Description

What is Azure Databricks?

Azure Databricks is a cloud-based analytics platform optimized for big data and artificial intelligence (AI) workloads. It is a managed service provided by Microsoft Azure and is based on Apache Spark, an open-source big data processing framework.

Key Features of Azure Databricks:

Unified Analytics Platform – Combines data engineering, data science, and machine learning in one environment.
Optimized Apache Spark – Provides a fast and scalable version of Apache Spark with automatic performance optimizations.
Collaborative Workspace – Supports Python, Scala, SQL, and R for data processing and analysis.
Integration with Azure Services – Seamlessly connects with Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and more.
Auto-scaling and Auto-termination – Dynamically adjusts compute resources and shuts down idle clusters to save costs.
Security and Compliance – Includes Azure Active Directory authentication, role-based access control (RBAC), and encryption.

Use Cases of Azure Databricks:

Big Data Processing – Handles large datasets efficiently.
Machine Learning & AI – Supports model training and deployment with ML flow integration.
Data Engineering – ETL (Extract, Transform, Load) pipelines for structured and unstructured data.
Streaming Analytics – Real-time data ingestion and processing with Apache Spark Structured Streaming.
Business Intelligence (BI) – Enables advanced data analysis and visualization.

The demand for professionals skilled in Azure Databricks is on the rise, reflecting the platform’s growing adoption across various industries.

Job Market Size

Adoption by Companies: Over 24,000 companies have integrated Azure Databricks into their operations, with approximately 55% based in the United States.

Expected Salaries

Salaries for Azure Databricks professionals vary based on role, experience, and location. Here are some examples:

Data Engineers: Positions often offer $125,000 annually.
Azure Developers: The average salary in the U.S. is approximately $126,700 per year, with experienced professionals earning up to $155,500.
Developers at Databricks: The average annual salary is around $132,000.

These figures suggest a strong job market and competitive salaries for professionals with Azure Databricks expertise.

The following topics will be covered in Azure Databricks Class.

Introduction to Azure Databricks

Azure Databricks Workspace Creation

Databricks Cluster Types and Notebook Options

Databricks utilities and Notebook parameters

Databricks Integration with Azure Data Lake Storage Gen2

Reading and Writing CSV files in Databricks

Reading and Writing Parquet files in Databricks

Reading JSON and AVRO files

Databricks Integration with Azure SQL Database

Databricks Integration with CosmosDB SQL API

Workflow creation and Scheduling

Workflow creation through RestAPI

Python Introduction

Python Data Types

Python Functions and Arguments

Python Modules and Packages

Python Flow Control

Python File Handling

python Exception Handling

Pandas Basics

Numpy basics

Pyspark Introduction

Spark Architecture and Internals

Spark RDD

Spark SQL

Spark SQL Intenals

Spark SQL Basics

Spark SQL Functions and UDFs

Delta table

Databricks Streaming

Delta Live table

Optimization and Performance Improvement

Databricks Integration with Git repo

Databricks Integration with Azure Data Factory

Unity Catalog

Databricks Project

Databricks Interview Question and Answers

Prerequisites:

SQL and any programming knowledge required, but Python is preferred.

Duration & Timings :

Duration – 60 Hours.

Training Type: Online Live Interactive Session.

Faculty: Experienced.

Access to Class Recordings.

Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 10 Weeks. July 12, 2025.

Weekday Session – Mon – Thu 8:30 PM to 10:30 PM (EST) – 8 Weeks. August 4, 2025.

Inquiry Now Discount Offer

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