Azure Data Engineer Course in Bangalore
Rating 4.9/5 by 1000+ Students
Looking for Azure Data Engineer Course in Bangalore? Upshot Technologies can be your ideal learning destination. We train freshers, working professionals, and career changers with hands-on practice using simple learning. Our trainers explain topics patiently, so you learn confidently from day one. With 10+ years of training experience, we’ve trained 8500+ students and placed 2000+ learners in reputable companies to pursue their IT career.
10+
Years in training
5,000+
Professionals Trained
98%
Placement Rate
Why Enroll in Our Azure Data Engineer Training in Bangalore?
Learn Azure Data Engineering with Upshot Technologies, a reliable Azure Data Engineer Training Institute in Bangalore. Our training includes practical industry-focused learning, flexible learning methods, and placement support with 10+ years of training experience.
Alumni Achievements & Placements
As a premium Azure Data Engineer Training Institute in Bangalore, we provide expert-led online and classroom training, regular job notifications, live projects, and 100% placement assistance to empower learners in successful cloud data engineering careers.
Tejaswini
Maalathy L
Sowmya R
Vivek H
Poovarasan
Gokul Vinayagamoorthi
Praveen
Krithika Sonu
Abhishek Mishra
Dhipli Kumar
Madhes
Vishnu
Sanchaiy Dilip
Pechetti Lakshmi Sandeep
Sumanth Reddy
Surya Sankar
Trusted By Learners For Approach, Quality & Support
Avg rating from 3000+ reviews (4.9/5)
Azure Data Engineer Course in Bangalore Overview
Azure Data Engineers deal with data that comes from multiple sources. They clean, format, and store data so companies can perform reports and analysis to make smarter decisions. Businesses rely on data today, increasing demand for Azure Data Engineers. Bangalore has evolved into an IT hub over the years. Software companies are recruiting cloud experts who know Microsoft Azure. Azure Data Engineer job opportunities have increased because of this high demand. Both freshers and experienced candidates are taking up Azure Data Engineering courses these days.
At Upshot Technologies, we deliver hands-on training with simple explanations followed by exercises. Trainers ensure students learn each topic before proceeding to practical exercises. Students also learn business-oriented examples rather than just theory. Classes are available on weekends or weekdays in classroom and live online training modes. Learn from anywhere with flexible live online classes.
Course modules cover various Azure Data Engineering domains such as data storage, data movement, data processing, cloud services, and reporting services. Topics are explained one by one, allowing students to learn comfortably. Azure data engineer training students love the personal attention they receive from our trainers because we have small batches.
Azure Data Engineer Course in Bangalore - Upcoming Batches
Choose between Weekday or Weekend batches with flexible online and classroom Azure Data Engineer Training in Bangalore. Learn how to become an Azure data engineer at your own pace with practical learning. Ideal for Students, Working Professionals & Career Shifters.
Curriculums for Azure Data Engineer Training in Bangalore
The Azure Data Engineer Training in Bangalore curriculum covers Microsoft Azure Data Factory, Synapse Analytics, Azure Databricks, Azure Data Lake, ETL pipelines, working with Spark, SQL codes and assignments, and real-time projects to help you gain practical skills for entry-level cloud data engineering jobs.
Module 1: SQL
- Installation Oracle and SQL Workbench
- Create Table
- Insert Records
- DDL Commands
- Select *, Alias, Arithmetic Operations
- NVL, NULL Propagation, DISTINCT
- DUAL
- Literals (||) and ORDER BY
- WHERE Clause
- Functions
- Character Functions
- Number Functions
- Date Functions
- Conversion Functions
- Group Functions
- Constraints
- Joins
- Subqueries
- Set Operators
- OLAP Functions
- Views
- On-the-Fly Queries and WITH Clause
- DCL and DML Commands
- Procedures
- Functions
- Packages
Module 2: Unix/Linux Commands
- Introduction to Linux/Unix
- Navigating the File System (pwd, ls, cd, tree)
- Working with Files and Directories
- Creating, Copying, Moving, Renaming, and Deleting Files (touch, cp, mv, rm, mkdir, rmdir)
- File and Directory Permissions (chmod, chown, chgrp)
- Viewing File Contents (cat, more, less, head, tail)
- Filtering and Transforming Text (grep, sed, awk)
- Sorting and Counting (sort, uniq, wc)
- Splitting and Combining Files (split, cut, paste, join)
- File Archiving and Compression (tar, gzip, gunzip, bzip2, zip, unzip)
- Searching and Finding Files (find)
- Checking Disk Space (df and du)
- Creating and Editing Files Using vi Editor
Module 3: Big Data and Hive
- What is Big Data
- What is Hadoop
- Hadoop Architecture
- HDFS Commands
- How Data is Stored in HDFS
- Managed and External Tables
- Partitions and Bucketing
Module 4: Cloud and Terminologies
- Cloud Fundamentals
- Why Cloud Computing
- Types of Cloud Computing
- Benefits of Cloud Computing
- Evolution of Cloud Computing
- Characteristics of Cloud Computing
- Categories of Cloud Services
- Cloud Deployment Models
- Cloud Storage
- Cloud Terminologies
Module 5: PySpark
- What is Apache Spark?
- Features of Spark vs Hadoop
- Spark Ecosystem Overview (Spark Core, Spark SQL, Spark Streaming, MLlib)
- Why Use PySpark?
- PySpark Architecture: Driver, Executors, Cluster Manager
- Working in Local Mode and Cluster Mode
- Creating and Using SparkSession
- What are RDDs?
- Creating RDDs
- Transformations vs Actions
- Common Operations (map, filter, flatMap, reduce, collect)
- RDD Persistence and Caching
- DataFrames vs RDDs
- Creating DataFrames from Various Sources (CSV, JSON, Parquet)
- Schema Inference and Manual Schema Definition
- DataFrame Operations: select, filter, groupBy, agg, orderBy, join, dropDuplicates
- Working with Dates, Strings, and Null Values
- DataFrame Transformations vs Actions
- Using SQL Queries on DataFrames
- Registering Temporary and Global Views
- Grouping and Aggregation Functions (count, sum, avg, min, max)
- Window Functions (row_number, rank, lag, lead)
- What is a User-Defined Function (UDF)?
- Creating and Using UDFs in PySpark
- Reading Data from Multiple Files and Directories
- Partitioning and Bucketing
- Caching and Persistence
- Broadcast Joins vs Shuffle Joins
- Capstone Project / Mini Project
- PySpark Interview Questions
Module 6: Azure Databricks
- Azure Storage
- Fundamentals of Azure Storage
- Azure Data Lake Storage Gen2
- Introduction to Azure Databricks
- Azure Databricks Clusters and Notebooks
- Architecture of Azure Databricks
- Azure Databricks Account Creation
- Creating, Managing, and Deleting Databricks Resources
- Databricks File System (DBFS)
- Utility Functions and Wrapper Notebooks
- Databricks Widgets
- Mount Points in Databricks
- Databricks CLI
- Accessing Azure Storage Accounts Using Different Access Methods
- Azure Delta Lake
- Understanding Data Lakes
- Introduction to Delta Lake
- Delta Lake Hands-on Practical
- Creating Tables on Data Stored in Delta Lake
- DML Operations on Delta Tables
- Time Travel in Delta Tables
- Performance Benefits of Delta Tables
- Azure Delta Lake Architecture
- Medallion Architecture Layers
- Change Data Feed (CDF)
- Delta Lake Internal Architecture
- Bronze, Silver, and Gold Layers
- Unity Catalog
Module 7: Azure Data Factory
- Introduction to Azure Data Factory (ADF)
- Data Transfer
- Data Transformation
- Workflow Orchestration
- Data Transfer from RDBMS to Azure Data Lake Storage Gen2 (ADLS Gen2)
- Azure SQL Databases
- Data Transfer from Azure SQL Database to ADLS Gen2
- Data Ingestion
- Create, Monitor, and Manage ADF Pipelines
- Different Types of Connectors
- Mapping Data Flows and Pipeline Orchestration
- ADF Triggers
- Linked Services
- Parameters and Pipeline Parameterization
- Organizing ADF Pipelines
- Scheduled Triggers and Storage Events
- End-to-End Pipeline Development
Module 8: Azure Synapse
- Data Warehousing Transformation in Azure
- Data Ingestion Pipeline Using Azure Synapse Analytics
- Pipelines and Mapping Data Flows
- Compute Platform Using SQL Pools and Mapping Data Flows
- Dedicated vs Serverless SQL Pools
- Apache Spark Pools
- External and Native Table Types
- Creating and Managing Different Types of Tables
- OPENROWSET and Reference Mapping Types
- Querying Data in Azure Data Lake Storage Gen2 (ADLS Gen2)
- Data Lakehouse Architecture
- Data Lakehouse Features and Benefits
- Data Warehouse Units (DWU)
- Table Distribution Types
- Data Warehousing Terminologies, SCDs, Facts, and Dimension Table Loading
- Data Management and Curation Using Dedicated SQL Pools with Spark
- Serverless SQL Pool with Spark ETL
- Azure Synapse Analytics Overview and Summary
- Serverless SQL Pool: OPENROWSET and External Tables
- COPY Command
- Distribution Types in Detail
- Dedicated SQL Pool: Control Node, Compute Nodes, Distribution, PolyBase, and COPY
- Spark SQL Pool: Spark Tables and End-to-End Pipeline Development
Module 9: CI/CD
- Overview of Git and GitHub
- Git Installation and GitHub Account Creation
- Git and Visual Studio Code Installation
- Essential Git Commands
- Creating Remote Repositories Using GitHub
- Creating Local Repositories Using Git
- Working on Existing Projects Using Fork
- Branching in Git
- Reverting to Previous Code Versions
- Git Stash Command
- Handling Merge Conflicts
- Branching Strategy and CI/CD Stages
- Git Branching Structure
Module 10: 11. Interview Preparation (Resume and Interview Questions)
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Our Talented Azure Certified Trainers Profile
Our lead Azure trainer has 10+ years of industry experience. He has trained employees working at corporate companies in India. He has implemented big data projects on the cloud for more than 10 multinational companies. His experience gives him the knowledge to understand what companies require from entry-level candidates. His teaching methodology is friendly and easy to understand. Students receive personal attention from day one through online and classroom training sessions.
Industry Recognized Certification From Upshot Technologies
On completing the course, learners receive an Azure Data Engineer Certification in Bangalore from Upshot Technologies. This certificate adds value to your resume and helps you build trust with employers. It also helps you perform better in technical interviews with top IT companies.
5,000+
Students Trained
97%
Placement Success record
Azure Data Engineer Training at Low Fees in Bangalore
Azure Data Engineer Course in Bangalore is priced reasonably to keep it affordable for students. We have introduced easy payments so that students can start learning without any financial burden.
Classroom Training
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Book Demo Classes of Azure Data Engineer Training in Bangalore!
Enroll in the best Azure Data Engineer Online & Offline course in Bangalore to acquire in-demand and high-paying skills.
Azure Data Engineer Course for Freshers & Professionals in Bangalore
Our Azure Data Engineer Course in Bangalore is designed keeping learners from all backgrounds in mind. Whether you are a fresher or an experienced professional, you can join this course to learn Microsoft Azure. Fresh graduates get a clear understanding of the basics of cloud computing. Professionals learn Azure Data skills to upgrade their careers. Azure Data Engineer Course for Freshers in Bangalore allows students to learn what the industry expects from freshers. Practical assignments help students gain confidence and prepare for real-world project experience.
Azure Data Engineer Course for Professionals in Bangalore helps software developers, database administrators, test professionals, and data analysts transition their career into cloud data. Professionals enroll in this course to enhance their job prospects and earn a higher salary. Candidates who searched for Best Azure Data Engineer Training in Bangalore ended up joining Upshot Technologies. Students like the way we teach concepts and provide continuous support through trainers.
Azure Data Engineer Training in Bangalore with Placement
Our mentors have contacts with startup companies, medium-scale companies, and well-established IT companies seeking candidates with Azure Data skills. The placement process starts once students begin their training and not after course completion. Students consider Upshot Technologies among the Best Azure Data Engineer Courses in Bangalore due to the practical sessions, personal attention, and placement support. Our main objective is to produce confident professionals, not just students who have completed a course.
Co-founders Krupakaran and Prabhu have helped students from varied educational backgrounds start their careers after training from Upshot Technologies. Many students continue to receive career advice from us after they join their first company. Explore Courses like Azure Data Engineer training and placement in Bangalore with us and see yourself grow in your career. Azure professionals who searched for Azure Data Engineer institutes in Bangalore appreciated the experienced trainers we have at Upshot Technologies.
Candidates looking for the best Azure Data Engineer training center in Bangalore should consider us because we offer classroom training, online training sessions, and personal mentoring for students. Students who rated us well for Azure Data Engineer Training in Bangalore mention that we use real-life examples to teach every concept before practical implementation.
Azure Data Engineer Training in Bangalore FAQ's
Students who look for Azure Data Engineer Training in Bangalore online often have these questions. We have compiled the most frequently asked questions by freshers and working professionals.
Which is the best Azure Data Engineer Training Institute in Bangalore?
Upshot Technologies is the best Azure Data Engineer Training Institute in Bangalore. We has experienced trainers who teach with practical knowledge. We have small batches, allowing students to learn with personal attention. Trainers help students with placements.
Is Azure Data Engineer training with placement in Bangalore?
Yes. Learners get help with resumes, mock interviews, interview tips, and placement support throughout the course.
Is Azure Data Engineer training suitable for beginners?
Beginners should look for a course that teaches basic topics before starting practical exercises. Upshot Technologies provides a learning method that’s easy for beginners.
Can I join an Azure Data Engineer course online?
Yes. Live online training gives you the benefit of trainer assistance, live practical sessions, and doubt clearing just like our classroom training sessions.
Which Azure Data Engineer institute near me gives practical training?
Upshot Technologies offers practical sessions with real-time examples. Students get assignments to practice what they learn along with help from trainers.
How long will Azure Data Engineer training take?
Students can complete the training in 2 to 3 months based on the batch they select.
Is Azure Data Engineer a good career in India?
Yes. Azure Data Engineer is a promising career because lots of companies hire engineers to move their data to the cloud.
Can I get a job after completing this Azure Data Engineer course if I’m a fresher?
Yes. Fresh candidates who practice what they learn, complete assignments, and appear for interviews with confidence can land a good job.
Do I need to know coding before joining Azure Data Engineer?
No. If you have a basic computer background, you can join the course. Trainers will start teaching from the basics.