Real-Time Image Processing AI/ML with Jupyter Notebooks
Explore real-time image processing using AI/ML techniques with Jupiter notebooks, enhancing your skills in cutting-edge technology applications.
Realtime Stock Market Anomaly Detection Using Machine Learning - End-to-End Data Engineering Project
Develop an end-to-end data engineering project for real-time stock market anomaly detection using Quix Streams, Redpanda, and Docker. Learn to build a complete data pipeline and deploy an advanced ML model.
Building Realtime Data Warehouses from Scratch - End-to-End Data Engineering Project
Design and implement a real-time data warehouse with Apache Airflow, Kafka, and Pinot. Create custom hooks, ingest batch and streaming data, and visualize evolving data using Apache Superset.
Scaling Experimentation to 20 Billion Users
Discover insights on scaling experimentation to billions of users, learn best practices, and explore lessons from Statsig's rapid growth in product analytics and decision-making.
Extreme Self-Service: Turning Data Consumers into Data Constructors
Empower data consumers to create their own products with minimal training. Learn best practices, community building, SQL literacy promotion, and guard rail establishment for self-service analytics.
Extinguishing the Garbage Fire of ML Testing - Improving Reliability and Quality in Machine Learning
Explore innovative ML testing strategies, focusing on observability, data reliability, and honoring Data Scientists' workflows to improve quality and efficiency in ML development.
Writing Unit Tests for Data Science Code
Discover software engineering best practices for testing data science code, including mocking data and handling complex scenarios in machine learning projects.
Behind the Hype - Architecture Trends in Data
Explore current data architecture trends with a seasoned engineer, cutting through industry hype to uncover underlying principles and ideals.
The Metadata-Driven Data Warehouse
Streamline data warehouse development using metadata-driven approaches. Learn efficient techniques for Insert/Update/Delete operations and pipeline management.
Cognitive Services Extravaganza - Understanding Pre-Built AI for Developers
Explore Microsoft's Cognitive Services for easy AI integration. Learn pre-built AI applications, their use cases, and how to leverage them in your development projects.
Automated Machine Learning on Azure - Comparing Azure ML Service and Azure Databricks
Explore AutoML on Azure Machine Learning Service and Azure Databricks to quickly build and deploy ML models, reducing time and expertise required for preprocessing and model creation.
Introduction to Databricks Delta Live Tables
Accelerate data pipeline development with Databricks Delta Live Tables. Learn setup, ingestion, table creation, pipeline execution, and data validation for faster, more reliable projects.
What's New and Cool in Azure Synapse Analytics
Discover recent updates and new features in Azure Synapse Analytics for end-to-end analytics, with practical demonstrations and scenario-based applications.
Delta Live Tables - Building Reliable ETL Pipelines with Azure Databricks
Build fast, reliable, and scalable ETL pipelines using Delta Live Tables on Azure Databricks. Learn declarative approaches and see demos of simple and complex streaming pipelines.
Model Creation in Azure AutoML and Ingestion Through Excel
Explore Azure AutoML for machine learning, from model creation to Excel integration via VBA, with a focus on practical applications and time-saving techniques.
Power of the People in Your Business - Creating a People-Centric Culture in Tech Organizations
Discover strategies for fostering a people-centric culture, nurturing young talent, and addressing recruitment challenges in the tech industry.
Calculate Evaluation Order in Power BI
Learn practical, visual steps to evaluate CALCULATE expressions with multiple filters/modifiers in Power BI, enhancing your data modeling and visualization skills.
Query Folding in Power Query: Importance for Performance
Discover query folding's importance for Power Query performance and learn factors that can hinder its effectiveness.
Breaking Out of the Habit of Bulk Loading Everything - Lessons from Streaming Data Integration
Explore transitioning from bulk loading to streaming data integration, leveraging Azure services for real-time analytics and long-term storage in data warehousing.
Why the Lakehouse? Understanding Data Lakehouse Architecture
Explore the Data Lakehouse architecture, its comparison to data warehouses, and reasons for implementation. Gain insights into technology options for planning your next data platform.
Visualizing Data for Non-Data Experts - Making Reports Accessible to All
Learn to create accessible data visualizations for all audiences. Identify needs, choose appropriate visuals, and present findings clearly and concisely.