Azure Databricks Training in Hyderabad
DABI offers a comprehensive 30-day Azure Databricks Training in Hyderabad covering PySpark, Delta Lake, Spark SQL, data engineering concepts, and real-time project implementation. Gain hands-on experience, expert mentorship, and practical skills to build scalable data solutions and advance your career in cloud data engineering.
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HIGHLIGHTS
A comprehensive course covering from foundational knowledge to advanced topics
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MODULES COVERED
What is Azure Databricks?
Why learn Azure Databricks?
What Will You Learn in Azure Databricks?
By enrolling in our Azure Databricks Training in Hyderabad, you will gain practical, job-ready skills to process big data, build scalable ETL pipelines, and develop powerful cloud data engineering solutions.
Key Modules Covered:
Azure Databricks Overview
Understand Databricks architecture, workspace components, clusters, and Lakehouse concepts.
Azure Setup & Workspace Configuration
Create workspaces, manage clusters, and integrate with Azure services.
PySpark Fundamentals
Learn RDDs, DataFrames, transformations, and actions using PySpark.
Spark SQL
Query structured data efficiently using Spark SQL.
Data Ingestion & Integration
Connect to ADLS, Azure SQL, Blob Storage, APIs, and other sources.
Delta Lake & Lakehouse Architecture
Implement ACID transactions, time travel, and optimized storage.
Data Transformation & ETL Development
Build end-to-end data pipelines for batch and streaming data.
Performance Tuning & Optimization
Improve cluster performance and optimize Spark jobs.
Workflow Automation & Job Scheduling
Create and manage jobs for automated data processing.
Near Real-Time Projects
Work on hands-on projects simulating real-world data engineering scenarios.
Career Opportunities After Azure Databricks Training
After successfully completing Azure Databricks Training in Hyderabad at DABI, you can apply for high-demand roles in cloud data engineering and big data analytics. Companies across IT, finance, healthcare, retail, e-commerce, and startups are actively hiring Azure Databricks professionals to build scalable data pipelines and modern Lakehouse solutions.
Job Roles You Can Apply For:
Azure Databricks Developer
Data Engineer
Big Data Engineer
Cloud Data Engineer
ETL Developer
Spark Developer
Data Platform Engineer
Analytics Engineer
Azure Data Engineer
Data Integration Specialist
With hands-on projects, PySpark, Spark SQL, Delta Lake, Azure integration, performance tuning, and real-time pipeline development, you’ll gain job-ready skills to confidently crack interviews and build a successful career in cloud data engineering
Azure Databricks Training in Hyderabad
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CURRICULUM
⭐ What is Data?
⭐ What is Database?
⭐ What is Big Data?
⭐ What are the challenges of Big Data?
⭐ Why Traditional Databases Doesn’t handle Bigdata
⭐ What is Hadoop?
⭐ How Hadoop overcomes bigdata challenges
⭐ Hadoop Architecture
⭐ Hadoop Daemons
⭐ HDFS
⭐ YARN
⭐ MapReduce
⭐ Spark Architecture
⭐ Spark internals
⭐ Spark RDD
⭐ Spark Data Frame
⭐ Spark Streaming
⭐ What is Databricks?
⭐ Databricks Architecture
⭐ Working in Databricks workspace
⭐ Working with Databricks notebook
⭐ What is DBFS?
⭐ DBFS commands – mkdirs , cp , mv , head, put, rm , rmdir
⭐ How to handle multiple files in DBFS
⭐ How to process the files in DBFS
⭐ How to archive the files in DBFS
⭐ RDD Programming
⭐ Operations on RDD
⭐ Transformations- Narrow
⭐ Transformations -Wide
⭐ Actions
⭐ Loading Data and Saving Data
⭐ Key Value Pair RDD
⭐ Broadcast variables
⭐ Creating Data Frames
⭐ Data Frames internal execution
⭐ Transformations using Data Frame API
⭐ Actions using Data Frame API
⭐ User-defined functions in Spark SQL
⭐ CSV Data
⭐ JSON Data
⭐ parquet files
⭐ Excel files
⭐ ORC file format
⭐ Creating and configuring clusters
⭐ Managing Clusters
⭐ Displaying clusters
⭐ Starting a cluster
⭐ Terminating a cluster
⭐ Delete a cluster
⭐ Cluster Information
⭐ Types of Clusters
⭐ All-purpose clusters
⭐ Job cluster
⭐ Clusters Mode
⭐ Standard
⭐ High Concurrency
⭐ Autoscaling
⭐ Databricks runtime versions
⭐ Historical Data load
⭐ Incremental Data load
⭐ Date Transformations
⭐ Aggregations
⭐ Join Operations
⭐ Window Functions
⭐ Union Operations
⭐ Azure Portal Walkthrough
⭐ What is Subscription?
⭐ What is a Resource Group?
⭐ What is a Resource?
⭐ Overview of Azure Resources / Services
⭐ Azure Data bricks
⭐ BLOB Storage, Data Lake Storage Gen2
⭐ Azure SQL Server, SQL Database
⭐ Key Vault
⭐ Blob storage
⭐ Azure Data Lake storage gen2
⭐ Azure SQL Database
⭐ Synapse
⭐ Azure Key vault
⭐ What is streaming?
⭐ Process streaming using Pyspark API
⭐ Handling bad records
⭐ Stream data into Gen2lake
⭐ Load the data into Tables
⭐ Difference between Data Lake and Delta Lake
⭐ Introduction to Delta Lake
⭐ Features of Delta Lake
⭐ How to create delta table
⭐ How to DML operations in Delta Table
⭐ Merge statements
⭐ Handling SCD Type1 and Type2
⭐ Handling Data Deduplication in delta tables
⭐ Handling streaming Data in Delta Lake
⭐ Delta Lake: Medallion Architecture
⭐ Implement the Bronze Layer (Raw Data)
⭐ Implement the Silver Layer (Cleansed & Transformed Data)
⭐ Implement the Gold Layer (Curated, Business-Ready Data)
⭐ Introduction to workflows
⭐ Create, run and manage Databricks’ jobs
⭐ Schedule Databricks jobs
⭐ Monitor Databricks Jobs
⭐ What are DevOps Repos
⭐ Integrate data bricks notebooks with Repos
⭐ Commit, Sync notebooks to and from Repos
Register for Azure Databricks Training in Hyderabad
What are the advantages of Azure Databricks ? (Azure databricks)
Azure Databricks, Microsoft’s unified analytics platform built on Apache Spark, stands out for its many advantages, making it a preferred choice for organizations looking to process, analyze, and scale big data efficiently. Here are some key benefits:
Advantages of Azure Databricks
User-Friendly Workspace: Azure Databricks provides an interactive and collaborative workspace where data engineers, data scientists, and analysts can work together easily. Its notebook-based environment supports Python, SQL, Scala, and R.
Seamless Azure Integration: The platform integrates smoothly with Azure services such as Microsoft Azure, Azure Data Lake Storage, Azure Synapse Analytics, and Power BI, enabling end-to-end data solutions.
High-Speed Big Data Processing: Powered by Apache Spark, Azure Databricks can process massive datasets quickly. It is ideal for ETL workloads, streaming data, and advanced analytics.
Real-Time Analytics: With support for streaming technologies, Azure Databricks enables businesses to analyze live data and make fast, data-driven decisions.
Advanced Machine Learning Support: The platform includes tools for building, training, and deploying machine learning models. It supports popular frameworks like TensorFlow, PyTorch, and Scikit-learn.
Scalable Performance: Azure Databricks automatically scales clusters up or down based on workload demand, ensuring high performance while optimizing costs.
Strong Security and Compliance: Azure Databricks offers enterprise-grade security with role-based access control, encryption, network security, and compliance with industry standards.
Collaborative Development: Teams can collaborate in real time through shared notebooks, version control integration, and reusable workflows, improving productivity.
Cost-Effective Cloud Solution: Pay-as-you-go pricing allows organizations to control spending while leveraging enterprise-grade analytics capabilities.
Continuous Innovation and Support: Microsoft and Databricks continuously add new features, performance improvements, and integrations. A strong global community also provides learning resources and support.
Why Azure Databricks Training in Hyderabad with DABI Training?
Vinay Tech House offers industry-focused Azure Databricks Training in Hyderabad with real-time, hands-on learning covering Databricks Workspace, Apache Spark, PySpark, SQL, Delta Lake, Data Engineering, ETL Pipelines, and Machine Learning basics. Our expert trainers conduct practical sessions based on live projects and real business scenarios to make you job-ready. All classes are recorded for easy revision, and we provide flexible weekday, weekend, and fast-track batches in both online and classroom modes. With affordable fee structures, this course is ideal for students, working professionals, and corporate teams looking to build strong big data and cloud analytics skills.
Frequently Asked Questions
Yes, our Databricks training includes real-time projects and assignments to give practical experience on industry scenarios.
You’ll gain hands-on experience with Apache Spark, Delta Lake, Databricks Notebooks, Azure Data Lake, and Databricks SQL.
Vinay Tech offers expert trainers, real-time projects, certification guidance, and job assistance tailored to industry demands.
Yes, we provide a free live demo session to help you understand the course structure and trainer expertise.v
Yes, freshers with basic programming knowledge can join. We start from fundamentals and gradually move to advanced topics.
STUDENTS SAY
Azure Databricks Training in Hyderabad
CERTIFICATION
Upon successful completion of the Power BI Course, you’ll be eligible for a course completion certificate from us, recognizing your achievement and acquired skills.
