Azure Data Engineer Course | Azure Data Engineer Trainin

Azure Data Engineer Course | Azure Data Engineer Trainin

• 1.
  Overview of AzureData Services Simplifying Data Management in the Cloud
• 2.
  Agenda What is MicrosoftAzure? Why Data Services Matter Key Azure Data Services - Azure SQL Database - Azure Cosmos DB Azure Synapse Analytics Azure Data Lake Storage Azure Data Factory Real-World Use Cases Benefits of Azure Data Services Common Architectures Summary
• 3.
  What is MicrosoftAzure? A cloud computing platform by Microsoft. Offers over 200 services including computing, storage, databases, AI, and networking. Azure provides: IaaS (Infrastructure-as-a-Service) PaaS (Platform-as-a-Service) SaaS (Software-as-a-Service) Azure is used by businesses for building and managing apps and services.
• 4.
  Why Use Azurefor Data Services? Traditional systems are costly and hard to scale. Azure helps manage big data, real-time processing, and analytics with ease. Focuses on: Data security Scalability Integration with tools like Power BI, Excel Global availability
• 5.
  Azure SQL Database Afully managed relational database in the cloud. Based on SQL Server, but without the need to manage hardware or updates. Key Features: - Automatic patching, backups - High availability - Dynamic scalability - Use Case: Web apps that need secure, scalable databases
• 6.
  Azure Cosmos DB ANoSQL database designed for fast and global applications. Supports multiple data models: document, key-value, column-family, and graph. Benefits: Low latency Global replication Multiple API support (MongoDB, Cassandra, etc.) Use Case: Real-time personalization, IoT apps
• 7.
  Azure Synapse Analytics Combinesdata warehousing and big data analytics. Allows querying using SQL or Apache Spark. Easily integrates with Power BI for visual reports. Use Case: Analyzing large-scale business data for insights
• 8.
  Azure Data LakeStorage Built for storing large amounts of data of any type. Optimized for big data tools like Hadoop, Spark, etc. Features: Cost-effective Secure Scalable to petabytes Use Case: Data lakes for storing logs, videos, sensor data
• 9.
  Azure Data Factory Adata integration service (ETL tool) in the cloud. Moves and transforms data from various sources (SQL, cloud, API, etc.). Build data pipelines without writing much code. Use Case: Automating data workflows between systems
• 10.
  Real-World Use Cases IndustryUse Case Retail Product recommendations using customer data Healthcare Predictive analytics on patient records Banking Fraud detection using transaction data Logistics Route optimization using historical data
• 11.
  Benefits of AzureData Services 🔐Security: Encryption, compliance, access control 📈Scalability: Handle any data volume with ease 💡Integration: Works with Power BI, Excel, ML tools 💰Cost-effective: Pay-as-you-go pricing ⏱Speed: Real-time analytics and low latency
• 12.
  Common Architecture Example ModernData Pipeline on Azure Data Factory pulls data Data Lake stores raw data Synapse processes and transforms Power BI visualizes the results
• 13.
  Summary Azure offers acomprehensive suite of cloud-based data tools. You can store, process, and analyze data without managing infrastructure. Whether your data is structured, semi-structured, or unstructured, Azure has a solution. These services are essential for building data-driven applications.
• 14.
  Want to LearnMore? Visit: https://learn.microsoft.com/en-us/azure/ Try: https://portal.azure.com/ Tutorials: Microsoft Learn - Azure Data Services
• 15.
  Contact & OnlineTraining 📢We Provide Online Training on Databricks and Big Data Technologies! ✅Hands-on Training with Real-World Use Cases ✅Live Sessions with Industry Experts ✅Certification Guidance 🌐Visit our website: https://www.accentfuture.com/ 📩For inquiries, contact us at: [email protected]