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Azure Data Bricks

Azure Databricks training refers to educational programs or courses designed to teach individuals how to use Azure Databricks, a unified analytics platform provided by Microsoft on the Azure cloud. This training typically covers various aspects of data analytics, data engineering, and machine learning using the Azure Databricks platform.

Fee – 75,000/-

“NTA stands as a premier Azure Data Bricks training company located in Lucknow. Renowned for its expertise and commitment to providing top-tier instruction.”

Course Objectives

  • Overview
  • Azure Databricks Overview
  • Databricks Clusters
  • Databricks Notebooks
  • Accessing Azure Data Lake from Databricks
  • Formula1 Project Overview
  • Formula1 Project Overview
  • Spark Introduction

Download Course Content

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Practical Training

3

Mature Syllabus

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Best Stimulations

4

On Job Training

Why should you take Azure Data Bricks Training?

Why NTA?

Hands on Practice

We just don't teach in the class, we make the participants to practice during the class hours and make them experts.

Dedicated Support

We provide any time support for the participants during their course.

Best Faculty

Trainers @ NTA have nearly 21 years of Experience in Software Industry and have Trained thousands of Trainees.

Real-life Case Studies

NTA IT gives Real-time hands on training with live project work.

FAQ's Related Azure Data Bricks Training

Azure Databricks training involves learning the ins and outs of Microsoft’s Azure Databricks platform, a unified analytics service designed for big data processing and machine learning. The training aims to equip individuals with the skills and knowledge needed to leverage Azure Databricks effectively for data analytics, data engineering, and machine learning tasks within the Azure cloud environment.

02 What is Azure Data Bricks Certification?

These certifications generally covered a broader spectrum of Azure data services, including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, etc.

Azure Databricks provides a collaborative workspace where users can perform various data-related tasks, and while it’s designed to facilitate data analysis and machine learning without heavy coding requirements, some level of coding knowledge can greatly enhance its capabilities.

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