DP-3011: Implementing a Data Analytics Solution with Azure Databricks

Last Updated: 04-02-2025

The DP-3011: Implementing a Data Analytics Solution with Azure Databricks course provides professionals with the skills needed to build, deploy, and manage scalable data analytics solutions on Azure Databricks. Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform designed to process and analyze massive amounts of data. In this course, you’ll explore key features of Azure Databricks, including data engineering, data wrangling, and machine learning, as well as how to use the platform’s powerful tools for analyzing big data. You’ll learn how to implement end-to-end analytics workflows, leverage Apache Spark for real-time and batch processing, and integrate Databricks with other Azure services like Azure Data Lake, Azure Synapse Analytics, and Power BI. This hands-on course is designed to help you gain the skills required to build advanced data analytics solutions in Azure using Databricks, preparing you for real-world business intelligence and data engineering scenarios.

Schedule & Fee
Learning Objectives
Prerequisites
Target Audience
Course Modules
FAQs

Schedule	Learners	Course Fee (Incl. of all Taxes)	Register Your Interest
December 20^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		10% Off $320 $288 Fast Filling! Hurry Up.
December 21^st 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		10% Off $320 $288
December 22^nd 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours) Guaranteed-to-Run		10% Off $320 $288
December 27^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		10% Off $320 $288
December 28^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		10% Off $320 $288
January 03^rd 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 04^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 05^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 10^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 11^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 12^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 17^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 18^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 19^th - 20^th 06:00 AM - 10:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 26^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours) Guaranteed-to-Run		20% Off $320 $256

Course Prerequisites

Basic knowledge of Azure services and cloud computing concepts.
Familiarity with SQL and Python programming languages.
Experience with data engineering concepts, such as data transformation and data loading, will be helpful.
Understanding of big data technologies like Apache Spark or Hadoop is beneficial but not required.
No prior experience with Azure Databricks is necessary, but a strong foundation in data analytics will enhance the learning experience.

Learning Objectives

By the end of the DP-3011: Implementing a Data Analytics Solution with Azure Databricks course, you will be able to:

Understand the core architecture and features of Azure Databricks and how it integrates with the broader Azure ecosystem.
Set up and configure an Azure Databricks workspace, including the creation of clusters and notebooks.
Use Apache Spark for large-scale data processing, both in batch and real-time.
Perform data wrangling and transformation using Spark SQL, PySpark, and DataFrames in Databricks.
Implement data pipelines in Databricks using Delta Lake for optimized data storage and management.
Work with Azure Data Lake, Azure Synapse Analytics, and other Azure services to build a comprehensive data analytics solution.
Integrate machine learning models within Azure Databricks to develop advanced predictive analytics solutions.
Visualize and present data analytics insights using Power BI and Databricks for effective decision-making.
Optimize and troubleshoot Databricks jobs and workflows for performance and scalability.
Prepare for the DP-3011 certification exam and gain hands-on experience in building and managing data analytics solutions using Azure Databricks.

Target Audience

This course is ideal for:

Data engineers and data analysts looking to master data analytics and data engineering with Azure Databricks.
Business intelligence professionals who need to work with large datasets and analyze them using Apache Spark in Azure.
Data scientists seeking to integrate their machine learning models into a scalable analytics pipeline on Databricks.
Cloud professionals who want to implement real-time and batch data analytics solutions on Azure Databricks.
Professionals preparing for the DP-3011 certification exam and aiming to work with Azure Databricks for advanced analytics and machine learning.

Course Modules

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