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Data Engineering with Databricks 

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Data Engineering with Databricks
 at 
Databricks 
Overview

A comprehensive introduction to the components of the Databricks Lakehouse Platform that directly support putting ETL pipelines into production

Duration

16 hours

Start from

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Total fee

12,586

Mode of learning

Online

Official Website

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Credential

Certificate

Data Engineering with Databricks
 at 
Databricks 
Highlights

  • Earn a certificate after completion of course from Databricks
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Data Engineering with Databricks
 at 
Databricks 
Course details

Skills you will learn
More about this course

The "Data Engineering" course provides an in-depth exploration of the core concepts, tools, and techniques required to design, build, and manage robust data systems

This course is designed for aspiring data engineers, data architects, and IT professionals who want to master the skills needed to handle and process large volumes of data efficiently

Participants will gain hands-on experience with data engineering practices, from data ingestion and transformation to storage and analytics

The course emphasizes practical skills and real-world applications, equipping learners to create scalable data pipelines and infrastructure that support data-driven decision-making

Data Engineering with Databricks
 at 
Databricks 
Curriculum

Day 1

Module 1: Get Started with Databricks Data Science and Data Engineering Workspace

Module 2: Transform Data with Spark

Module 3: Manage Data with Delta Lake

 

Day 2

Module 4: Build Data Pipelines with Delta Live Tables

Module 5: Deploy Workloads with Databricks Workflows

Module 6: Manage Data Access with Unity Catalog

Data Engineering with Databricks
 at 
Databricks 
Admission Process

    Important Dates

    Aug 26, 2024
    Course Commencement Date

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    Data Engineering with Databricks
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