Results for "user provisioning in databricks"
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: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Dashboard, PySpark, Data Pipelines, Business Intelligence, Data Persistence, JSON, Continuous Monitoring, Business Metrics, Data Integrity, Scalability
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: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing
Status: Free TrialSkills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Data Mart, Unix Shell, Big Data, Performance Tuning, Scalability
What brings you to Coursera today?
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: PreviewSkills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Pipelines, Data Transformation, Data Analysis, Microsoft Azure, Analytics, Data Warehousing, Data Integration, Extract, Transform, Load, Data Cleansing, Data Modeling, Dashboard, Data Governance
Status: NewStatus: Free TrialSkills you'll gain: Data Lakes, Data Governance, Data Management, Microsoft Azure, Data Architecture, Data Warehousing, Data Integrity, Data Pipelines, Data Security, Role-Based Access Control (RBAC), Data Transformation, Real Time Data
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: NewStatus: PreviewSkills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Status: NewStatus: Free TrialSkills you'll gain: Cloud Computing Architecture, Amazon Elastic Compute Cloud, Data Visualization Software, Cloud Storage, Dashboard, Scalability, Data Strategy, Data Integration, Real Time Data, Data Storage
In summary, here are 10 of our most popular user provisioning in databricks courses
- Mastering Azure Databricks for Data Engineers: Packt
- Spark and Python for Big Data with PySpark: EDUCBA
- Build Real-Time Dashboards with Spark: Coursera
- Fundamentals of Azure Databricks: Packt
- NoSQL, Big Data, and Spark Foundations: IBM
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
- Building Modern Data Applications Using Databricks Lakehouse: Packt
- Getting Started with Microsoft Fabric: Whizlabs
- Building Data Lakes and Lakehouses with Microsoft Fabric: Microsoft
- Perform data science with Azure Databricks: Microsoft
