Results for "navigating+databricks+workspace"
Status: NewStatus: Free TrialSkills you'll gain: Star Schema, Snowflake Schema, Data Lakes, Data Governance, Data Warehousing, CI/CD, Database Design, Data Pipelines, Data Management, Microsoft Azure, Data Architecture, Extract, Transform, Load, Data Modeling, Data Transformation, Data Integration, Enterprise Architecture, Transact-SQL, SQL, Power BI, Cloud Infrastructure
Status: Free TrialSkills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
Status: NewStatus: Free TrialSkills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, System Monitoring, Architecture and Construction, Data Transformation, Performance Management
Status: Free TrialSkills you'll gain: Databricks, Apache Spark, Microsoft Azure, Data Integration, PySpark, Data Lakes, Jupyter, File Systems, Data Processing, Big Data, Cloud Storage, Cloud Computing Architecture
Status: Free TrialSkills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis
Status: PreviewSkills you'll gain: Data-Driven Decision-Making, Data Management, Database Development
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Star Schema, Snowflake Schema, Data Warehousing, CI/CD, Database Design, Transact-SQL, Data Pipelines, Extract, Transform, Load, Data Architecture, Data Modeling, Data Transformation, Data Integration, Microsoft Azure, Dataflow, Git (Version Control System), Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: PySpark, Apache Spark, Power BI, Data Visualization Software, Big Data, Distributed Computing, Databricks, Dashboard, SQL, Data Processing, Data Transformation, Scalability, Performance Tuning
Status: PreviewEdureka
Skills you'll gain: SQL, Data Management, Database Design, Databases, Apache Spark, Data Integrity, Data Architecture, Data Processing
Status: Free TrialSkills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging
Status: NewSkills you'll gain: Databricks, Data Lakes, Data Transformation, Data Quality, Data Governance, Data Pipelines, Real Time Data, Data Warehousing, Data Management, Terraform, Data Validation, Apache Spark, Data Integrity, Data Storage, CI/CD, Cloud Computing, Scalability, Data Security
Status: Free TrialDuke University
Skills you'll gain: Databricks, Model Deployment, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, Data Pipelines, Hugging Face, Large Language Modeling, Responsible AI, Analytics, Data Analysis, Data Processing, Data Science, Machine Learning
In summary, here are 10 of our most popular navigating+databricks+workspace courses
- Microsoft Data Architecture for Modern Data Stacks: Microsoft
- Mastering Azure Databricks for Data Engineers: Packt
- Design Real-Time Architectures with Spark & Kafka: Coursera
- Fundamentals of Azure Databricks: Packt
- Perform data science with Azure Databricks: Microsoft
- Business Intelligence with Databricks: Edureka
- Data Warehousing & Pipeline Development in Microsoft Fabric: Microsoft
- Data Processing, Exploratory Analysis and Visualization: Microsoft
- Learn SQL with Databricks: Edureka
- Introduction to Big Data with Spark and Hadoop: IBM
