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Azure Databricks Training
Level up your analytics capabilities with our complete Azure Databricks Training. Our trainers will help you through practical assignments and case studies.
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Azure Databricks Training Course Overview
There is a growing demand for businesses to have advanced analytical solutions that leverage Big Data and AI. Today, Databricks is synonymous with scalable engineering, machine learning, and real-time data analytics. Connect with us at Learnsoft.Org Azure Databricks Training , where we teach the fundamentals of working with the platform, data, and enterprise-level system implementation.
We have expert trainers from the industry who integrate theory and practice to impart practical-oriented training. Get your first step toward becoming a Data Engineer, Data Scientist, or AI Developer with our Azure Databricks Training in Kochi.
Best Azure Databricks Training
The mission of Learnsoft.Org is to provide value-based training that empowers learners to process and analyze big data and create AI-driven solutions. We cater to beginners and experienced professionals who wish to step into the world of cloud data engineering and Azure certification on Databricks. The training is designed for learners of all levels and equips them with skills to create, execute, and manage big data projects easily.
Our Azure Databricks Course Training
Instructors from various industries take care of practical and theoretical aspects of our Azure Databricks Course Training. During classes, you will learn to work with real Azure Databases and complete Apache Spark, Delta Lake, and MLflow projects so that you can relate the skills you learn to real-world enterprise data solutions.
Why Choose Us for Azure Data Factory Certification Training
Working Professional:
All our tutors possess much industry experience in big data, cloud technologies, and AI-powered analytics. You will receive instructions from a real enterprise-scale user on Azure Databricks implementation.
Flexible Learning Approach:
We provide a professional, hands-on approach to teaching and working with Databricks, encompassing the entire data lifecycle from inputting data to deriving AI-powered insights.
Hands-On Training:
These incorporate case studies and projects that enable learners to experience Data ingestion practically, ETL, AI/ML model deployment, and performance tuning.
Practical Sessions for Learning:
Besides the standard classroom activities, learners can study remotely or through a blended method, combining both approaches for enhanced comfort and effectiveness.
Get Started with Azure Databricks Classes Training
Are you looking to build a career in cloud analytics and big data? If so, our Azure Databricks Training was designed with you in mind. You will learn the fundamentals and advanced topics with our seasoned instructors so you can build scalable data pipelines and AI solutions.
Achieve our Azure Databricks Goals
At Learnsoft.Org our focus is to help students wishing to get certified on Azure Databricks to improve professionally. Whether mastering fundamental ideas of data engineering, getting a certification, enhancing analytical skills, or everything in between, our Azure Databricks Training in Kochi will meet your needs.
An Azure Databricks certification validates your skills and gives you access to well-paying entry-level positions in data engineering, cloud computing, and AI as a new graduate.
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Full Azure Databricks
Syllabus
Module 1: Python for Data Engineering
- 𝗣𝘆𝘁𝗵𝗼𝗻 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 📌
- Introduction to Python
- Importance of Python in Data Engineering
- Installing Python development tools
- VS Code
- Jupyter Notebook
- 𝗖𝗼𝗿𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 📌
- Variables and Data Types
- Operators
- Conditional Statements
- Loops
- Functions and Modules
- 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 📌
- Lists
- Tuples
- Sets
- Dictionaries
- 𝗙𝗶𝗹𝗲 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 📌
- Reading Text Files
- Writing Files
- Working with CSV Files
- Working with JSON Files
- 𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 📌
- Runtime Errors
- Try–Except Blocks
- Debugging Techniques
- 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 📌
- Pandas
- DataFrames
- Data Filtering
- Data Transformations
- Aggregations
- 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗧𝗮𝘀𝗸𝘀 📌
- Data Cleaning
- Handling Missing Values
- Data Transformations
- Large Dataset Processing
Module 2: SQL for Data Engineering
- 𝗦𝗤𝗟 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 📌
- Relational Database Concepts
- SQL Architecture
- Database Objects
- 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 📌
- Tables
- Views
- Indexes
- 𝗦𝗤𝗟 𝗤𝘂𝗲𝗿𝗶𝗲𝘀 📌
- SELECT
- WHERE
- ORDER BY
- GROUP BY
- HAVING
- 𝗦𝗤𝗟 𝗝𝗼𝗶𝗻𝘀 📌
- Inner Join
- Left Join
- Right Join
- Full Join
- 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗤𝗟 📌
- Subqueries
- CTE (Common Table Expressions)
- Window Functions
- Analytical Functions
- 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 𝗦𝗤𝗟 📌
- Star Schema Queries
- Aggregation Queries
- Query Optimization
Module 3: Cloud & Azure Fundamentals
- 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 📌
- Cloud Architecture
- Public vs Private vs Hybrid Cloud
- 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 📌
- IaaS
- PaaS
- SaaS
- 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 📌
- Azure Portal
- Resource Groups
- Azure Idevntity Management
- 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 📌
- Azure Storage
- Azure Data Lake
- Azure Databricks
- Azure Synapse Analytics
- Azure Event Hub
Module 4: Big Data Fundamentals
- 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 📌
- 5Vs of Big Data
- Traditional vs Distributed Processing
- 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 📌
- Cluster Computing
- Parallel Processing
- 𝗛𝗮𝗱𝗼𝗼𝗽 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 📌
- HDFS
- Hive
- MapReduce
- 𝗔𝗽𝗮𝗰𝗵𝗲 𝗦𝗽𝗮𝗿𝗸 📌
- Spark Architecture
- Driver and Executors
- Spark Components
- 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀 📌
- Batch Processing
- Streaming Processing
Module 5: Azure Storage & Data Lake
- 𝗔𝘇𝘂𝗿𝗲 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗔𝗰𝗰𝗼𝘂𝗻𝘁 📌
- Storage Architecture
- Blob Storage
- Storage Tiers
- Access Control
- 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗚𝗲𝗻𝟮 📌
- Data Lake Architecture
- Data Lake vs Data Warehouse
- Hierarchical Namespace
- 𝗗𝗮𝘁𝗮 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 📌
- Folder Structure
- Partitioning
- 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 📌
- RBAC
- ACL
Module 6: Apache Spark Fundamentals
- 𝗦𝗽𝗮𝗿𝗸 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 📌
- Distributed Computing
- Driver and Executor
- Driver and Executor
- 𝗦𝗽𝗮𝗿𝗸 𝗖𝗼𝗿𝗲 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 📌
- RDD
- DataFrames
- Spark SQL
- 𝗦𝗽𝗮𝗿𝗸 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 📌
- Transformations
- Actions
- Lazy Evaluation
- 𝗦𝗽𝗮𝗿𝗸 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 📌
- Partitioning
- Caching
- Broadcast Joins
Module 7: PySpark Programming
- 𝗗𝗮𝘁𝗮𝗙𝗿𝗮𝗺𝗲𝘀 📌
- Creating DataFrames
- Reading Data
- Writing Data
- 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻𝘀 📌
- select
- filter
- withColumn
- drop
- distinct
- 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 📌
- joins
- groupBy
- aggregations
- sorting
- 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 📌
- Window Functions
- explode
- pivot
- 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 📌
- partitioning
- caching
- broadcast joins
- 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 📌
- Large Dataset Processing
Module 8: Azure Databricks
- 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 📌
- Workspace
- Clusters
- Notebooks
- DBFS
- 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗪𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 📌
- Notebooks
- Repos
- Workspace Management
- 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗨𝘁𝗶𝗹𝗶𝘁𝗶𝗲𝘀 📌
- DBFS
- dbutils Commands
- 𝗝𝗼𝗯𝘀 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 📌
- Job Creation
- Scheduling Jobs
- Workflow Orchestration
- 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 📌
- Cluster Monitoring
- Job Monitoring
- Performance Tuning
Module 9: Delta Lake
- 𝗗𝗲𝗹𝘁𝗮 𝗟𝗮𝗸𝗲 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 📌
- What is Delta Lake
- Lakehouse Architecture
- ACID Transactions
- 𝗗𝗲𝗹𝘁𝗮 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 📌
- Time Travel
- Schema Enforcement
- Schema Evolution
- Data Versioning
- 𝗗𝗲𝗹𝘁𝗮 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 📌
- Optimize
- Vacuum
- Z-Order Indexing
- 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 📌
- Create Delta Tables
- Update and Merge Operations
Module 10: Databricks Auto Loader
- 𝗔𝘂𝘁𝗼 𝗟𝗼𝗮𝗱𝗲𝗿 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 📌
- Incremental Data Ingestion
- File Discovery Modes
- 𝗔𝘂𝘁𝗼 𝗟𝗼𝗮𝗱𝗲𝗿 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 📌
- Directory Listing
- File Notification
- 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 📌
- Continuous Data Ingestion Pipeline
Module 11: Structured Streaming
- 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 📌
- Batch vs Streaming
- Streaming Architecture
- 𝗦𝗽𝗮𝗿𝗸 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 📌
- Streaming DataFrames
- Streaming Queries
- 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 📌
- Real-time Data Pipeline
- Streaming Ingestion into Delta Lake
Module 12: Medallion Architecture
- 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 📌
- Data Lake vs Data Warehouse
- Modern Data Architecture
- 𝗠𝗲𝗱𝗮𝗹𝗹𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿𝘀 📌
- Bronze Layer (Raw Data)
- Silver Layer (Cleaned Data)
- Gold Layer (Aggregated Data)
- 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 📌
- Ingest Raw Data
- Transform Data
- Create Business-Level Tables
- 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 📌
- Implement Bronze, Silver, Gold Layers
Module 13: CI/CD Automation for Databricks
- 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 📌
- Git Fundamentals
- GitHub Repositories
- Git Workflows
- 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗚𝗶𝘁 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 📌
- Databricks Repos
- Notebook Version Control
- 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 📌
- GitHub Actions
- Pipeline Automation
- 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 📌
- Terraform Basics
- Deploy Azure Databricks Resources using Terraform
- 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 📌
- Automated Deployment Pipeline
Certification Path For Azure Databricks
Our training is associated with the certification programs, and upon completion of all necessary projects, you will receive a course completion certificate from learnsoft.org along with other relevant certifications.
This skill credential verifies that you have successfully completed all assignments, exercises, projects, and case studies.
This certificate can be shared on LinkedIn, Facebook, Twitter and more to help you enhance your professional image.
Key Highlights
- Azure Databricks Certification: Demonstrate your skills in big data analytics and machine learning with Azure Databricks.
- Unified Data Analytics: Master the art of combining data engineering, data science, and machine learning on a single platform.
- Scalability & Performance Optimization: Learn how to fine-tune clusters, workload management, and performance improvement in real-world scenarios.
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Reviews from Our Azure Databricks Learners
“This AWS course exceeded all my expectations! The trainers are incredibly knowledgeable, and the live projects helped me gain real-world experience. I'm confident about my skills now, thanks to Learnsoft ”
“Hi...I've completed DevOps and AWS training in learnsoft. They are perfect in the industry. After completing the course, within 2 weeks they've arranged me a suitable job for me.”
“I am from pune. On first I was afraid to learn the course in online. later I had a demo session on Azure. From the demo to till my whole course completion I had an amazing experience thanks to ghani”
“I've completed Dynamic 365 training here and placed in a MNC. I can't mention the company name here. Thank you Syed Anwar for guidance.”
“Overall PP training was good.Trainer is knowledgeable and we now have recorded sessions available too.Trainer has provided some good real time examples related to IT environment which helped me too.”
“I enquired course of Azure for my daughter they are so nice of me to explain about azure so we’ll good communication with people and be patient to help with people who need more career guidance I am happy to enquiry here”
“This AWS course exceeded all my expectations! The trainers are incredibly knowledgeable, and the live projects helped me gain real-world experience. I'm confident about my skills now, thanks to Learnsoft ”
“Hi...I've completed DevOps and AWS training in learnsoft. They are perfect in the industry. After completing the course, within 2 weeks they've arranged me a suitable job for me.”
“I am from pune. On first I was afraid to learn the course in online. later I had a demo session on Azure. From the demo to till my whole course completion I had an amazing experience thanks to ghani”
“I've completed Dynamic 365 training here and placed in a MNC. I can't mention the company name here. Thank you Syed Anwar for guidance.”
“Overall PP training was good.Trainer is knowledgeable and we now have recorded sessions available too.Trainer has provided some good real time examples related to IT environment which helped me too.”
“I enquired course of Azure for my daughter they are so nice of me to explain about azure so we’ll good communication with people and be patient to help with people who need more career guidance I am happy to enquiry here”
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“This AWS course exceeded all my expectations! The trainers are incredibly knowledgeable, and the live projects helped me gain real-world experience. I'm confident about my skills now, thanks to Learnsoft ”
“Hi...I've completed DevOps and AWS training in learnsoft. They are perfect in the industry. After completing the course, within 2 weeks they've arranged me a suitable job for me.”
“I am from pune. On first I was afraid to learn the course in online. later I had a demo session on Azure. From the demo to till my whole course completion I had an amazing experience thanks to ghani”
“I've completed Dynamic 365 training here and placed in a MNC. I can't mention the company name here. Thank you Syed Anwar for guidance.”
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FAQ's about Azure Databricks Training
In this training, you will cover data engineering, machine learning, and real-time data processing with Azure Databricks. You will also learn how to build and manage clusters, develop notebooks, perform integrations with other Azure services, work with Databricks SQL and Delta Lake, stream data, and optimize the system's performance.
The course duration is between 30 and 50 hours and includes video lectures, instructor-led real-time sessions, and lab-based training. This course is aimed at novices and seasoned data experts who wish to learn more about big data analytics.
Azure Databricks is known to provide an optimized Apache Spark integrated environment within Azure services that include auto-scaling clusters and collaborative notebooks. It is exceptionally popular for large-scale data processing, machine learning, and AI-driven analytics.
Typical ranges for training costs should be between 20,000 to 40,000 rupees. Prices may change depending on the structure of the course, instructor-led sessions, additional learning materials, and others. Contact us for specific pricing details, discounts, or bespoke training adjustment plans.
After completing the course, you will be prepared to take up positions like Data Engineer, Big Data Analyst, Machine Learning Engineer, Cloud Data Architect, and Business Intelligence Developer. Experts in Azure Databricks are highly sought after for the processing and analytics of extensive data in cloud settings.