Subtitle:
Accelerating Big Data and AI Workloads with
Azure
What is
Azure Databricks
and How is It Used
in Data Engineering?
www.visualpath.in +91-7032290546
Introduction to Azure Databricks
• Unified analytics platform powered by Apache
Spark
• Jointly developed by Microsoft and Databricks
• Designed for big data processing, machine
learning, and analytics
• Seamless integration with Azure services
www.visualpath.in +91-7032290546
Core Features of Azure Databricks
• Apache Spark-based engine for fast,
distributed data processing
• Collaborative workspace for data
engineers, scientists & analysts
• Auto-scaling and optimized clusters
• Supports Python, SQL, Scala, R, and
Java
www.visualpath.in +91-7032290546
Architecture Overview
• Combines Databricks with Azure Data Lake, Blob
Storage, and Azure Synapse
• Uses Azure Active Directory for access control
• Supports both batch and streaming data
pipelines
• Highly scalable for enterprise workloads
www.visualpath.in +91-7032290546
Use Cases in Data Engineering
• Data Ingestion from multiple sources
(SQL, NoSQL, files, APIs)
• ETL/ELT Pipelines using Spark jobs
• Data Cleansing & Transformation
• Data Lake Integration and data
warehouse prep
www.visualpath.in +91-7032290546
ELT with Azure Databricks
• Load raw data into Azure Data Lake
• Transform using Spark notebooks or SQL
• Load transformed data into
Azure Synapse Analytics
• Automates and optimizes workflows
www.visualpath.in +91-7032290546
Integration with Azure Services
• Azure Data Factory for orchestration
• Azure Synapse for analytics
• Azure Machine Learning for model
training
• Power BI for visualization and
dashboards
www.visualpath.in +91-7032290546
Benefits for Data Engineers
• High-speed parallel processing
• Scalable & secure architecture
• Supports CI/CD and DevOps pipelines
• Reduces data pipeline development time
www.visualpath.in +91-7032290546
Conclusion
• Azure Databricks streamlines modern data
engineering
• Ideal for big data, machine learning, and
real-time analytics
• A key component of the Azure data
ecosystem
• Empowers engineers to build efficient,
scalable data pipelines
www.visualpath.in +91-7032290546
www.visualpath.in +91-7032290546
For More Information About
Azure Data Engineering
Address:- Flat no: 205, 2nd Floor,
Nilagiri Block, Aditya Enclave, Ameerpet,
Hyderabad-16
Ph. No: +91-998997107
www.visualpath.in
online@visualpath.in
www.visualpath.in +91-7032290546
Thank You
www.visualpath.in

Azure Data Engineer Course | Microsoft Azure Data Engineer.pptx

  • 1.
    Subtitle: Accelerating Big Dataand AI Workloads with Azure What is Azure Databricks and How is It Used in Data Engineering? www.visualpath.in +91-7032290546
  • 2.
    Introduction to AzureDatabricks • Unified analytics platform powered by Apache Spark • Jointly developed by Microsoft and Databricks • Designed for big data processing, machine learning, and analytics • Seamless integration with Azure services www.visualpath.in +91-7032290546
  • 3.
    Core Features ofAzure Databricks • Apache Spark-based engine for fast, distributed data processing • Collaborative workspace for data engineers, scientists & analysts • Auto-scaling and optimized clusters • Supports Python, SQL, Scala, R, and Java www.visualpath.in +91-7032290546
  • 4.
    Architecture Overview • CombinesDatabricks with Azure Data Lake, Blob Storage, and Azure Synapse • Uses Azure Active Directory for access control • Supports both batch and streaming data pipelines • Highly scalable for enterprise workloads www.visualpath.in +91-7032290546
  • 5.
    Use Cases inData Engineering • Data Ingestion from multiple sources (SQL, NoSQL, files, APIs) • ETL/ELT Pipelines using Spark jobs • Data Cleansing & Transformation • Data Lake Integration and data warehouse prep www.visualpath.in +91-7032290546
  • 6.
    ELT with AzureDatabricks • Load raw data into Azure Data Lake • Transform using Spark notebooks or SQL • Load transformed data into Azure Synapse Analytics • Automates and optimizes workflows www.visualpath.in +91-7032290546
  • 7.
    Integration with AzureServices • Azure Data Factory for orchestration • Azure Synapse for analytics • Azure Machine Learning for model training • Power BI for visualization and dashboards www.visualpath.in +91-7032290546
  • 8.
    Benefits for DataEngineers • High-speed parallel processing • Scalable & secure architecture • Supports CI/CD and DevOps pipelines • Reduces data pipeline development time www.visualpath.in +91-7032290546
  • 9.
    Conclusion • Azure Databricksstreamlines modern data engineering • Ideal for big data, machine learning, and real-time analytics • A key component of the Azure data ecosystem • Empowers engineers to build efficient, scalable data pipelines www.visualpath.in +91-7032290546
  • 10.
    www.visualpath.in +91-7032290546 For MoreInformation About Azure Data Engineering Address:- Flat no: 205, 2nd Floor, Nilagiri Block, Aditya Enclave, Ameerpet, Hyderabad-16 Ph. No: +91-998997107 www.visualpath.in online@visualpath.in
  • 11.