Cloudera How To Videos
Comprehensive video series covering Cloudera's data platform, including security, governance, analytics, deployment, and management topics for enterprise-level data solutions.
Big Data Analytics for Beginners
Comprehensive introduction to big data analytics, covering key concepts like Hadoop, Apache Spark, and ETL. Ideal for beginners seeking to understand the landscape and value chain of big data.
Google Cloud Platform Beginner Series
Comprehensive introduction to Google Cloud Platform, covering key technologies, hands-on exercises, and practical applications for beginners in cloud computing.
Building Data Pipelines with Apache Kafka and Confluent
Learn to build streaming data pipelines using Apache Kafka® and Confluent. Covers data ingestion, real-time transformation with ksqlDB, and data egress. Hands-on tutorials included for practical experience.
Data Mesh and Data Domains Tutorials - Data Mesh 101
Comprehensive tutorial on data mesh architecture, covering its principles, implementation, and practical applications in modern data analytics, with hands-on examples using Confluent's platform.
KSQLDB Videos by Confluent
Comprehensive video series on ksqlDB, covering demos, integrations, use cases, installation, core concepts, data manipulation, and production deployment for stream processing with Apache Kafka.
Kafka Tutorial - Spring Boot Microservices
Learn to integrate Apache Kafka with Spring Boot microservices, covering topics, producers, consumers, and building a RESTful API that interacts with the Kafka ecosystem.
Citus Cluster Zero-Downtime Migration - Algolia's Experience
Algolia engineers share their zero-downtime migration strategy from Citus Cloud to Azure, detailing planning, execution, and key takeaways for seamless analytics infrastructure transition.
Azure Data Factory Power Hour - Latest Updates and Demos
Exclusive Azure Data Factory updates and demos, including Power Query integration, managed virtual networks, Teams notifications, and user-assigned managed identities for enhanced data integration capabilities.
High-Level Introduction to MLOps - AI Show Episode 33
Microsoft data scientists discuss MLOps challenges, principles, and best practices, offering insights on successful implementation and tips for overcoming common obstacles in AI projects.
Smart Data Pipelines to Azure - Ingesting and Migrating Data the DataOps Way
Explore StreamSets' DataOps platform for optimizing data ingestion and migration to Azure. Learn about smart data pipelines, integration with Azure services, and how to speed up cloud adoption using modern data engineering practices.
Data Engineering Full Hands-on Course
Comprehensive hands-on introduction to data engineering, covering data lake architecture, Cloudera tools, Apache Sqoop, and practical HDFS and MySQL operations.
Putting MLOps into Practice
Streamline your machine learning lifecycle with MLOps best practices, from project initiation to model deployment and monitoring. Learn practical implementation strategies and reference architectures.
Strategy and Latest Updates for Data Integration at SAP
Explore SAP's data integration strategy, focusing on SAP Data Intelligence's role in orchestrating complex data landscapes and powering the Business Technology Platform for effective hybrid data management.
Building an Agentic Framework for Generative AI Applications
Discover how to build an agentic framework for GenAI applications, focusing on RAG-centric approaches, multilingual queries, and real-time data processing for enhanced customer assistance.
Building a Lakehouse with Apache Hudi - Data Architecture at Kuaishou
Discover how Kuaishou Inc implements Apache Hudi to build a robust lakehouse architecture, exploring real-world applications and technical insights for large-scale data management.
Running Remote Shuffle Service to Solve Apache Spark's Dynamic Resource Allocation Challenge on Kubernetes
探讨利用远程洗牌服务解决Apache Spark在Kubernetes上的动态资源分配挑战,实现存储与计算解耦,提高大数据处理的可靠性和可扩展性。
Data Engineering and Data Science Platform Based on Hadoop/Spark
Hadoop/Sparkを中心とした大規模データ活用基盤の構築と運用。SQL-on-Hadoop、Spark、Pythonを用いたデータエンジニアリングとデータサイエンスの実践的アプローチを紹介。
Crea tu Propio Laboratorio de Big Data con MicroK8s y Spark
Aprende a crear un laboratorio de Big Data utilizando Spark y MicroK8s. Descubre cómo emular una arquitectura de datos y practica habilidades esenciales para el análisis de grandes volúmenes de información.
SQL está en todas partes: Explorando alternativas con Ibis
Descubre Ibis: una biblioteca Python para consultas de datos eficientes en m últiples backends. Simplifica el trabajo con bases de datos SQL y ofrece una alternativa a las complejas consultas tradicionales.
Ingeniería de Datos para la Salud Mental con Calabaza_bot - Charla de Sergio Sanchez
Descubre cómo crear un bot de Telegram para seguimiento de salud mental usando tecnologías open source. Aprende a integrar herramientas como AWS, OpenAI Whisper y dbt para análisis de bienestar personal.