Dimensional Modeling
Learn key concepts and practices of Dimensional Modeling using the Kimball Method. Explore star schemas, snowflake schemas, surrogate keys, and slowly changing dimensions for effective data warehouse design.
Why Ad Creative Matters - Unite Now 2020
Discover best practices, benchmarks, and examples for effective ad creative in user acquisition, enhancing your marketing strategy and performance.
Post Install Optimization for User Acquisition - Unite Now 2020
Discover machine learning techniques for post-install optimization in user acquisition. Learn about neural networks, dynamic CPC, and strategies to identify high-value users and improve UA efforts.
UA Tips & Tricks - A View from the Inside with Gram Games, Uken, and Small Giant - Unite Now 2020
Gain insider insights on user acquisition strategies from industry leaders, covering topics like bidding, creative optimization, and performance metrics for mobile game marketing.
Joining Multiple Heatmaps - ComplexHeatMap Tutorial
Learn to combine multiple heatmaps in R using ComplexHeatmap. Master horizontal and vertical merging, customization, and annotations for effective data visualization in bioinformatics.
Creating a Heatmap in R - ComplexHeatmap Tutorial Part 1
Learn to create intricate heatmaps in R using ComplexHeatmap package. Master setup, color customization, title modification, and data ordering for effective visualization of multidimensional genomic data.
Log2 Fold-Change & DESeq2 Model in a Nutshell
Explore log2 fold-change, DESeq2 model, and differential expression analysis challenges. Learn the theory behind DESeq2 and its practical application in R for bioinformatics research.
Embracing the Human in HCI - Co-design, Collaboration, and Culture Change
Explore interdisciplinary co-design practices to develop systems that fully support people's technological needs, emphasizing human experience, collaboration, and cultural shifts in research and design across disciplines.
Data-Centricity - A Challenge and Opportunity for CS Education, by Shriram Krishnamurthi
Exploring data-centric approaches in computing education, emphasizing curricular innovations at university and school levels to adapt to the data-driven landscape of modern computing.
Running Linux Apps on Windows - How and Why?
Explore running Linux apps on Windows with WSL, covering Windows Terminal, Docker, and GUI applications. Learn about system architecture, performance, and practical use cases.
How to Debug Logs and Web Application in Heroku - Data Science
Learn to troubleshoot and debug Heroku applications, focusing on log analysis and error resolution for web and data science projects.
MongoDB With Python - Querying JSON Documents - Data Science
Learn to query MongoDB with Python, focusing on JSON documents and data science applications. Covers server connection, insertion, querying, operators, and nested documents.
Migrating Pinterest Apache Spark Clusters from HDFS to S3
Explore Pinterest's migration of Apache Spark clusters from HDFS to S3, addressing technical challenges, optimizing performance, and achieving a smooth transition process.
Deploying Apache Spark Jobs on Kubernetes with Helm and Spark Operator
Learn to deploy Scala Spark jobs on Kubernetes using Helm and Spark Operator. Live coding demo shows scalable, flexible deployments with minimal custom configurations for stress-free implementation.
Patterns and Operational Insights for Large-Scale Delta Lake Workloads
Explore effective Delta Lake patterns, optimization techniques, and operational insights for managing large-scale data workloads on Databricks, including streaming ETL, data enrichment, and analytics.
Koalas - Scaling Pandas API on Apache Spark
Learn to scale pandas operations to big data using Koalas, an open-source project implementing the pandas API on Apache Spark. Transition seamlessly from single-machine to distributed environments for large-scale data science.
Healthcare Claim Reimbursement Using Apache Spark - Optum's System Transformation
Optimizing healthcare claim processing with Apache Spark: Improved performance, reduced costs, and enhanced capabilities for hospitals' revenue recovery through efficient data processing and analysis.
Bringing Satellite and Drone Imagery into Data Science Workflows
Explore satellite and drone imagery analysis in data science workflows using RasterFrames, a Spark SQL extension with Python API for processing spatial image data and integrating with ML frameworks.
Accelerating Apache Spark Shuffle for Data Analytics on Cloud with Remote Persistent Memory Pools
Innovative solution for accelerating Apache Spark shuffle operations using remote persistent memory pools, improving performance, scalability, and reliability in cloud-based big data analytics.
The Apache Spark File Format Ecosystem - Optimizing Storage for Performance
Explore key file formats in Spark ecosystem: Parquet, ORC, Avro. Learn core concepts, optimization techniques, and how to select the right format for performant data processing and AI/ML workflows.
Generative Hyperloop Design - Managing Massively Scaled Simulations for Demand Modeling
Explore large-scale simulation framework for Hyperloop design, utilizing cloud computing, data pipelines, and machine learning to address key technical and business questions for safe and efficient mass transportation.