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This intensive program from VISION BOARD is designed for individuals looking to build a strong foundation in Azure Data Engineering, focusing on practical tools and techniques while minimizing complex coding tasks. Gain hands-on experience, learn from industry experts, and get ready to launch your career in just three months.
The 4-Month Azure Data Engineering Program is a comprehensive course designed to equip you with in-demand skills in Azure-based data solutions. Developed by industry experts, the program covers critical concepts, tools, and techniques needed to design, build, and maintain data pipelines and solutions. Through a mix of theory, real-world case studies, and hands-on projects, this course ensures you gain practical expertise to tackle complex data challenges and excel in your career as an Azure Data Engineer.
4-months comprehensive program
Meticulously crafted by experienced faculty
Seasoned industry experts and professionals with extensive experience in ADE and real-world project implementation.
Industry-readiness & securing well paid jobs
Embark on your journey to become an Azure Data Engineering expert today! .
✓Live Master Classes
✓Company referrals
✓Vision Board Lifetime Membership
✓Mock interviews
✓Program in collaboration with HR.
✓Resume preparation and LinkedIn profile building
✓Career Guidance
✓Leading industry course
✓Completion Certificate
✓DP-900,DP-203,DP 600/700,Databricks associate
✓Every day job alerts
Comprehensive preparation designed for your success
Gain expertise in the latest Azure Data Engineering tools and techniques, making you job-ready. .
Work on hands-on projects and case studies that simulate real industry challenges.
Access to career development workshops, resume building, and interview preparation. .
Build connections with industry professionals and potential employers through partnerships.
Support in securing internships and full-time roles with reputed companies.
Stay ahead of the curve with a curriculum aligned to the latest industry trends and technologies.
Learn from seasoned professionals and industry experts with years of practical experience.
Master both theoretical concepts and practical applications in Azure Data Engineering.
Learn from the best in Field
Senior Data Engineer - EY / Ex -WIPRO
Senior Data Engineer - phData
Senior Data Engineer - KPMG
About Vision Board from our successful students
Comprehensive modules covering 40+ subjects
Basics of Object Oriented Programming
Creating Class and Object
Constructors in Python - Parameterized and non Parameterized
Inheritance in Python
Inbuilt Class Methods and attributes
Multi - level and Multiple Inheritance
Method overriding and data abstraction
Encapsulation and Polymorphism
Master Data Pipelines & Data Flow using ADF
Handle Variety of data source like: SQL server. Rest API, CSV/JSON, Parquet ADLS
Incremental & Batch Pipeline
4 Type of Trigger Implementation
Parameterization
Most Important: On - Prem to Cloud Migration End to End
10 Practical ADF Implementation
10 Practical Assessment Scenarios
Pipeline Monitoring Debugging and Performance Optimization
Real time project discussion and master on ADF
Explore core data concept
Explore Relational data on Azure
Explore non-relation data on Azure
Explore Analytics working pn Azure
DP 900 Certification
Azure Data Factory
Azure Synapse Analytics
Azure Stream Analytics
Azure Event Hubs
Azure Data Lake Storage
Azure Databricks
ARRAYS
STRINGS
LINKED LIST
STACK
SORTING
SEARCHING
HASHING
TREES
QUEUE
Undersatnd data and Spark Architectures
Cluster Creation, Notebook Analysis
Azure Databricks Workspace creation, delta tables, spark SQL, Cluster Management
Data Lake
Delta Lake
data Lakehouse architecture
In Depth spark performance optimization
Partitioning bucketing caching, AQE and Many More Techniques
Spark Streaming in Depth
Databricks Project Implementation
Select
Distinct
IS NULL
WHERE
LIKE
Order by
Limit
Case
Rank and Dense Rank
Union and Union all
Exists
Count and its variant
MAx,Min,Sum,Avg,etc
Round, Trunc, Sybstr
Alter, Update, Delete
Create, Insert
Listagg
Level/Connect By
Environment Setup
Spark RDD
Spark Caching
Common Transformation and Actions
Spark Functions
Key-Value Pairs
Aggregate Functions
Working with Aggregate Functions
Joins in Spark
Spark DataFrame
Spark Shared Variables
Custom Accumulator
Spark and Fault Tolerance
Numeric RDD Operations
Per - Partition Operations
END TO END Project Implementation
Chat GPT Tool
Gen AI
Introduction to Microsoft Fabric
Workspace Setup
Data Lakehouse: Deep Understanding
Data Ingestion and Data Processing Part 1
Data Ingestion and Data Processing Part 2 with Spark
Data Warehousing
Data Pipeline and Stream Data
End-to-End Project
Interview Questions Preparation
Company-Based Interview Techniques
Package Negotiation Secrets
Confidence Building
Resume Preparation
LinkedIn Optimization
Find answers to common questions about our program
