Databricks on AWS Course Overview

Databricks on AWS Course Overview

Databricks on AWS is an essential course designed for professionals looking to harness the power of cloud-based data analytics. In this course, you will explore critical aspects of Databricks on the AWS platform, including data engineering, machine learning, and collaborative notebooks.

Learning objectives include mastering the integration of Databricks with AWS services, optimizing data pipelines, and leveraging Apache Spark within the Databricks environment. By the end of the course, you will not only understand these concepts but also gain practical skills to apply them in real-world scenarios, enhancing your proficiency in data analytics and driving impactful business decisions. Join us to elevate your data skills to the next level!

Purchase This Course

Fee On Request

  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
  • Select Date
    date-img
  • CST(united states) date-img

Select Time


♱ Excluding VAT/GST

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

  • Live Training (Duration : 24 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

Request More Information

Email:  WhatsApp:

Target Audience for Databricks on AWS

Databricks on AWS is a comprehensive course designed to equip IT professionals with the skills to leverage Databricks for big data analytics and machine learning on the AWS platform.


  • Data Engineers
  • Data Scientists
  • Machine Learning Engineers
  • Business Analysts
  • Cloud Architects
  • Database Administrators
  • Software Developers
  • IT Managers
  • DevOps Engineers
  • Data Analysts
  • System Administrators
  • Technology Consultants


Learning Objectives - What you will Learn in this Databricks on AWS?

Introduction

The Databricks on AWS course equips students with essential skills for leveraging Apache Spark and Databricks for data analytics and machine learning, enhancing their capabilities in processing large datasets on the AWS cloud platform.

Learning Objectives and Outcomes

  • Understand the architecture of Databricks and its integration with AWS.
  • Gain proficiency in launching and managing Databricks clusters.
  • Learn how to utilize Apache Spark for big data processing.
  • Explore data ingestion, transformation, and storage within Databricks.
  • Implement machine learning models using MLlib in Databricks.
  • Gain skills in using notebooks for collaborative data analysis.
  • Understand best practices for optimizing performance in Databricks.
  • Learn to visualize data effectively using Databricks tools.
  • Explore security features to protect data in the cloud.
  • Familiarize with real-world case studies of Databricks implementations in various industries.

Suggested Courses

What other information would you like to see on this page?
USD