Data Engineering
Accelerate your big data and AI skills with our Azure Databricks Training in Pune. This course is designed to help you harness the power of Apache Spark on Microsoft Azure for large-scale data processing, machine learning, and real-time analytics. Learn to build scalable data pipelines, run advanced analytics, and collaborate through an interactive workspace—all with hands-on guidance from industry experts. Whether you're aiming to become a Data Engineer, Analyst, or Machine Learning Specialist, this training will give you a strong competitive edge.
HIGHLIGHT
- Placement Support
- Mode - Online / Offline
- HR Interaction
- Practical Learning
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Course Overview
Azure Databricks (ADB)
Azure Databricks Training in Wakad, Pune – Classroom & Online 2025
Datavetaa delivers the most comprehensive Azure Databricks Training in Pune (Wakad), ideal for IT professionals, cloud engineers, and AI enthusiasts looking to upskill in big data, ETL, and machine learning.
This course goes beyond basics—covering advanced Spark programming, Delta Lake optimization, real-time streaming, and enterprise-level data pipelines. With real-world case studies, team collaboration projects, and expert mentorship, you’ll gain the confidence to work on enterprise-grade cloud analytics solutions.
Our Key Features
Unlock your potential with our comprehensive training courses designed to provide you with practical knowledge and skills. Here’s what you can expect from our programs:
Placement Support
We provide complete assistance to secure placements.
Resume Building
Assistance in building a professional resume that stands out.
Flexible Learning
Choose between online or classroom training as per your convenience.
Practical Learning
Engage in real-time projects for a hands-on learning experience.
HR Interaction
Regular HR sessions to prepare you for the corporate world
Mock Interviews
Practice interviews to boost your confidence.
Certified Trainer
Learn from certified trainers with extensive industry experience.
Industry Networking
Connect with professionals in your field to build a strong network.
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Azure Databricks (ADB) Training in Pune
Accelerate your big data and AI skills with our Azure Databricks Training in Pune. This course is designed to help you harness the power of Apache Spark on Microsoft Azure for large-scale data processing, machine learning, and real-time analytics. Learn to build scalable data pipelines, run advanced analytics, and collaborate through an interactive workspace—all with hands-on guidance from industry experts. Whether you're aiming to become a Data Engineer, Analyst, or Machine Learning Specialist, this training will give you a strong competitive edge.
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Why Choose Our Azure Databricks (ADB)?
Expert Trainers
👨🏫 Learn from Microsoft-certified professionals and industry experts with 10+ years of hands-on experience in BI and data
100% Placement Assistance
💼 Beyond training, we guide you with resume building, mock interviews, and direct hiring drives to land your dream job.
Flexible Learning Options
📅 Choose the mode that suits you best — online, offline, weekend, or hybrid batches designed for working professionals and freshers.
Real-World Projects
📊 Build portfolio-ready projects using real datasets so you can showcase actual skills, not just certificates.
Career-Focused Training
🎯 From interview prep to corporate case studies, our programs are designed to make you job-ready from Day 1
Microsoft-Backed Curriculum
🏆 Our curriculum is Microsoft Certified, regularly updated to align with the latest industry tools and technologies.
Azure Databricks (ADB) Certification Course Curriculum
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Who Should Attend Our Data Warehousing Training in Pune?
Our Data Warehousing Training in Pune is ideal for:
- 🔹Professionals seeking to enhance their technical and analytical skills.
- 🔹Managers aiming to understand and implement effective business solutions.
- 🔹Engineers or specialists focused on designing and managing data systems.
- 🔹Anyone interested in pursuing a career in data management and analytics.
- 🔹Students or graduates looking to build foundational knowledge in data and technology.
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