What’s Included?
High-Quality Video, E-book & Audiobook
Module Quizzes
AI Mentor
Access for Tablet & Phone
Prerequisites
- No formal prerequisites required
- Basic understanding of data analytics concepts is helpful
- Familiarity with cloud platforms and data processing tools is beneficial
- Willingness to explore Apache Spark and Databricks
Skills You’ll Gain
- Apache Spark Analytics
- Delta Lake Management
- Real-Time Pipelines
- Dataflow Transformation
- Workflow Automation
- Multi-Source Integration
- Lakehouse Architecture
- Scalable Data Processing
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Tools You’ll Master
Azure Portal
Azure Databricks
Delta Lake
Apache Spark
Delta Live Tables
Databricks Workflows
What You’ll Learn
Configure Databricks Environment
Set up scalable workspaces for data analytics.
Analyze with Spark & Delta
Use Apache Spark and Delta Lake for big data.
Build Real-Time Pipelines
Create streaming workflows with Delta Live Tables.
Automate with Workflows
Schedule and manage tasks using Databricks automation tools.
Course Modules
Lesson 1: Implement a data lakehouse analytics solution with Azure Databricks
Module 1: Explore Azure Databricks
Module 2: Perform data analysis with Azure Databricks
Module 3: Use Apache Spark in Azure Databricks
Module 4: Manage data with Delta Lake
Module 5: Build data pipelines with Delta Live Tables
Module 6: Deploy workloads with Azure Databricks Workflows
Frequently Asked Questions
It’s a cloud-based platform for big data analytics and machine learning using Apache Spark.
No, the course introduces Spark concepts and guides you through practical usage.
You can ingest and analyze data from sources like Azure Data Lake and Azure SQL Database.
Yes, it includes exercises, labs, and guided projects for real-world scenarios.
Data analysts and engineers looking to build scalable analytics solutions in the cloud.