Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Marketing
Cybersecurity
Machine Learning
Circuits and Electronics 1: Basic Circuit Analysis
Academic Writing Made Easy
Nutrition, Exercise and Sports
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn to deploy and optimize Apache Spark on Kubernetes with hands-on demos, covering environment setup, application sizing, performance tuning, and monitoring for efficient data pipeline management.
Explore Delta Lake merge optimization techniques, including inner and full outer joins, partition pruning, and file pruning. Learn tips for handling large merges efficiently.
Explore building a cloud data lake using Databricks and AWS. Learn about data lake architecture, AWS services, Delta Lake for reliability and performance, and best practices for implementation.
Learn to leverage Data Build Tool (DBT) with Databricks and Delta for efficient data lake management, including SQL-first approach, upsert capabilities, and Azure integration for enhanced observability.
Learn how to implement stateful streaming with Spark, focusing on updating decision logic at runtime for real-time offer personalization in loyalty programs like PAYBACK.
Automate ML model experimentation and tracking using MLflow on Databricks. Learn to streamline data preparation, model development, and artifact management for efficient machine learning workflows.
Learn to build and deploy production-ready machine learning pipelines using Python, Databricks, and MLflow. Explore training and prediction workflows, model registration, and deployment options for both batch and on-demand processing.
Efficient data encryption solution for privacy compliance using Apache Spark and Delta Lake. Automates consumer deletion requests, enhances security, and maintains data integrity while ensuring accessibility when needed.
Explore techniques to enhance Delta Lakehouse query performance, including data skipping, optimizing Z-Order, SQL partitions, and Delta Cache. Learn to analyze and tune queries for better results.
Discover how DataSentics built an MLOps platform around MLflow to streamline model productionalization, reducing deployment time to minutes. Learn about real-life experiences, platform demo, and lessons learned.
Explore production-grade MLflow serving: containerization, custom middlewares, monitoring, logging, and performance optimization for high-scale deployment of machine learning models as REST API endpoints.
Learn how Criteo scaled MLflow to handle massive data volumes, including horizontal scaling, monitoring, SSO integration, and hadoop cluster integration for data scientists.
Explore Delta Lake's transaction log: its structure, functionality, and role in ACID transactions, metadata handling, time travel, and concurrent operations. Gain insights into this core component.
Explore key digital ethics principles and real-life examples of ethical solutions in technology. Learn about safety, privacy, transparency, and responsible innovation in uncertain times.
Explore data privacy techniques for Apache Spark, including offensive and defensive approaches, k-anonymity, and quasi-identifiers. Learn implementation strategies and how Databricks Delta enhances dataset privacy.
Get personalized course recommendations, track subjects and courses with reminders, and more.