Getting Started with ESM Metagenomic Atlas with API and Large Language Models
Introduction to Meta AI's ESM Metagenomic Atlas, exploring protein structures and their importance. Covers API usage, large language models, and practical demonstrations using various tools and resources.
Data Processing Fundamentals - Extended Filtering with Multiple Datasets
Learn advanced data filtering techniques in Python, including category-based filtering, handling multiple datasets, and optimizing code with inline methods for efficient data processing.
Data Processing Fundamentals - Data Access and Filtering
Learn Python data processing techniques including data loading, reading, and value-based filtering. Gain practical skills in handling and manipulating datasets efficiently.
Talk to Wikipedia App with Streamlit, GPT-3, OpenAI Embeddings in Python, VS Code
Build an interactive "Talk to Wikipedia" app using Streamlit, GPT-3, and OpenAI embeddings. Learn to integrate APIs, debug in VS Code, and deploy your creation online.
Excel Training - Complete Course
Comprehensive Excel training covering worksheets, formatting, functions, charts, and case studies. Develop essential skills for data management and analysis through hands-on practice and real-world applications.
Learn Data Science Full Course - 2020
Comprehensive introduction to data science, covering key concepts, tools, and methodologies. Ideal for beginners seeking to understand the field's fundamentals and career prospects.
Funnel Analysis with Apache Spark and Druid for Advertising Campaign Effectiveness
Learn to perform funnel analysis at scale using Apache Spark, Druid, and DataSketches. Discover techniques for measuring campaign effectiveness and analyzing user behavior in chronological order for large-scale advertising campaigns.
Introduction, Principles and Origin of Dagster
Introduction to Dagster: A data orchestrator for the entire application lifecycle. Covers principles, development, deployment, and monitoring. Includes demo and code snippets showcasing Dagit UI and Dagster programming model.
Degrading Performance - Understanding and Solving Small Files Syndrome
Learn how small files impact data pipeline performance, understand cloud storage and Apache Spark interactions, and discover DeltaLake solutions for improved efficiency in handling massive datasets.
Automated Metadata Management in Data Lakes - A CI/CD Driven Approach
Discover a CI/CD-driven approach to automated metadata management in data lakes, focusing on balancing development speed, governance, and schema evolution for rapidly growing organizations.
Advanced SQL for Data Scientists
Master essential SQL skills for data science: statistics, data prep, advanced filtering, window functions, and analytics tool integration.
Turbocharging Spark with Samsung SmartSSD Computational Storage Devices
Discover how Samsung SmartSSD® with Xilinx FPGAs accelerates Spark, offering 2x-8x performance gains without code changes. Learn about the technology, benchmarks, and TCO savings.
Photon: Accelerating SQL Queries on Databricks Lakehouse Platform
Explore Photon, a C++ component for efficient query execution in Databricks Lakehouse. Learn about its vectorized processing, compatibility with Apache Spark, and performance enhancements for data-driven decision-making.
Koalas: Scaling Pandas APIs on Apache Spark - Performance and Comparison with Dask
Explore Koalas: pandas-like APIs for big data on Apache Spark. Compare performance with Dask, learn about recent updates, and understand its scalability for data science tasks.
Empowering Developers with Self-Service ETL - Zillow's Approach
Zillow's self-service ETL solutions empower teams to build, maintain, and monitor data pipelines, abstracting complex processes and catering to diverse user needs while leveraging internal services for efficient implementation.
Code Once, Use Often - Declarative Data Pipelines
Learn to build efficient, reusable data pipelines using declarative approaches. Explore techniques for reducing food waste through data-driven solutions and automation in this developer-focused session.
Advancing GPU Analytics with RAPIDS Accelerator for Apache Spark and Alluxio
Learn to accelerate GPU analytics using RAPIDS for Apache Spark and Alluxio, enabling faster data access and processing for AI and analytics workloads across any cloud environment.
Accelerating Data Science Initiatives with Databricks and Privacera
Explore how Databricks' SQL Analytics and Privacera's governance capabilities integrate to provide rapid, secure data access for advanced analytics while ensuring compliance with privacy regulations.
A Collaborative Data Science Development Workflow Using Kedro and MLflow
Explore a collaborative data science workflow using Kedro pipelines, MLflow tracking, and cloud-agnostic GPU containers for efficient model development, training, and production deployment.
What's New with Databricks Machine Learning
Explore Databricks' latest ML innovations, from data preparation to model deployment, in a detailed demo showcasing simplified lifecycle management and enhanced productivity features.
Growing the Delta Ecosystem - Delta-RS for Rust and Python
Explore delta-rs, a Rust library extending Delta Lake beyond Spark. Learn its current capabilities, roadmap, and real-world application in kafka-delta-ingest for high-throughput data transfer.