challenges, and successes for cross-platform development's future.
React Native Local First Semantic Search - How to Run AI Locally
Implement high-performance local-first semantic search in React Native using AI models. Turn text into embedding vectors for rapid querying in multi-dimensional indexes.
Real Strategies to Modernize a Legacy React Native Project
Discover practical strategies to modernize legacy React Native projects, including code conversion, testing updates, design system integration, and tech debt management.
Stability First: Building React Native Apps That Scale
Discover strategies for prioritizing stability in React Native development, ensuring reliable apps that scale while enhancing developer and user experiences.
Modern Data Management - Setting Up Your Data Team for Success
Discover best practices for implementing data discovery, enabling searchable knowledge for all. Learn to set up a data discovery portal as a single source of truth for mature data management.
Govern Your Data Clients the Right Way to Scale
Learn to scale data governance, create supportive frameworks for data clients using open-source tools, and adapt to business changes. Gain insights on mitigating risks associated with uncontrolled growth.
ML in Production: What Does Production Even Mean
Explore the concept of "production" in machine learning, its challenges, and a step-by-step approach to deploying models effectively. Gain insights from industry expert Dean Pleban.
Continuous Data Pipeline for Real-Time Benchmarking and Data Set Augmentation
Generate datasets and real-time precision/recall splits to detect data shifts, prioritize data collection, and retrain models for improved ML system accuracy and performance.
Automatically Fix Data Issues and Label Errors in Most ML Datasets - Cleanlab
Discover how to automatically detect and fix data issues in machine learning datasets using Cleanlab's open-source framework and no-code web interface for improved model accuracy.
Incident Management for Data People
Learn how data teams can apply incident management practices to reduce disruptions in analytics and ML applications, improving pipeline reliability and data quality.
Human-in-the-Loop Concept for Building Fully Adaptive ML Models Using Crowdsourcing
Explore building adaptive ML models using crowdsourcing to combat concept drift. Learn techniques for drift monitoring and human-in-the-loop automation in machine learning systems.
How Freewheel Processes Billions of Ad Tech Events in Real Time
Explore real-time bidding data processing at scale. Learn about Beeswax platform's event-based architecture, leveraging AWS Kinesis and Snowflake's Snowpipe to handle 500,000 QPS for data-driven advertising decisions.
LLMs and Semantic Layer: Self-Serve Analytics Has Entered the Chat
Explore how LLMs and semantic layers revolutionize self-serve analytics, enabling accurate question answering and unlocking true business intelligence potential.
Creating Self-Service, High-Velocity Data Cultures
Discover processes, platforms, and personnel needed to transform data culture into self-service, proactive insights. Learn to leverage data as a competitive advantage across business facets.
Evolving AI Laws and the Imperative to Build Safe, Compliant and Risk-Proof AI
Explore evolving AI regulations and learn to build safe, compliant, and risk-proof AI solutions using modern monitoring, explainability, and fairness tools for tangible business results.
Hierarchical Forecasting in Python - Introduction to the Hierarchical Forecast Library
Explore open-source Hierarchical Forecast library for time series datasets, featuring reconciliation algorithms, preprocessed data, evaluation metrics, and statistical baseline models.