Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks
The Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks equips data engineers and analytics professionals with hands-on skills to build production-ready data solutions using Databricks, Spark, and Delta Lake. It solves the challenge of scaling data pipelines securely, with 73% of Fortune 500 companies now using Azure Databricks for real-time analytics. You’ll master ETL orchestration, schema enforcement, and Unity Catalog governance.
This course prepares learners for the Microsoft Certified: Azure Data Engineer Associate (DP-203) certification, requiring a 700/1000 passing score on the $165 exam. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, ensuring practical mastery. Graduates gain in-demand expertise to drive data modernization and advance into cloud analytics leadership roles.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks is designed for data engineers, data analysts, and cloud architects seeking to master modern data lakehouse architectures on Microsoft Azure. This course prepares learners for the Microsoft Certified: Azure Databricks Data Engineer Associate certification, equipping them with skills to build scalable analytics solutions using Azure Databricks. With Databricks appearing in 16.8% of data engineer job postings and Azure cited in 34% of roles, professionals trained in this stack are positioned at the intersection of two high-demand technologies. The workshop serves individuals aiming to design production-grade data pipelines and analytics workflows within enterprise environments.
Participants engage directly with core technologies including Apache Spark, Delta Lake, Unity Catalog, Azure Data Factory, Azure Synapse Analytics, and Power BI within the Azure portal environment. Through hands-on labs, students configure Spark clusters, implement ACID transactions and schema enforcement using Delta Lake, and build end-to-end ETL pipelines with Delta Live Tables. A key project involves orchestrating automated workloads using Databricks Workflows (Lakeflow Jobs) to process real-time data streams, enabling reliable analytics at scale. Learners also apply data governance through Unity Catalog and integrate with Microsoft Purview, simulating real-world scenarios encountered in production data platforms.
This training advances careers by preparing attendees for the Microsoft Certified: Azure Databricks Data Engineer Associate credential, recognized across industries for validating expertise in modern data engineering. Certified professionals command competitive salaries, with Databricks data engineers averaging $129,716 annually in the U.S., and senior roles reaching $150,000–$190,000. Koenig Solutions enhances this path with Guaranteed-to-Run scheduling and official Microsoft courseware, ensuring consistent access to expert-led instruction. Graduates emerge ready to lead data pipeline development, optimize analytics workloads, and drive data-driven decision-making in cloud-first organizations.
Prerequisites
- Strong understanding of Azure Databricks workspaces and Unity Catalog concepts is essential for mastering the Microsoft Azure Data Lakehouse Analytics Solution with Azure Databricks.
- Familiarity with SQL and Python programming enhances your ability to perform data engineering tasks efficiently within the Azure environment.
- Knowledge of core data engineering principles and data warehouse concepts is crucial for designing effective data lakehouse solutions on Microsoft Azure.
- Hands-on experience with Apache Spark in Azure Databricks is vital for processing large-scale data seamlessly in the cloud.
- A solid grasp of cloud storage fundamentals in Microsoft Azure enables you to optimize data storage and retrieval for analytics.
- Skills in creating and managing ETL pipelines using notebooks or Lakeflow Spark Declarative Pipelines are key to automating data workflows in Azure Databricks.
Certification Exam
Everything you need to know about the Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks certification exam
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Azure Databricks Data Engineer
- Data Engineering Specialist
- Cloud Data Platform Engineer
- Lakehouse Solutions Architect
- Data Pipeline Developer
- Azure Analytics Engineer
Companies Hiring
and 5,000+ organizations worldwide seeking Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
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★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
-
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified
-
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks training course
Is the certification exam included in the Microsoft Azure Technical Workshop: Implement a Data Lakehouse Analytics Solution with Azure Databricks training, and what is the exam cost?
What training formats are available for this workshop, and does Koenig offer Guaranteed-to-Run scheduling?
How long is lab access provided, and what type of environment is used during the Microsoft Azure Technical Workshop?
What is Koenig's rescheduling and cancellation policy for this Azure Databricks workshop?
What is the format, number of questions, passing score, and time limit for the DP-750 certification exam?
How long is the Microsoft Certified: Azure Databricks Data Engineer Associate certification valid, and what is the renewal process and cost?
What post-training support does Koenig provide after completing the Azure Databricks workshop?
What prerequisites or prior experience are recommended before attending this technical workshop?
What career impact and salary increase can professionals expect after earning the Azure Databricks Data Engineer Associate certification?
How does instructor-led training compare to self-study for preparing for the DP-750 exam?
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