Courses

Azure Databricks Online Training

Learn Azure Databricks from Industry Experts

Azure Databricks is a unified analytics engine designed for big data processing and machine learning. It supports advanced analytics including machine learning, graph processing, SQL, and real-time stream analysis, making it a powerful, flexible, and cost-effective platform.

Why Azure Databricks?

Azure Databricks simplifies monitoring and troubleshooting while serving as a comprehensive solution for all analytics tasks through machine learning models.

Supported Azure Data Sources

Azure Databricks seamlessly integrates with a wide range of Azure data sources including:

  • Azure Blob Storage
  • Azure Data Lake Storage Gen1 & Gen2 (ADLS)
  • Azure Cosmos DB
  • Azure Event and IoT Hubs
  • Microsoft Power BI
  • Azure SQL Data Warehouse (Azure SQL DW)
  • Azure Event Hub
  • Apache Kafka for HDInsight
  • Snowflake
  • Azure Synapse Analytics

Career Opportunity

Azure Databricks professionals are highly sought after in the Microsoft Azure ecosystem. If you’re interested in building a career in Azure Databricks but unsure where to start, Version IT is your ideal online training institute. Join us to get the best online training in Hyderabad and become a skilled Azure Databricks expert.

Trainer Profile

  • Trainer: Mr. Sriram (Sr. Consultant)
  • Mr. Sriram is a highly experienced mentor with deep knowledge in Azure Data Engineering.
  • He has worked with top MNCs and brings real-world experience to his training sessions.
  • With his unique and practical teaching methods, he has trained hundreds of students and professionals in Azure technologies.
  • He has guided many aspirants toward achieving successful job placements.
  • His sessions focus on hands-on learning, interview preparation, and real-time project insights.

Module 1: Cloud Computing Concepts

  • What is the “Cloud”?
  • Why cloud services
  • Types of cloud models
    • Deployment Models
    • Private Cloud deployment model
    • Public Cloud deployment model
    • Hybrid cloud deployment model
    • Microsoft Azure,
    • Amazon Web Services,
    • Google Cloud Platform
  • Characteristics of cloud computing
    • On-demand self-service
    • Broad network access
    • Multi-tenancy and resource pooling
    • Rapid elasticity and scalability
    • Measured service
  • Cloud Data Warehouse Architecture
  • Shared Memory architecture
  • Shared Disk architecture
  • Shared Nothing architecture

Module 2: Core Azure services

  • Core Azure Architectural components
  • Core Azure Services and Products
  • Azure solutions
  • Azure management tools

Module 3: Security, Privacy, Compliance

  • Securing network connectivity
  • Core Azure identity services
  • Security tools and features
  • Azure Governance methodologies
  • Monitoring and reportingS
  • Privacy, compliance, and data protection standards

Module 4:Azure Pricing and Support

  • Azure subscriptions
  • Planning and managing costs
  • Azure support options
  • Azure Service Level Agreements (SLAs)
  • Service Lifecycle in Azure

Module 5: Introduction to Azure Databricks

  • Introduction to Databricks
  • Azure Databricks Architecture
  • Azure Databricks Main Concepts

Module 6:Azure Databricks Account Creation

  • Azure Free Account
  • Free Subscription for Azure Databricks
  • Create Databricks Community Edition Account

Module 7:Databricks Cluster Types and Notebook Options

  • Creating and configuring clusters
  • Create Notebook
  • Quick tour on notebook options

Module 8:Databricks Utilities and Notebook Parameters

  • Dbutils commands on files, directories
  • Notebooks and libraries
  • Databricks Variables
  • Widget Types
  • Databricks notebook parameters

Module 9:Databricks CLI

  • Azure Databricks CLI Installation
  • Databricks CLI – DBFS, Libraries and Jobs

Module 10:Databricks Integration with Azure Blob Storage

  • Read data from Blob Storage and Creating Blob mount point

Module 11:Databricks Integration with Azure Data Lake Storage Gen2

  • Reading files from Azure Data Lake Storage Gen2

Module 12:Databricks Integration with Azure Data Lake Storage Gen1

  • Reading Files from data lake storage Gen1

Module 12:Databricks Integration with Azure Data Lake Storage Gen1

  • Reading Files from data lake storage Gen1

Module 13:Reading and Writing CSV files in Databricks

  • Read CSV Files
  • Read TSV Files and PIPE Seperated CSV Files
  • Read CSV Files with multiple delimiter in spark 2 and spark 3
  • Reading different position Multidelimiter CSV files

Module 14:Reading and Writing Parquet files in Databricks

  • Read Parquet files from Data Lake Storage Gen2
  • Reading and Creating Partition files in Spark

Module 15:Parsing Complex Json FilesL

  • Reading and Writing JSON Files
  • Reading, Transforming and Writing Complex JSON files

Module 16:Reading and Writing ORC and Avro Files

  • Reading and Writing ORC and Avro Files

Module 17:Databricks Integration with Azure Synapse

  • Reading and Writing Azure Synapse data from Azure Databricks

Module 18:Databricks Integration with Amazon Redshift(Redshift)

  • Read and Write data from Redshift using databricks

Module 19:Databricks Integration with Snowflake

  • Reading and Writing data from Snowflake

Module 20:Databricks Integration with CosmosDB SQL API

  • Reading and Writing data from Azure CosmosDB Account

Module 21:Python Introduction

  • Python Introduction
  • Installation and setup
  • Python Data Types for Azure Databricks

Module 22:Python Data Types

  • Deep dive into String Data Types in Python for Azure Databricks
  • Deep dive into python collection list and tuple
  • Deep dive on set and dict data types in python

Module 23:Python Functions and Arguments

  • Python Functions and Arguments
  • Lambda Functions

Module 24:Python Modules and Packages

  • Python Modules and Packages

Module 25:Python Flow Control

  • Python Flow Control
  • For-Each
  • While

Module 25:Python Flow Control

  • Python Flow Control
  • For-Each
  • While

Module 26:Python File Handling

  • Python File Handling

Module 27:Python Logging Module

  • Python Logging Module

Module 28:Python Exception Handling

  • Python Exception Handlings

Module 29:Pyspark Introduction

  • Pyspark Introduction
  • Pyspark Components and Features

Module 30:Spark Architecture and Internals

  • Apache Spark Internal architecture
  • jobs stages and tasks
  • Spark Cluster Architecture Explained

Module 31:Spark RDD

  • Different Ways to create RDD in Databricks
  • Spark Lazy Evaluation Internals & Word Count Program
  • RDD Transformations in Databricks & coalesce vs repartition
  • RDD Transformation and Use Cases

Module 32:Spark SQL

  • Spark SQL Introduction
  • Different ways to create DataFrames

Module 33:Spark SQL Intenals

  • Catalyst Optimizer and Spark SQL Execution Plan
  • Deep dive on Sparksession vs sparkcontext
  • spark SQL Basics part-1
  • RDD Transformation and Use Cases

Module 34:Spark SQL Basics

  • Spark SQL Basics Part-2
  • Joins in Spark SQL

Module 35:Spark SQL Functions and UDFs

  • Spark SQL Functions part-1
  • Spark SQL Functions part-2
  • Spark SQL Functions Part-3
  • Spark SQL UDFs
  • Spark SQL Temp tables and Joins

Module 36:Databricks Delta and Implementing Dimensions SCD1 and SCD2

  • Implementing SCD Type1 and Apache Spark Databricks Delta
  • Delta Lake in Azure Databricks
  • Implementing SCD Type with and without Databricks Delta

Module 37:Databricks Integration with Azure Data Factory

  • Azure Data Factory Integration with Azure Databricks

Module 38:Databricks Streaming

  • Delta Streaming in Azure Databricks
  • Data Ingestion with Auto Loader in Azure Databricks

Module 39:Azure Databricks Projects

  • Azure Databricks Project-1
  • Azure Databricks Project-2

Module 40:Databricks Integration with Azure Devops

  • Azure Databricks CICD Pipelines
Fill the form and get 10% discount
WhatsApp