Azure Databricks Course
Build your Skills with DevOpsSchool Certification Training Course Online, Azure Cloud Architect Technologies & helps you become an Azure expert ➔ Learn how to manage Azure resources, and configure and deploy virtual machines. ✔️Enroll now!!
Last updated
Self-paced video
Billed yearly at ₹9,996. Includes complete LMS access for one year, access across the DevOpsSchool course library, 20+ additional courses and 50+ tools. Where a course family has four levels, all levels are included by default.
Live & Interactive
Instructor-led live session, max 8 to 10 hours, with demos, labs, Q&A, practical review and certificate support.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Practical demonstrations and guided examples
- Complete LMS access for one year
- Certificate and learning record support
- Corporate customization available
Practical Azure Databricks Course learning for professionals and teams.
Build your Skills with DevOpsSchool Certification Training Course Online, Azure Cloud Architect Technologies & helps you become an Azure expert ➔ Learn how to manage Azure resources, and configure and deploy virtual machines. ✔️Enroll now!!
What this program covers
This page is structured for learners who need a focused course, certification topic, platform module, product feature, security area or role-specific skill that may not map directly to Foundation, Essential, Intermediate or Advanced levels.
The learning experience still follows DevOpsSchool standards: concept clarity, practical use cases, demonstrations, hands-on tasks, assessment guidance, certification support and post-session LMS access.
Private Azure Databricks Course training for teams and organizations.
DevOpsSchool can align this program to team maturity, current tools, role expectations, compliance requirements, delivery workflow and implementation goals.
- Private online or classroom batch options
- Role-based coverage for engineers, administrators, leads and managers
- Examples can be mapped to internal platforms and use cases
- Useful for onboarding, migration, governance, certification readiness and adoption
Why DevOpsSchool
DevOpsSchool combines practitioner-led explanation, live demonstrations, assignments, LMS access, certificate support and guidance for both individual professionals and corporate teams.
Request corporate proposalThe same course architecture, adapted to this focused topic.
Specialized pages keep the same decision structure as standard level pages, but the content is adjusted to the course objective.
Concepts
Terminology, purpose, architecture, scope and fit inside modern delivery workflows.
Implementation
Configuration, usage patterns, workflows, operating practices and common mistakes.
Integration
Automation, integration touchpoints, delivery process and production readiness.
Validation
Labs, assignments, review questions, certificate support and next-step learning guidance.
Live, self-paced and corporate delivery options.
Fees are intentionally shown only in the hero and once again after the agenda. This section focuses on delivery fit.
| Mode | Duration / access | Best fit |
|---|---|---|
| Self-paced video | One year LMS access | Learners who want flexible pace and broad catalog access. |
| Live & Interactive | Max 8 to 10 hours | Learners who want demos, guided discussion, labs and Q&A. |
| 1:1 Live training | Max 8 to 10 hours, one-to-one | Learners who want to start immediately, at their own pace, with the full attention of the trainer. |
| Corporate | Private team batch | Teams needing customized examples, adoption guidance and rollout support. |
Why this course, what you will achieve, and who should attend.
Use these sections to decide whether the program matches your role, current experience and expected responsibilities.
Why this matters
Azure Databricks Course helps learners build practical confidence in a focused technical, certification or platform topic instead of only reading generic documentation.
Objectives
- Understand the core concepts and usage model.
- Apply practical workflows through examples and guided tasks.
- Prepare for implementation, certification or team adoption needs.
Pre-requisites
Basic computer literacy and awareness of software, operations, cloud, DevOps or security workflows is helpful. Deep programming experience is not mandatory unless the topic specifically requires it.
Who should attend
Developers, DevOps engineers, administrators, SREs, security engineers, platform teams, release teams, technical leads and corporate teams working with this topic.
Small-batch live training and flexible self-paced access.
Choose live guidance when discussion and lab review matter, or use self-paced access when schedule flexibility matters more.
Live cohort
Instructor-led sessions with demos, guided examples and Q&A for practical adoption.
Ask for next batchSelf-paced route
Use LMS access for flexible learning, revision and continued access to DevOpsSchool course materials.
Review access modelFocused agenda for Azure Databricks Course.
Course-specific agenda topics are preserved and organized for the current program objective while staying in the same page architecture.
Day 1Stage 1
- Getting Started with Azure
- Describe Cloud Concepts for Data
- Identify the benefits and considerations of using cloud services
- identify the benefits of cloud computing, such as High Availability, Scalability, Elasticity,
- Agility, and Disaster Recovery
- identify the differences between Capital Expenditure (CapEx) and Operational
- Expenditure (OpEx)
- describe the consumption-based model
- Describe the differences between categories of cloud services
- describe the shared responsibility model
- describe Infrastructure-as-a-Service (IaaS),
- describe Platform-as-a-Service (PaaS)
- describe serverless computing
- describe Software-as-a-Service (SaaS)
- identify a service type based on a use case
- Describe the differences between types of cloud computing
- define cloud computing
- describe Public cloud
- describe Private cloud
- describe Hybrid cloud
- compare and contrast the three types of cloud computing.
- Describe core solutions and management tools on Azure
- describe the benefits and usage of Internet of Things (IoT) Hub, IoT Central
- describe the benefits and usage of Azure Synapse Analytics, HDInsight, and Azure Databricks
- Describe the benefits and usage of serverless computing solutions that include Azure
- Functions and Logic Apps for data
- describe the benefits and usage of Azure DevOps, GitHub, GitHub Actions, and Azure
- DevTest Labs
- Develop for Azure storage
- Understanding Data Lake, Delta Lake for data processing and storage
- Develop solutions that use storage tables
- design and implement policies for tables
- query table storage by using code
- implement partitioning schemes
Day 2Stage 2
- Azure Data Platform - RDBMS (SQL Server and PostGre), NoSQL - Cosmo DB
- Develop solutions that use Cosmos DB storage
- create, read, update, and delete data by using appropriate APIs
- implement partitioning schemes
- set the appropriate consistency level for operations
- Develop solutions that use a relational database
- provision and configure relational databases
- configure elastic pools for Azure SQL Database
- create, read, update, and delete data tables by using code
- provision and configure Azure SQL Database serverless instances
- provision and configure Azure SQL and Azure PostgreSQL Hyperscale instances
- Develop solutions that use blob storage
- move items in Blob storage between storage accounts or containers
- set and retrieve properties and metadata
- implement blob leasing
- implement data archiving and retention
- implement Geo Zone Redundant Storage
Day 3Stage 3
- Data Lake - Azure Storage Account - Blobs, Containers, File Share etc
- Implement access control for data
- mplement CBAC (Claims-Based Access Control) authorization
- implement RBAC (Role-Based Access Control) authorization
- create shared access signatures
- Implement secure data solutions
- encrypt and decrypt data at rest and in transit
- create, read, update, and delete keys, secrets, and certificates by using the KeyVault API
Day 4Stage 4
- Azure Data Factory (Pipeline, ETL Process)
- Design and Develop Data Processing
- Ingest and transform data
- transform data by using Apache Spark
- transform data by using Transact-SQL
- transform data by using Data Factory
- transform data by using Azure Synapse Pipelines
- transform data by using Stream Analytics
- cleanse data
- split data
- shred JSON
- encode and decode data
- configure error handling for the transformation
- normalize and denormalize values
- transform data by using Scala
- perform data exploratory analysis
Day 5Stage 5
- Azure Databricks (Clusters, PySPark, Jobs) - ETL Process and Analysis
- Design and develop a batch processing solution
- develop batch processing solutions by using Data Factory, Data Lake, Spark, Azure
- Synapse Pipelines, PolyBase, and Azure Databricks
- create data pipelines
- design and implement incremental data loads
- design and develop slowly changing dimensions
- handle security and compliance requirements
- scale resources
- configure the batch size
- design and create tests for data pipelines
- integrate Jupyter/Python notebooks into a data pipeline
- handle duplicate data
- handle missing data
- handle late-arriving data
- upsert data
- regress to a previous state
- design and configure exception handling
- configure batch retention
- design a batch processing solution
- debug Spark jobs by using the Spark UI develop a stream processing solution by using Stream Analytics, Azure Databricks, and
- Azure Event Hubs
- process data by using Spark structured streaming
- monitor for performance and functional regressions
- design and create windowed aggregates
- handle schema drift
- process time series data
- process across partitions
- process within one partition
- configure checkpoints/watermarking during processing
- optimize pipelines for analytical or transactional purposes
- handle interruptions
- replay archived stream data
- design a stream processing solution
Day 6Stage 6
- Azure Data Bricks and ADF Integration, Monitoring, troubleshooting, Maintenance
- Manage batches and pipelines
- trigger batches
- handle failed batch loads
- validate batch loads
- manage data pipelines in Data Factory/Synapse Pipelines
- schedule data pipelines in Data Factory/Synapse Pipelines
- implement version control for pipeline artifacts
- manage Spark jobs in a pipeline
- Monitor and Optimize Data Storage and Data Processing Monitor data storage and data processing
- mplement logging used by Azure Monitor
- configure monitoring services
- measure performance of data movement
- monitor and update statistics about data across a system
- monitor data pipeline performance
- measure query performance
- monitor cluster performance
- understand custom logging options
Day 7Stage 7
- Azure Automation with ARM Templates
- schedule and monitor pipeline tests
- interpret Azure Monitor metrics and logs
- interpret a Spark directed acyclic graph (DAG)
- Optimize and troubleshoot data storage and data processing
- compact small files
- rewrite user-defined functions (UDFs)
- handle skew in data
- handle data spill
- tune shuffle partitions
- find shuffling in a pipeline
- optimize resource management
- tune queries by using indexers
- tune queries by using cache
- optimize pipelines for analytical or transactional purposes
- optimize pipeline for descriptive versus analytical workloads
- troubleshoot a failed spark job
- troubleshoot a failed pipeline run
Choose self-paced library access or live interactive delivery.
This is the second and final pricing block on the page, placed after the agenda so learners can review scope before making a decision.
Self-paced video
Billed yearly at ₹9,996. Includes complete LMS access for one year, access across the DevOpsSchool course library, 20+ additional courses and 50+ tools. Where a course family has four levels, all levels are included by default.
Live & Interactive
Instructor-led live session, max 8 to 10 hours, with demos, labs, Q&A, practical review and certificate support.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The program emphasizes practical demonstration, guided examples and assignment-based validation instead of passive lecture-only learning.
| SL | Method | Weightage |
|---|---|---|
| 1 | Problem-space understanding | 10% |
| 2 | Concept discussion | 15% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 40% |
| 5 | Review and readiness discussion | 10% |
Hands-on learning remains part of the program story.
The exact exercises depend on the topic, but every program should make practical execution visible.
Setup walkthrough
Understand access, environment, navigation and first-use expectations.
Core workflow
Practice the central workflow or certification scenario for this topic.
Troubleshooting
Review common issues, validation signals and safe operating practices.
Assessment prep
Use assignments, review prompts and Q&A to confirm readiness.
Azure Databricks Course is taught in the context of real delivery work.
You learn how the topic connects with engineering, operations, security, cloud, release or platform workflows.
Core foundations
Terminology, concepts, architecture and operating model.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use the topic with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, review and completion evidence.
Assignments
Assignments verify concepts, configuration, workflow quality and operating discipline.
Hands-on validation
Learners complete practical usage, implementation and troubleshooting exercises.
Completion record
Certificate issuance is tied to participation, practical completion and course coverage.
Completion record and certification support.
Learners receive DevOpsSchool completion support, course participation evidence and guidance aligned to the program objective. Certification-oriented pages also support exam readiness discussion.
Certificate verificationCertificate of Completion
Azure Databricks Course
Unique credential ID, verifiable online
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, cloud, security, release and platform engineering experience.
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Why this DevOpsSchool program is different.
The value is not only one course page. The subscription unlocks the wider learning ecosystem for one year.
| Feature | DevOpsSchool | Typical short course |
|---|---|---|
| Access model | LMS access with 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and practical review | Often lecture-heavy |
| Corporate fit | Can align to roles, workflows and rollout goals | Limited customization |
| Certificate support | Completion record and readiness guidance | Varies by provider |
Questions learners usually ask before joining.
Is this course part of a level path?
Not always. Some courses focus on one topic, exam, product, role or service. They follow a focused agenda instead of Foundation to Advanced levels.
What is included in self-paced access?
One year of complete LMS access, 20+ additional courses and 50+ tools. Course families with multiple levels include available levels by default.
Can corporate teams customize this?
Yes. The program can be aligned to team roles, internal tools, delivery workflows and adoption goals.
How long is live training?
The Live & Interactive option is max 8 to 10 hours with demos, labs, Q&A and practical review.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on whether this program fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect this topic to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Focused training
Course visuals reinforce the subject area and learning context.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Request Azure Databricks Course details.
Ask for syllabus, batch schedule, self-paced LMS access, live training options or corporate proposal.