callicon +1 210 504 8191
whatsAppIcon +1 210 415 9856
emailIcon info@koenig-solutions.com
koenig-logo
Login
whatsAppIcon +1 210 415 9856
phoneIcon +1 210 504 8191
koenig-logo
All Courses

DP-3027 : Implement a Data Engineering Solution with Azure Databricks Course Overview

DP-3027 : Implement a Data Engineering Solution with Azure Databricks Course Overview

The DP-3027: Implement a Data Engineering Solution with Azure Databricks course equips learners with essential skills to design and implement data engineering solutions using Azure Databricks. This course covers critical topics such as data ingestion, transformation, and optimization, enabling participants to leverage big data technologies effectively.

By the end of the course, students will be able to apply best practices in data management, build scalable data pipelines, and integrate machine learning models. With hands-on exercises and real-world scenarios, attendees will gain practical experience that prepares them for challenges in modern data engineering, making them valuable assets in the field of data analytics.

googleRating

5.0

Trustpilot

Purchase This Course

Fee On Request

♱

  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request

Filter By:

4 Hours Weekends This Month Upto 90 Days

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

happinessGuaranteed_icon

Happiness Guaranteed

  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

happinessGuaranteed_icon

Happiness Guaranteed

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings

images-1-1

1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More
images-1-1

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More
happinessGuaranteed_icon

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More
images-1-1

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More
images-1-1

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

Learn More
Koenig is the ANZ Winner of FY24 Superstar Campaign Winner of the Microsoft’s Asia Superstar Campaign in FY 22

Target Audience for DP-3027 : Implement a Data Engineering Solution with Azure Databricks

DP-3027: Implement a Data Engineering Solution with Azure Databricks offers professionals the skills to design and implement data solutions, focusing on utilizing Azure Databricks for effective data engineering.


  • Data Engineers
  • Data Architects
  • Cloud Solution Architects
  • Business Intelligence Developers
  • Azure Database Administrators
  • Data Scientists
  • Analytics Professionals
  • IT Professionals transitioning to Data Engineering
  • Software Engineers with a focus on data solutions
  • IT Managers overseeing data projects
  • Students and Graduates interested in data engineering careers


Learning Objectives - What you will Learn in this DP-3027 : Implement a Data Engineering Solution with Azure Databricks?

Course Introduction

The DP-3027: Implement a Data Engineering Solution with Azure Databricks course equips students with essential skills in data engineering using Azure Databricks, focusing on data ingestion, transformation, and analytics to drive data-driven decisions.

Learning Objectives and Outcomes

  • Understand the architecture and components of Azure Databricks.
  • Implement data ingestion techniques using Azure Databricks.
  • Perform data transformation and processing using Apache Spark.
  • Develop ETL (Extract, Transform, Load) workflows within Databricks.
  • Utilize Databricks notebooks for collaborative data analytics.
  • Integrate Azure services with Databricks for enhanced data solutions.
  • Implement data security measures and access controls in Databricks.
  • Optimize performance and monitor workloads in Azure Databricks.
  • Use Delta Lake for managing data reliability and integrity.
  • Deploy machine learning models using Databricks features.

Suggested Courses

USD