Introduction to Azure Databricks
Explore Azure Databricks: Simplify big data analytics, streamline processing, and enhance data accessibility for informed decision-making.
Introduction to Databricks and Data Lakehouse Architecture
Explore Data Lakehouse, Databricks platform, Spark architecture, and SQL. Learn advantages and common use cases of Databricks for data processing.
Build and Deploy Machine Learning Models on Azure ML Studio
Explore ML fundamentals with Azure, from setup to deployment. Ideal for beginners building their first model using Azure ML studio.
An Overview of MLOps Pipeline: Automating ML Workflow with Azure Cloud
Explore automated ML workflows and maximize collaboration with an overview of MLOps pipelines using Azure cloud offerings.
Salesforce CRM Demo 2024 - Salesforce for Beginners Tutorial
Explore Salesforce CRM basics through a comprehensive demo, learning essential features and functionalities for beginners in 2024.
How to Use Slack for Beginners - Full Demo 2024
Master Slack for efficient business, task, and schedule management with a comprehensive walkthrough of features and best practices for beginners.
Google Workspace for Business Tutorial - 2024
Master Google Workspace for Business essentials in minutes. Learn key features and functionalities to enhance productivity and collaboration in your organization.
OpenSearch: Innovation and Community
Explore OpenSearch's innovation and community impact with insights from Amazon's Director of Product.
How to Boost a Cloud-Native Lakehouse with 2X Performance
Boost cloud-native lakehouse performance using Kubernetes, Spark, and other open-source technologies. Learn to overcome challenges in resource management, task scheduling, and storage interconnection for enhanced analytics.
Practice of Building Real-Time Data Lake Based on Flink
Build a real-time data lake using Flink and Iceberg to address timeliness, diversity, consistency, and accuracy challenges in modern data architectures.
RisingWave: Reinventing Stream Processing in the Cloud Era
Explore cloud-era stream processing innovations, focusing on state management, failure recovery, and elastic scaling. Learn about tiered storage and challenging problems in the field.
Spark Cloud Native Practice - Powered by Apache Kyuubi and Celeborn
Explore building enterprise-level Spark on Kubernetes cloud-native offline computing platforms using Apache Kyuubi and Celeborn. Learn architecture design, lessons, and efficiency enhancements.
Flink K8S Operator Autoscaling - Implementation and Best Practices
Explore Flink K8S Operator's autoscaling capabilities, origins, and future developments. Learn about resource optimization and non-stop updates in Apache Flink's stream processing ecosystem.
Real-Time Data Integration Practice Based on Flink CDC at Alibaba Cloud
Explore real-time data integration using Flink CDC, covering core design, key implementations, and Alibaba Cloud's solutions for data lake and warehouse integration scenarios.
Building a Real-Time Analytics Database
Odkryj tajniki tworzenia bazy danych do analityki w czasie rzeczywistym. Poznaj kluczowe koncepcje i najlepsze praktyki w tej dziedzinie.
Cloud Agnostic Data Platform with DBT, Trino, Iceberg and MinIO
Explore a hands-on, cloud-agnostic data pipeline using TrinoDB, DBT, MinIO, and Apache Iceberg for scalable and lightweight analytics, suitable for both cloud and on-premise solutions.
Google's Cloud Partner Engineer Chief on AI Ethics - Challenges and Benefits of Foundation Models for Enterprises
Explore challenges and benefits of Foundation Models for enterprises, focusing on inadequacies in current ML pipelines for FM development workflows.
Build, Train, and Deploy Models with Amazon SageMaker
Learn to build, train, and deploy machine learning models using Amazon SageMaker through hands-on experience. Gain practical skills in ML model development and implementation on AWS platform.
Simplify ML Pipeline Automation and Tracking Using Kubeflow and Serverless Functions
Simplify ML pipeline automation and tracking with Kubeflow and serverless functions. Learn to streamline your machine learning workflows for improved efficiency and productivity.
Automated Pipeline for Large-Scale Neural Network Training and Inference
Explore cloud-native ML pipeline for automated anomaly detection using BiLSTM models. Learn to manage thousands of models with data collection, training, validation, and deployment techniques.
MLOps at Scale: Predicting Bus Departure Times Using 18,000 ML Models
Explore MLOps at scale through a case study on predicting bus departure times using 18,000 ML models. Learn practical insights for implementing large-scale machine learning projects.