Build a Reproducible ML Workflow with Kubeflow Pipelines
Learn to create reproducible machine learning workflows using Kubeflow Pipelines, enhancing efficiency and scalability in ML projects with Google's open-source platform.
Flyte - Cloud Native Machine Learning and Data Processing Platform
Explore Flyte, a cloud-native platform for machine learning and data processing, presented by Lyft engineers. Learn its features, benefits, and applications in modern data workflows.
Breaking Out of the Proprietary Cage - Real-time Data Warehouses in Open Source
Explore real-time data warehouses in open source, focusing on ClickHouse's architecture, performance optimization, and integration patterns for modern analytics applications.
What is Feminist Data Science?
Explore feminist data science with Lauren Klein, examining how gender perspectives can reshape data analysis methods and interpretations in humanities research.
Networks from Real Data - Algorithmic Information Dynamics
Explore algorithmic information dynamics and its applications in causality and living systems, from networks to cells, using computational approaches.
The Gold Standard - Data Quality and Data Contracts in AI
Explore data contracts for AI systems: ensuring data quality, schema, semantics, and governance. Learn to evolve data models iteratively and apply incremental governance for trustworthy AI training datasets.
Framework and Lessons Learned from Building a Generative AI Application - Jason Tan
Discover insights on building Generative AI applications, exploring frameworks, lessons learned, and the advantages of embedded AI for innovative solutions and business integration.
Build an Instagram Scraper With SOAX Residential Proxies
Learn to create an Instagram scraping tool using Selenium and SOAX residential proxies. Discover automation techniques for efficient data extraction from social media platforms.
Batch vs Stream Processing - How to Reduce Complexity
Explore advantages and disadvantages of batch vs stream processing, and learn how to reduce complexity in batch processes using stream inline data enrichment techniques.
Bringing Transactionality to the Streaming Ecosystem - Webinar
Explore modern streaming data platforms for real-time transaction processing, focusing on durability, scalability, and performance in critical data paths. Learn from Alpaca's experience re-engineering their order management system.
An Intro to Presto, the Open Source Distributed SQL Query Engine for the Data Lake
Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.
Hail Hydrate - From Stream to Lake Using Open Source
Explore open-source tools for efficient data streaming and lake management, enhancing your skills in modern data architecture and processing techniques.
Designing High-Performance Scalable Middleware for HPC, AI, and Data Science in Exascale Systems and Clouds
Explore high-performance middleware design for exascale systems, focusing on MVAPICH2 project's features and performance in HPC, AI, and data science applications across various platforms.
Growing Communities - A Research-based Framework for Eliminating Barriers to Contribution
Explore a research-based framework for eliminating barriers to contribution in open source communities, focusing on internal processes, social challenges, and inclusion strategies.
The Future of Data Pipelines with Atomic Wasm Transformations - Evolving Role of Data Engineers
Explore atomic Wasm transformations in data pipelines and their impact on data engineering roles, focusing on innovative approaches to data processing and workflow optimization.
Simplifying Testing of Spark Applications
Learn techniques to simplify testing Spark applications, covering Python UDFs, Pandas UDFs, and functional APIs. Explore practical scenarios and demos for efficient data processing and analysis.
Open Source Summit Keynotes - Future of Work, AI, Innovation, and Inclusion
Explore the future of work, open-source innovation, and diversity in tech with industry leaders. Gain insights on collaboration, AI, cloud computing, and inclusive practices shaping the tech landscape.
Practice Problems on Finding Superkeys and Candidate Keys with Example in DBMS
Learn to identify superkeys and candidate keys in database management systems through practical examples and problem-solving techniques.
Dictionary Methods - Python Programming
Explore essential dictionary methods in Python, including copy, clear, items, keys, values, update, pop, and more. Enhance your coding skills with practical examples.
Prepping the Bar - Insights from Cleaning and Labeling a Cocktail Dataset
Explore data cleaning and labeling techniques using a cocktail dataset, gaining insights for effective data preparation in business analytics projects.
The Pace of Innovation in Delta Lake
Explore the rapid advancements and innovative features of Delta Lake, enhancing data reliability and performance in modern data architectures.