INDIA’S CHEAPEST & BEST ONLINE 1:1  LIVE  CLASSES

Azure Databricks Bootcamp

 KICKSTART YOUR DREAM CAREER  

Unlock your career potential with our Complete Azure Databricks (ADB) Bootcamp. Get the ultimate boost for your career with world-class skills and career-readiness training in one power-packed program.

Program Duration: 1 Month
Language: Hindi
Next Batch Starting on: On-Demand
Batch Slots:  On-Demand

Note: ADB course is available only in one-to-one mode.

₹3,995  ₹ 19975   (80% off)
⏰ 5 hours left at this price.

Email us at info@vidivacademy.com or call 887-377-8121 for timing info!

About your Azure Databricks Certification Training Course

Tools that you'll learn

Azure

Databricks

Azure Blob

ADLS Gen2

Key Vault

Cosmos DB

Snowflake

Azure SQL DB

Course Content

✅ Big Data
✅ Hadoop, Spark and Databricks
✅ Apache Spark Architecture
✅ Spark vs Databricks Comparison
✅ Comparing Apache Spark vs Databricks

✅ Azure Account Set Up
✅ Azure UI Overview
✅ Azure Resources
✅ Creating your Databricks Service
✅ Databricks UI Overview
✅ Clusters
✅ Pricing, Cluster Pools and Runtime Versions
✅ How to use Databricks Notebooks
✅ User Interface Changes
✅ Mix Languages and add Markdown text in your Notebook
✅ Databricks Utilities module and Filestore Utilities
✅ How to use Notebooks
✅ IMPORTANT – Download Course Resource Notebooks
✅ Cost Management and Cancelling your Subscription
✅ Cancelling your Azure Subscription

✅ Dataset Download
✅ Databricks FileStore (DBFS Browser)
✅ Resource: File Types
✅ Reading Data
✅ Writing Data
✅ Parquet Files
✅ Deleting Files and Folders

✅ Selecting and Renaming Columns
✅ Adding new column
✅ Changing Data Types
✅ Math Functions and Simple Arithmetic
✅ Sort Functions
✅ String Functions
✅ Datetime Functions
✅ Filtering DataFrames
✅ Conditional Statements
✅ Using SQL expression withexpr()
✅ Removing Columns
✅ Grouping your DataFrame
✅ Pivot your DataFrame
✅ Joining DataFrames
✅ Union
✅ Unpivot your DataFrame
✅ Pandas
✅ Medallion Architecture
✅ Visualizations and Dashboards
✅ Creating an ADLS Gen2 Account
✅ Storage Explorer
✅ Accessing via Access Keys
✅ Accessing via SAS Token
✅ Mounting ADLS to DBFS Overview
✅ Mounting ADLS to DBFS Demo
✅ Secret Scopes

✅ Running SQL on DataFrames
✅ Hive Metastore and Creating Databases
✅ Managed Tables
✅ Specifying a Location for your Underlying Managed Table Data
✅ Unmanaged (External) Tables
✅ Permanent Views

✅ Delta Lake Overview
✅ Delta Lake Data Files
✅ Deleting and Updating Records
✅ Merge Into
✅ Table Utility Commands

✅ Running a Notebook from another Notebook
✅ Text Widgets
✅ Defining Functions to Store Reusable Logic
✅ Registering Functions for SQL
✅ Python User Defined Functions (UDFs)
✅ Limitations of UDFs

✅ Spark Structured Streaming Overview
✅ ADLS Preparation for this Section
✅ Streaming Dataset “Simulator” Notebook
✅ Reading a Data Stream
✅ Reminder to Manually Cancel your Data Streams
✅ Writing to a Data Stream
✅ Additional Options
✅ Auto Loader

✅ Delta Live Overview
✅ Databricks Premium Resource Creation
✅ ADLS Preparation for this Section
✅ Demo 1: Live Tables
✅ Table Data and Pipeline Metadata
✅ Demo 2: Data Quality Checks
✅ Streaming Dataset “Simulator”
✅ Demo 3: Streaming Live Tables
✅ Demo 4: Additional Properties and Views

✅ Orchestrating Tasks with Databricks Jobs
✅ Task Failures
✅ Parameters and Task Values
✅ Job Scheduling with CRON Syntax

✅ Overview of ACLs
✅ Adding a New User to our Workspace
✅ Workspace Access Control
✅ Cluster Access Control
✅ Groups

✅ Databricks CLI Overview
✅ Command Line Basics (Navigating Directories)
✅ Installing, Setting Up and Authenticating the Databricks CLI
✅ Demo 1 (Cluster CLI Commands)
✅ Demo 2 (Workspace CLI Commands)
✅ Resource: CLI Commands

✅ Source Control on Databricks
✅ Azure DevOps Account Set Up
✅ Parallelism Request
✅ Connecting our Azure DevOps Repo to Databricks
✅ Databricks Repos Demo
✅ Running Jobs on Remote Git Notebooks
✅ Resources: Additional Information

✅ CI/CD and Solution Overview
✅ Reminder: Parallelism Request Form
✅ Build Pipeline (CI)
✅ Deploy to Test (CD)
✅ Deploy to Production (CD)

Requirements:-

– Basic SQL
– Basic Python

Who this course is for:-

– Anyone interested in working with Big Data and Spark
– Anyone interested in working with Databricks
– Anyone interested in working with cloud platforms
– Aspiring Azure Data Engineers.
– Anyone aiming to pass the Databricks Data Engineer Associate certification exam
– University students looking for a career in Data Engineering
– Data Engineers moving from other technologies and aiming to apply their skills to Databricks.
– Data Engineers/ Data Warehouse Developers currently working on on-premises technologies
– Anyone new to Databricks and want to save time by learning Databricks fundamentals

Become a Certified Azure Data Engineer

Yes! This certificate will bring a lot of credibility to your certificate & your resume. 

 

Earn your Azure Data Engineer Certificate

Our Azure Data Engineer course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate Yourself with a Master's Certificate

The knowledge and Azure Data Engineer skills you've gained working on projects and case studies will set you ahead of the competition.

Share Your Achievement

Tell your friends about your Azure Data Engineer certification on LinkedIn, Twitter, Facebook, and boost your resume, or frame it.

What our learners say about the course

This data engineering course was a game-changer for my career. Not only did it equip me with the technical know-how, but the networking opportunities and career support were invaluable. Grateful to be part of this incredible alumni community!
Subhrojeet Chatterjee
Big shoutout to ViDiv Academy for providing me with the tools and knowledge I needed to thrive in the data engineering field. The cutting-edge technologies and exposure to industry best practices set me up for success. Forever grateful for my time as an alum!
Viraj Singhania
Kudos to ViDiv Academy for their exceptional data engineering course. The program's focus on practical skills and the industry-relevant curriculum gave me the confidence to tackle complex data projects. Thrilled to be part of this supportive alumni community!
Samantha Gill

Frequently Asked Questions

Yes, this is a Live class and will be conducted on Google Meet.

This is in Hindi language.
Our courses are also available in English and Odia language. Contact us if you are interested in English or Odia.

Yes, all of our courses will cover concepts from scratch. So, no prior knowledge is needed. Only one thing is needed i.e. your willingness to learn.

No matter you are from which background. The only thing that matter is your willingness and your hunger to learn any new technologies.
Our courses are designed in such a way that anybody from any background can take up our courses. We’ll teach you from basics.

You will be provided with session RECORDINGS, you can access them whenever you want but for limited time only. 

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