Master Unified Data Analytics on the Cloud with Real-Time Expertise
Experience a transformative learning journey with our Azure Databricks Training at Vistasparks Solutions. This comprehensive course is designed to equip both individuals and corporate teams with the essential skills needed to leverage the full potential of Azure Databricks. Whether you’re looking to enhance your data analytics skills or seeking to streamline big data workflows, our training program provides the essential resources and knowledge to succeed in today’s data-driven world.Looking to build your career in Big Data, Machine Learning, or Data Engineering? Vistasparks Solutions brings you an industry-relevant, hands-on Azure Databricks Training Program designed by experts who’ve worked on real-world data projects across industries.
Azure Databricks is a powerful, cloud-based analytics platform optimized for Microsoft Azure that combines the best of Apache Spark, MLflow, and Delta Lake in one unified workspace. Whether you’re a data analyst, data engineer, or data scientist, this training will equip you with the skills to build scalable pipelines and intelligent data products.
Understand the Azure Databricks architecture and workspace
Build and deploy Apache Spark-based solutions on Azure
Perform data engineering using Delta Lake
Execute ETL pipelines, real-time data processing, and ML workflows
Leverage Databricks notebooks, Jobs, and Clusters effectively
Integrate with Azure services like Data Lake, Synapse, Blob Storage, ADF, and Key Vault
Optimize workloads using best practices and performance tuning
Our training is ideal for:
✅ Data Engineers and ETL Developers
✅ Data Analysts working on Azure
✅ Machine Learning Engineers
✅ Big Data Developers
✅ Professionals preparing for Databricks certifications
✅ Anyone interested in building a data lakehouse on Azure
Module | Topics Covered |
---|---|
Module 1: Introduction to Azure Databricks | What is Databricks? Architecture, Use Cases, Setup |
Module 2: Workspace & Notebooks | Creating notebooks, notebooks in multiple languages (Python, SQL, Scala) |
Module 3: Apache Spark on Azure Databricks | Spark Architecture, RDDs, DataFrames, Spark SQL |
Module 4: Data Engineering with Delta Lake | ACID Transactions, Schema Enforcement, Time Travel |
Module 5: Machine Learning & MLflow | Model training, tracking, serving, and deployment |
Module 6: Real-time Data Streaming | Structured Streaming, Kafka, Event Hubs Integration |
Module 7: Integration with Azure Services | ADLS, Blob Storage, Azure Synapse, ADF, Key Vault |
Module 8: Security & Access Control | User roles, RBAC, Table ACLs, Workspace security |
Module 9: Performance Optimization | Job execution tuning, Caching, Cost Management |
Module 10: Databricks Jobs & Automation | Scheduling jobs, using Databricks CLI, REST API |
Module 11: Capstone Project | Build an end-to-end data pipeline in Azure Databricks |
✅ Real-Time Experts with 10+ years of experience in Big Data & Cloud
✅ Hands-On Labs to simulate real-world Azure Databricks environments
✅ Project-Based Learning with end-to-end use cases
✅ Flexible Timings – Weekday & Weekend batches
✅ Live Instructor-Led Training and session recordings
✅ Certification Guidance for Databricks & Microsoft Azure exams
✅ Dedicated Job Support post-training
Real-Time Stock Market Analytics using Kafka + Databricks
ETL Pipeline on ADLS using ADF + Databricks + Delta Lake
Predictive Analytics Model Deployment using MLflow
IoT Data Processing with Event Hub + Structured Streaming
Data Lakehouse Architecture Implementation with Spark SQL
This training helps you prepare for:
🎓 Databricks Certified Data Engineer Associate
🎓 Databricks Certified Machine Learning Associate
🎓 Microsoft Azure Data Engineer Associate (DP-203)
We provide mock tests, practice questions, and interview readiness support.
🎥 Live Online Instructor-Led Training
🧑💼 Corporate Training for enterprise teams
🧑🏫 1-on-1 Mentorship on request
Choosing the Azure Databricks Training from Vistasparks Solutions comes with a multitude of benefits:
Our trainers bring years of industry experience, ensuring that the content is not only theoretical but also practical, providing real-world applications and insights that increase retention and utility.
“The training was very detailed and hands-on. I was able to clear my Databricks certification and even built a project for my company using what I learned.”
— Ankit Verma, Data Engineer, Pune
“This course gave me the confidence to work on real-time ETL pipelines using Delta Lake and Azure Data Factory. Highly recommended!”
— Priya S., Bangalore
Let’s take your data skills to the next level with Azure Databricks. Vistasparks Solutions is your trusted partner for cloud and data training.
📧 Email: contact@vistasparks.com
📞 Phone / WhatsApp: +91-8626099654
🌐 Website: vistasparks.com
Also refer to below services :
Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform optimized for Microsoft Azure. It allows data engineers, data scientists, and analysts to process large-scale data, build AI models, and perform real-time analytics.
Our Azure Databricks Training covers:
Azure Databricks fundamentals
Apache Spark architecture
Data ingestion & transformation
Notebooks & Databricks SQL
Delta Lake architecture
Data Engineering & Machine Learning pipelines
Integration with Azure Data Lake, Blob, Synapse, and Power BI
Security, monitoring, and workspace management
This Azure Databricks Training course is ideal for:
Data Engineers
Data Analysts
Data Scientists
Azure Developers
Big Data Professionals
Anyone looking to work on data engineering in the cloud
No, we cover Apache Spark fundamentals from scratch. However, familiarity with Python or SQL and basic data concepts will help you learn faster.
Basic understanding of cloud concepts
Familiarity with Python, SQL, or Scala is helpful
No prior experience with Databricks is required
✅ Hands-on project-based learning
✅ Real-time lab access and assignments
✅ Certified trainers with 10+ years of experience
✅ Flexible learning options (live/recorded)
✅ Resume & interview preparation support
The standard course duration is 4 to 6 weeks, depending on your batch selection and learning mode.
We offer:
📅 Live Instructor-Led Online Training
🧑💻 1-on-1 Personalized Training
🏢 Corporate/Team Training
Yes, our course content is regularly updated to include the latest features of Azure Databricks, Delta Lake, and Spark 3.x.
Yes. We assist learners in setting up a free-tier or trial Azure Databricks environment and guide them on best practices for real-time lab usage.
Absolutely! You’ll work on end-to-end data engineering and ML projects using real-world datasets, notebooks, and integration scenarios.
Yes. Upon successful completion, you will receive a Vistasparks Course Completion Certificate, which you can share on LinkedIn and your resume.
Yes. Our course helps you prepare for certifications such as:
Databricks Certified Data Engineer Associate
Databricks Certified Data Engineer Professional
Microsoft DP-203 (Data Engineering on Azure)
Yes. We offer:
Resume preparation
Interview Q&A
Mock interviews
Project documentation support
Job referrals (where applicable)
Yes. We offer weekend-only, weekday evening, and custom batch options to suit working professionals and students.
Fees vary based on the learning mode. We offer competitive pricing with flexible EMI/payment plans. Contact us for a detailed quote.
Yes. You can attend a free demo session to understand the trainer’s approach, course flow, and clarify your expectations.
We cover use cases such as:
ETL pipelines with Azure Data Lake
Real-time data ingestion with Event Hubs
Data transformation using PySpark
Delta Lake optimization and versioning
Integration with Power BI and Synapse Analytics
Machine Learning lifecycle with MLflow
We cover:
Azure Databricks
Apache Spark
Delta Lake
Azure Data Factory
Azure Data Lake Storage (ADLS)
Power BI
Azure Synapse Analytics
Azure Key Vault
MLflow
Yes. We provide customized corporate training programs tailored to your team’s project requirements and tech stack, along with post-training consulting.
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