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Course: DP-3011: Implementing a Data Analytics Solution with Azure Databricks
Learn how to take full advantage of Apache Spark and the powerful clusters running on the Azure Databricks platform to execute large data engineering workloads in the cloud.
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Course duration: 70 hours
DP-3011 Training Objectives
- Configure a development environment in Azure Machine Learning
- Prepare data for model training
- Create and configure a model training script as a command job
- Manage artifacts using MLflow
- Deploy a model for real-time consumption
DP-3011 Course Content: Implementing a Data Analytics Solution with Azure Databricks
Module 1: Explore Azure Databricks
- Introduction to Azure Databricks
- Identifying Azure Databricks workloads
- Description of key concepts
- Data governance using Unity Catalog and Microsoft Purview
- Exercise: Explore Azure Databricks
Module 2: Perform data analysis with Azure Databricks
- Introduction
- Data ingestion with Azure Databricks
- Data exploration tools in Azure Databricks
- Data analysis using DataFrame APIs
- Exercise: Data exploration with Azure Databricks
Module 3: Using Apache Spark in Azure Databricks
- Introduction
- Discover Spark
- Creating a Spark cluster
- Using Spark in notebooks
- Using Spark to work with data files
- Data visualization
- Exercise: Using Spark in Azure Databricks
Module 4: Data management with Delta Lake
- Introduction
- Getting started with Delta Lake
- Managing ACID transactions
- Implementing schema enforcement
- Data versioning and time travel in Delta Lake
- Data integrity with Delta Lake
- Exercise: Using Delta Lake in Azure Databricks
Module 5: Building data pipelines with Delta Live Tables
- Introduction
- Exploring Delta Live Tables
- Data ingestion and integration
- Real-time processing
- Exercise: Creating a data pipeline with Delta Live Tables
Module 6: Implementing workloads with Azure Databricks workflows
- Introduction
- What are Azure Databricks workflows?
- Description of key components of Azure Databricks workflows
- Exploring the benefits of Azure Databricks workflows
- Implementing workloads using Azure Databricks workflows
- Exercise: Creating an Azure Databricks workflow
Prerequisites
No prerequisites
Language
- Course: English / Spanish
- Labs: English / Spanish
________________________________________________________________
Are you interested in this course? Request more information
📧info@nanforiberica.com • 📞+34 91 031 66 78 • 📱 +34 685 60 05 91 (WhatsApp) • 🏢 Our Offices
________________________________________________________________
