Deploying SSDs with Computational Storage - The Promise and Reality
Explore real-world applications and challenges of Computational Storage deployment, examining efficiency gains, TCO benefits, and practical implementation strategies across various use cases.
The Real Modern Data Stack - Building ETL Pipelines with Open Source Tools
Discover how to build powerful, cost-effective ETL data stacks using open-source tools like sling, dbt, duckdb, and dagster - transforming months of implementation into rapid deployment.
Excel 2019 Pivot Tables Tutorial
Master Excel's Pivot Tables to analyze large datasets efficiently. Learn creation, modification, and advanced features like Power Pivot for data modeling and DAX expressions.
Excel 2019 Intermediate Tutorial
Enhance data management skills with advanced Excel techniques, including list design, pivot tables, charts, data validation, and conditional formatting for improved efficiency and analysis.
Excel 2019 Beginner Tutorial
Comprehensive tutorial covering Excel 2019 basics, from interface navigation to formulas, functions, data organization, and time-saving features for beginners and everyday users seeking to enhance productivity.
How to Run A-B Tests as a Data Scientist
Explore Bayesian A/B testing for data scientists, comparing it with frequentist methods using real data and code. Learn to define experiments, process data, and interpret results effectively.
Wio Terminal TinyML Course - Anomaly Detection for Predictive Maintenance with Blynk IoT Platform
Learn to implement anomaly detection for predictive maintenance using Wio Terminal, TinyML, and Blynk IoT platform. Covers data collection, model training, testing, and integration with IoT systems.
Google Sheets Tutorial for Beginners - 2022 Edition
Comprehensive guide to Google Sheets basics: creating spreadsheets, importing data, formatting, sorting, using functions, filtering, data visualization, and collaboration features.
Do These Pandas Alternatives Actually Work?
Benchmark comparison of Pandas alternatives: Dask, Modin, Ray, and Vaex. Evaluates speed performance on large datasets, offering insights for data scientists seeking faster Python data processing options.
Notion API - Full Course for Beginners
Comprehensive tutorial on using the Notion API with JavaScript, covering data retrieval from PokeAPI, Notion integration, and advanced features like page creation and data refinement.
Visualizing Data with Power BI
Explore data visualization techniques using Power BI, covering key features, data modeling, and creating impactful visualizations for effective business intelligence and reporting.
Introduction to Python for Data Science
Explore Python tools for data science, covering data processing, visualization, and modeling. Learn end-to-end data science through a real-world case study with expert insights.
An AI Engineer Technical Guide to Feature Store with FEAST
Comprehensive guide to FEAST feature store for AI engineers, covering installation, setup, data handling, and integration with machine learning models. Includes hands-on examples and architecture review.
Modern and Postmodern Data Stack - Architecture and Why You Need It
Explore modern and postmodern data stack architectures, their features, and importance in data engineering. Learn why organizations need to evolve their data infrastructure for improved analytics and decision-making.
Data Engineering and Storage Concepts - With ETL, ELT, Warehouse, Lake, and Lake House
Comprehensive overview of data engineering concepts, including storage solutions, ETL/ELT processes, and modern data architectures like data mesh, with practical examples and best practices for effective data management.
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.
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.
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.
Building End-to-End Delta Pipelines on GCP
Explore building end-to-end Delta pipelines on GCP, covering data reliability, performance, and the Bronze-Silver-Gold architecture pattern, with practical code examples and Big Query integration.