Résultats pour « data+engineering »
Pragmatic AI Labs
Compétences que vous acquerrez: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
Compétences que vous acquerrez: Data Pipelines, Data Lakes, Apache Airflow, Performance Tuning, Data Security, Data Transformation, Apache Spark, Disaster Recovery, Data Warehousing, Cloud Infrastructure, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Terraform, Extract, Transform, Load, Data Architecture, Data Integration, Cloud Computing, SQL, Data Governance
Compétences que vous acquerrez: Apache Airflow, Docker (Software), Git (Version Control System), Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Continuous Deployment, Database Management, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, SQL, Automation, Configuration Management, Root Cause Analysis, Python Programming
Compétences que vous acquerrez: Dashboard, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Process Mapping, Extract, Transform, Load, Data Transformation, SQL, Data Pipelines, JSON, Apache Kafka, Data Warehousing, Data Modeling, Pandas (Python Package), Business Intelligence, Data Validation, Data Quality, Performance Improvement, Python Programming
Compétences que vous acquerrez: MySQL, Procédure stockée, Fichier E/S, Tests unitaires, Bases de données, Principes de programmation, Services d'intégration SQL Server (SSIS), IBM DB2, Langage de requête, Programmation en Python, Extrait, Conception de la base de données, PostgreSQL, SQL, Importation/exportation de données, Bases de données relationnelles, Transformation de données, Gestion des paquets et des logiciels, Web scraping, Gestion des bases de données
Duke University
Compétences que vous acquerrez: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Qu’est-ce qui vous amène sur Coursera aujourd’hui ?
Compétences que vous acquerrez: Database Design, Performance Tuning, Data Warehousing, Apache Spark, Data Architecture, SQL, Query Languages, Data Transformation, Disaster Recovery, Database Management, PySpark, Infrastructure as Code (IaC), Cloud Computing Architecture, Distributed Computing, Scalability, Data Pipelines, Performance Analysis, Root Cause Analysis, Cost Management, Resource Management
Compétences que vous acquerrez: Commandes Linux, Apache Hadoop, Réseautage professionnel, IA générative, Apache Spark, Administration de base de données, Importation/exportation de données, Programmation en Python, Bases de données relationnelles, Entreposage de données, Conception de la base de données, IBM Cognos Analytics, Analyse des Données, Web scraping, Gestion des bases de données, NoSQL, Extrait, Science des données, SQL, Pipelines de données
Pragmatic AI Labs
Compétences que vous acquerrez: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
Compétences que vous acquerrez: Scala Programming, Data Pipelines, Test Driven Development (TDD), Apache Airflow, Data Lakes, Apache Spark, CI/CD, Apache Kafka, Data Quality, Data Infrastructure, Cloud Engineering, Data Architecture, Performance Tuning, Unit Testing, Data Transformation, Data Processing, Data Validation, Real Time Data, Big Data, Data Integrity
Snowflake
Compétences que vous acquerrez: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Warehousing, Change Control, DevOps, Cloud Development, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis
En résumé, voici 10 de nos cours les plus populaires sur data+engineering .
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- Modern Data Architecture & Lakehouse Engineering: Coursera
- DataOps: Automation & Reliability: Coursera
- Data Pipeline Engineering & Analytics: Coursera
- Fondements de l'ingénierie des données: IBM
- Applied Python Data Engineering: Duke University
- Performance Engineering for Data Systems: Coursera
- Introduction à l’ingénierie des données: IBM
- IBM Data Engineering: IBM
- Data Engineering with Delta Lake on Databricks: Pragmatic AI Labs
