Azure Data Engineer Training | Best Online Course Hyderabad
Kickstart your cloud career with VisualPathu2019s Azure Data Engineer Training in Hyderabad. Gain hands-on experience through live projects, expert-led sessions, and flexible weekend batches. Our in-depth course also includes lifetime access to reco
Download Presentation

Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Integration of Azure Data Lake with Azure Services Subtitle: Focus on Azure Data Factory and Beyond www.visualpath.in +91-7032290546
Introduction to Azure Data Lake Azure Data Lake is a scalable, secure data lake solution for big data analytics. Built on Azure Blob Storage, it supports structured, semi- structured, and unstructured data. Commonly used as a central repository for data processing and analysis. www.visualpath.in +91-7032290546
Role of Azure Data Factory (ADF) Azure Data Factory is a cloud-based data integration service. It enables orchestration and automation of data workflows. ADF is key in moving data into and out of Azure Data Lake. www.visualpath.in +91-7032290546
Ingesting Data with ADF into Data Lake ADF connects to diverse sources like SQL, SAP, APIs, and flat files. Data is ingested through pipelines and stored in Azure Data Lake for transformation. ADF supports batch and real-time ingestion using triggers and integration runtimes. www.visualpath.in +91-7032290546
Data Transformation in Azure After ingestion, data is transformed using ADF s Mapping Data Flows or custom compute (Azure Databricks, HDInsight). Data stored in Azure Data Lake can be cleaned, enriched, and joined with other datasets. Transformations can be scheduled or triggered on- demand. www.visualpath.in +91-7032290546
Integration with Azure Synapse Analytics Azure Synapse reads directly from Azure Data Lake for analytics and reporting. ADF moves processed data to Synapse for advanced querying via T- SQL or Spark. Ideal for creating dashboards and business insights. www.visualpath.in +91-7032290546
Security and Monitoring Azure Machine Learning: Consumes data from the lake for model training. Power BI: Connects directly to curated data in Data Lake for visualization. Azure Purview: Helps with data governance and cataloging. www.visualpath.in +91-7032290546
Conclusion Azure Data Lake and Data Factory form a powerful combo for cloud-based data engineering. Seamless integration supports end-to-end data workflows. Enables scalable, secure, and cost-effective data analytics in the Azure ecosystem. www.visualpath.in +91-7032290546
For More Information About azure data engineering 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 www.visualpath.in +91-7032290546