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Azure Data Bricks in Training Hyderabad

Azure Databricks is a simple, fast, and collaborative Apache Spark-based analytics tool. It increases innovation by bringing together data science, data engineering, and business. Making the data analytics process more productive, safe, scalable, and customised for Azure.

40 Modules

with Certifications


After Completion



The Databricks cloud service was created by the same team that began the Spark research project at UC Berkeley, which eventually became Apache Spark and is the dominant Spark-based analytics platform. This new service, called Microsoft Azure Databricks training
offers data science and data engineering teams a fast, simple, and collaborative Spark-based platform on Azure. It provides Azure customers with a unified platform for Big Data processing and Machine Learning.

Best Azure Databricks training is a Microsoft “first party” offering, the product of a year-long effort between the Microsoft and Databricks teams to integrate Databricks’ Apache Spark-based analytics tool into the Microsoft Azure platform.

Azure Databricks training takes use of Azure’s security and connects smoothly with Azure services like Azure Active Directory, SQL Data Warehouse, and Power BI.

  • Apache Spark +Azure Databricks + enterprise cloud = Azure Databricks
  • It’s a fully managed version of the open-source Apache Spark analytics, with optimised storage platform connectors for the fastest data access.
  • It provides a notebook-oriented Apache Spark as-a-service workspace environment that enables interactive data exploration and cluster management simple.
  • It’s a cloud-based machine learning and big data platform that’s safe and secure.
  • Scala, Python, R, Java, and SQL are among the languages supported.
Who can Enrol?
  • Analysts
  • Software Architects
  • Data Scientists
  • Software Developers
  • Data Warehouse Managers and Business Intelligence Specialists
  • Database Developers

As A Prerequisite Aspirant should ideally have some database experience and a basic understanding of SQL. If you come from a Business Intelligence background that is more dashboard-oriented (or have good knowledge of a platform such as Excel, SAS etc). Enoll with Version IT one of the Leading azure databricks institutes in Hyderabad to learn azure databricks course with real time projects.

Career Opportunities with Azure Data Bricks

Many companies are now looking for employees with good practical knowledge and communication abilities, and they are willing to provide competitive salaries for the right candidates. Azure Databricks job roles include Azure Databricks Developer, Azure Data Engineer, Senior Azure Data Engineer,Azure Big Data Engineer,Azure Databricks Administrator, Lead Azure Data Engineer, Azure Databricks Application Developer, Azure Databricks Developer, and so on. This is an excellent opportunity for students or recent graduates who wish to pursue a career in the field of Azure Databricks. We offer Azure Databricks training with real-world projects and can also assist you with resume preparation. Join Version IT’Azure Databricks training in Hyderabad to boost your career.

Topics You will Learn

  • 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
  • Core Azure Architectural components
  • Core Azure Services and Products
  • Azure solutions
  • Azure management tools
  • Securing network connectivity
  • Core Azure identity services
  • Security tools and features
  • Azure Governance methodologies
  • Monitoring and reportingS
  • Privacy, compliance, and data protection standards
  • Azure subscriptions
  • Planning and managing costs
  • Azure support options
  • Azure Service Level Agreements (SLAs)
  • Service Lifecycle in Azure
  • Introduction to Databricks
  • Azure Databricks Architecture
  • Azure Databricks Main Concepts
  • Azure Free Account
  • Free Subscription for Azure Databricks
  • Create Databricks Community Edition Account
  • Reading files from Azure Data Lake Storage Gen2
  • Reading Files from data lake storage Gen1
  • 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
  • Read Parquet files from Data Lake Storage Gen2
  • Reading and Creating Partition files in Spark
  • Reading and Writing data from Azure CosmosDB Account
  • Python Introduction
  • Installation and setup
  • Python Data Types for Azure Databricks
  • 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
  • Python Functions and Arguments
  • Lambda Functions
  • Python Modules and Packages
  • Python Flow Control
  • For-Each
  • While
  • Python File Handling
  • Python Logging Module
  • Python Exception Handlings
  • Python Modules and Packages
  • Creating and configuring clusters
  • Create Notebook
  • Quick tour on notebook options
  • Dbutils commands on files, directories
  • Notebooks and libraries
  • Databricks Variables
  • Widget Types
  • Databricks notebook parameters
  • Azure Databricks CLI Installation
  • Databricks CLI – DBFS, Libraries and Jobs
  • Read data from Blob Storage and Creating Blob mount point
  • Reading and Writing JSON Files
  • Reading, Transforming and Writing Complex JSON files
  • Reading and Writing ORC and Avro Files
  • Reading and Writing Azure Synapse data from Azure Databricks
  • Read and Write data from Redshift using databricks
  • Reading and Writing data from Snowflake
  • Pyspark Introduction
  • Pyspark Components and Features
  • Apache Spark Internal architecture
  • jobs stages and tasks
  • Spark Cluster Architecture Explaine
  • 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
    • Spark SQL Introduction
    • Different ways to create DataFrames
  • Catalyst Optimizer and Spark SQL Execution Plan
  • Deep dive on Sparksession vs sparkcontext
  • spark SQL Basics part-1
  • RDD Transformation and Use Cases
  • Spark SQL Basics Part-2
  • Joins in Spark SQL
  • Spark SQL Functions part-1
  • Spark SQL Functions part-2
  • Spark SQL Functions Part-3
  • Spark SQL UDFs
  • Spark SQL Temp tables and Joins
  • Implementing SCD Type1 and Apache Spark Databricks Delta
  • Delta Lake in Azure Databricks
  • Implementing SCD Type with and without Databricks Delta
  • Delta Streaming in Azure Databricks
  • Data Ingestion with Auto Loader in Azure Databricks
  • Azure Databricks Project-1
  • Azure Databricks Project-2
  • Azure Databricks CICD Pipelines

Let Your Certificates Speak


All You Need to Start this Course


Still Having Doubts?

Yes. Azure Key Vault may be used to store keys and secrets for usage with Azure Databricks.

Yes. Azure Databricks may be used with an Azure Virtual Network (VNET).

Take the following steps:

  1. Provision a service principal and register its key in Microsoft Enter ID (previously Azure Active Directory).
  2. In Data Lake Storage, provide the service principal with the appropriate rights.
  3. Use the service principal credentials in Notebook to access a file in Data Lake Storage.

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