RabbitMQ Streams: Past, Present, and Future - Design Journey and New Features
Explore RabbitMQ streams' design journey, internals, and new filtering feature. Gain insights into best practices, limitations, and future developments for efficient message streaming and partitioning.
Beautiful and Right - Hidden Features and Abstractions that Make Languages Work
Explore Elixir's hidden features and abstractions powering frameworks like Nerves, LiveView, and NX. Uncover how OTP behaviors and macros create elegant, reliable concurrent systems.
Programming for the Planet - Functional Programming for Environmental Analysis
Explore functional programming's role in building resilient systems for climate analysis, addressing global crises through data-driven conservation and policy decisions.
Building Analytic Systems with Elixir
Explore building analytical systems with Elixir, covering process mining, technology choices, and challenges. Compare Elixir Explorer with Python for data analysis tasks.
Interactive Visualization Dashboards: Transforming Research Papers into Dynamic Web Applications
Aprende a transformar artículos de investigación en aplicaciones web dinámicas utilizando paneles de visualización interactivos para una presentación más atractiva y accesible de datos científicos.
A City Digital Twin for Sustainable Mobility: Big Data Analytics and Predictive Models
Explore big data analytics and predictive models for sustainable urban mobility using digital twin technology.
Fourier Phase Index for Extracting Signatures of Determinism and Nonlinear Features in Time Series
Explore a novel method for analyzing time series data, extracting deterministic signatures and nonlinear features using the Fourier Phase Index.
Practical Pipelines: Houseplant Soil Alerting System with ksqlDB
Develop a houseplant soil alerting system using ksqlDB, exploring practical pipeline implementation for real-time data processing and monitoring.
Building Interactive Reports in Streamlit with ipyvizzu
Learn to create dynamic, interactive reports using Streamlit and ipyvizzu. Master data visualization techniques for engaging and informative presentations.
Build ML-Enhanced Event Streaming Apps with Python Microservices - Conf42 Python 2023
Develop ML-enhanced event streaming applications using Python microservices, exploring real-time data processing and machine learning integration.
Anomaly Detection with Apache Pinot and ThirdEye
Explore anomaly detection techniques using Apache Pinot and ThirdEye for efficient cloud-native data analysis and monitoring.
A Gentle Introduction to Vector Databases
Explore vector databases, semantic search, and machine learning models for unstructured data processing. Learn about Weaviate and see a practical demo of vector search in action.
The Next Phase - Information and Visualization with Digital Twins
Explore digital twins in IoT: benefits, standards, tech stacks, hardware, visualizations, and implementation strategies. Learn to plan, coordinate, and execute digital twin projects effectively.
Understanding and Using AI and Machine Learning 101
Explore AI and ML applications in business, focusing on Oracle's tools for database management, analytics, and generative AI. Learn about algorithms, AutoML, and the future of AI in various industries.
Using Frameworks to Test Apache Airflow Data Pipelines
Explore frameworks for testing Apache Airflow data pipelines, covering local development, CI/CD, validation, unit tests, and integration tests. Includes a practical demo and key takeaways.
Practical AI with Machine Learning for Observability in Netdata
Explore AI-driven observability in Netdata, comparing traditional monitoring with innovative approaches. Learn about distributed monitoring, anomaly detection, and future ML developments for enhanced system insights.
Observability Maturity Model for AWS: From Reactive to Autonomous
Explore AWS observability maturity, from reactive to autonomous stages. Learn implementation guidelines, best practices, and future trends in cloud-native observability.
The Art of Data Storytelling Powered by Oracle Analytics
Explore data storytelling techniques using Oracle Analytics to create impactful narratives that influence decision-making and drive insights from complex information.
Using Quix, Hugging Face, and InfluxDB for Anomaly Detection
Explore anomaly detection using Quix, Hugging Face, and InfluxDB. Learn about data pipelines, time series databases, and MLOps for effective machine learning implementation.
MLOps: From Jupyter to Production - Conf42 ML 2024
Learn to transition machine learning projects from Jupyter notebooks to production environments, covering MLOps best practices and real-world implementation strategies.
Practically Engaging with AI - Bridging Aspirations and Actionable Strategies
Explore actionable strategies to bridge the gap between AI aspirations and real-world integration, focusing on practical implementation techniques.