Databricks Courses

July 13, 2024 Comments Off

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Databricks Courses

What is Databricks used for? Our candidates use Databricks to process, store, clean, share, analyze, model, and monetize their datasets with solutions from BI to machine learning. Use the Databricks platform to build and deploy data engineering workflows, machine learning models, analytics dashboards, and more.

Databricks Overview

Why Databricks?

Overall Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks.

When is it Offered?

Part-Time

Fast forward your career in the IT industry with a part-time course at School of IT. In turn Part-time courses allow working professionals to transition into a new skill set while working. Moreover at School of IT we are agile and customize a course to the individual.

Full Time

Ready to start a career in IT? Use the Azure Databricks as a full time student at School of IT. Thus beginning your career in Data Analytics.

High School

Learn about the the Databricks and develop a web-based platform for working with Spark. Thus prepare for the future while you’re still in high school. Thus no matter where you are, we come to you! Thus giving you the analytical skills to pursue your dreams!

Corporate

Learn about Analyzing Data with Databricks and up skill yourself or your company while you’re working. Thus no matter where you are, we come to you and give the tools to move up in your company.

Objectives for Databricks Training Courses

Course Objectives.

By the end of the Databricks Courses, students will have usable knowledge of the following:

Course Outline

Introduction

Overview of Databricks and Apache Spark
Understanding the Databricks architecture

Getting Started

Setting up the Environment
Setting up and configuring Databricks
Navigating the Databricks user interface
Creating a Databricks workspace

Working with Data in Databricks

Connecting to an Apache Spark data source
Understanding the basics columns and datatypes
Managing file system into Notebooks

Managing Jobs and Clusters

Creating and configuring clusters
Creating jobs using Notebook
Running jobs
Viewing jobs and job details

Using Delta Lake in Databricks

Loading data into Delta Lake
Managing data in Delta Lake

Securing Databricks

Managing Databricks security
Managing backup and recovery

Requirements

Basic understanding of data analytics
Knowledge of Apache Spark

Audience

Data Engineers
Data Scientists
Developers

Career Prospects

The career prospects for Databricks graduates is high in demand. The cloud environment and analyzing data is in huge demand: on all platforms and devices and in all countries around the world!