Azure Data Engineer Training Hyderabad - Azure Data Engineer Online Training.pptx

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1. www.visualpath.in  [phone] Azure Data Factory: Empowering Relational Data Services in the Cloud

2. www.visualpath.in Introduction In the rapidly evolving landscape of data management, enterprises are increasingly leveraging cloud-based solutions to harness the power of data effectively. Azure Data Factory (ADF), a robust cloud-based data integration service from Microsoft Azure, stands as a cornerstone in this paradigm shift. Designed to orchestrate and automate data movement and transformation, Azure Data Factory offers a plethora of features and functionalities, making it a preferred choice for businesses across various industries.

3. www.visualpath.in Understanding Azure Data Factory Overview: It enables seamless orchestration and automation of data movement and transformation tasks. ADF facilitates building, scheduling, and monitoring data pipelines for both batch and real-time data integration scenarios.

4. www.visualpath.in Key Components: Data Pipelines: ADF allows users to create data pipelines, which are workflows that orchestrate the movement and transformation of data. Data Flows: Within pipelines, data flows define the data transformation activities, such as mapping, filtering, and aggregating data. Linked Services: These are connections to external data sources and destinations, including Azure services, on-premises systems, and other cloud platforms.

5. www.visualpath.in Integration Runtimes : ADF supports different integration runtimes for executing data integration activities, including Azure, self-hosted, and Azure-SSIS (SQL Server Integration Services) runtimes. Triggers and Monitoring : ADF offers trigger mechanisms for scheduling pipeline executions and comprehensive monitoring capabilities to track pipeline performance and data lineage. Benefits of Azure Data Factory:

6. www.visualpath.in Scalability : ADF scales dynamically to accommodate varying workloads and data volumes, ensuring optimal performance. Cost-Effectiveness : With pay-as-you-go pricing model, users pay only for the resources consumed, making it cost-effective for businesses of all sizes. Integration Capabilities : ADF seamlessly integrates with a wide range of Azure services, third-party applications, and on-premises systems, facilitating interoperability.

7. www.visualpath.in Ease of Use : Its intuitive visual interface and drag-and-drop functionality simplify the creation and management of data pipelines, reducing development time and effort. Reliability and Resilience : Built-in fault tolerance mechanisms and disaster recovery features ensure high availability and data integrity. Relational Data Services in the Cloud

8. www.visualpath.in www.visualpath.in Azure SQL Database Service Tiers: Basic Tier : Ideal for small databases with light transactional workloads, offering basic performance and limited feature set. Standard Tier : Suitable for most business applications, providing higher performance, scalability, and advanced features like point-in-time restore and active geo-replication. Premium Tier : Designed for mission-critical workloads demanding high performance, availability, and advanced security features such as transparent data encryption and dynamic data masking.

9. www.visualpath.in Advantages of Azure SQL Database Service Tiers: Performance : Each tier offers varying levels of performance to meet specific workload requirements, ensuring optimal database performance . Scalability : With options for horizontal and vertical scaling, Azure SQL Database allows businesses to scale resources up or down based on demand, eliminating the need for upfront hardware investments.

10. www.visualpath.in High Availability : All service tiers come with built-in high availability features, such as automatic backups, geo-replication, and automatic failover, ensuring business continuity. Security : Azure SQL Database offers robust security features, including encryption at rest and in transit, threat detection, and role-based access control, to safeguard sensitive data.

11. www.visualpath.in Conclusion Azure Data Factory, coupled with Azure SQL Database Service Tiers and Database Throughput Units, forms a robust ecosystem for enabling relational data services in the cloud. As organizations continue to embrace cloud-based solutions for their data integration and management needs, understanding these components becomes imperative for harnessing the full potential of Azure's data services. By leveraging Azure Data Factory's capabilities, businesses can streamline their data integration processes, enhance operational efficiency, and derive actionable insights from their data assets, thereby gaining a competitive edge in today's data-driven world .

12. www.visualpath.in CONTACT Azure Data Engineer Training Hyderabad Flat no: 205, 2nd Floor, NILGIRI Block, Aditya Enclave, Ameerpet, Hyderabad-16 Visit: www.visualpath.in Mobile No: [phone] E-Mail Id :  [email protected]

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