Luciano Moreira_Jacob Bogie-BRSP005-10.3_22_FINAL.pdf
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Should you be getting more from your data? If you’ve answered yes, perhaps you’re exploring how you can power new analytics and apps by streaming data from on-premises, open source, and hybrid cloud environments to your desired cloud endpoints (i.e.: Cosmos DB and/or Synapse) in real time. Getting your data from point A to point B can be expensive, time-consuming and complex. Fortunately, there’s a much easier way. Join Microsoft’s Kal Yella, Luciano Moreira, and Confluent’s Jacob Bogie to learn how you can connect multi-cloud and hybrid data to Azure cloud, reducing the complexity and cost associated with building real-time applications and analytics in the cloud.
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Luciano Moreira_Jacob Bogie-BRSP005-10.3_22_FINAL.pdf
- 1. Getting More From Your Data with Azure Cosmos DB, Synapse, and Confluent Cloud
- 2. Session Speakers Sr. Product Marketing Manager – Partnerships Peter Kennedy is a product marketer at Confluent focused on accelerating partnerships and joint go-to- market activities surrounding Confluent Cloud. Prior to Confluent, he worked for Microsoft as a product and partner marketer in the IoT portfolio. Peter Kennedy, Confluent Sr. Specialist, Azure Cosmos DB/NoSQL Global Black Belt Luciano Moreira is an Azure Cosmos DB specialist at Microsoft who helps companies tackle challenging data scenarios, successfully building performance and resilient solutions with Azure. Luciano Moreira, Microsoft
- 3. Real-time Data A Sale A shipment A Trade A Customer Experience Data streaming fuels modern data platforms “We need to shift our thinking from everything at rest, to everything in motion.” — Real-Time Data Streaming Rich Front-End Customer Experiences Real-Time Backend Operations
- 4. Companies move to the cloud to build modern data platforms Agile Elastic Cost-saving Fast deployment “More than 45% of IT spending on infrastructure and application software will shift from on-prem to cloud by 2024.” – Gartner
- 5. These cloud-native data platforms power business critical applications and analytics 5 Self-Managed Data Platforms ● Inflexible architecture makes it hard to integrate with other systems ● Expensive in both upfront and ongoing maintenance costs ● Slow to scale to meet evolving demands Cloud Data Platforms ● Lowers TCO by decoupling storage from compute and leveraging consumption- based pricing ● Increases flexibility and agility ● Simplifies operations with built into auto-scaling and maintenance cycles
- 6. Integrating multiple systems to the cloud is challenging 1. Wastes time and resources Replacing or refactoring legacy data systems across environments is not easy. During which, data visibility can be limited. 1. Conceals blind spots Getting actionable data from disparate data sources is cumbersome. Most data insight comes from nightly loads, merges, and batch updates to create a complete view. 1. Creates data silos Difficulties with integrating multiple data silos and data formats. On-Prem Legacy Data Store Cloud Cloud Data Store CRM SaaS App Nightly Reporting Applications ETL App Batch Jobs
- 7. Confluent helps you modernize and integrate legacy with the cloud 1. Accelerate and simplify migration Link on-prem and cloud for easier data movement across environments with real- time event streaming to start migrating immediately 1. Enhance data in real-time Process data in flight with ksqlDB and use our fully managed service to enrich or transform your data before inserting into the cloud database 1. Reduces TCO Leverage fully managed services and avoid prohibitive licensing costs from existing solutions offered by legacy vendors On-Prem Cloud Legacy Data Store Cloud Data Store Apache Kafka 120+ Pre-built Connectors Stream Processing with ksqlDB CRM SaaS App
- 8. The Confluent Advantage Everywhere Maintain flexibility with deployments on Azure and connect across clouds and on-premises that sync in real-time Complete Go beyond Kafka to build real-time apps on Azure quickly, reliably, and securely Cloud-Native Apache Kafka re- architected to harness the power of the cloud on Azure Stream confidently on a highly available platform built by the world's utmost Apache Kafka experts with built-in enterprise-ready security, compliance, and privacy controls
- 9. Confluent and Microsoft Trusted by Azure, Partners, and Customers Direct integration with popular services Unified operations and billing experience Deep relationship and solution preference Azure Native Services 3rd-Party ISV Services Unified Billing Experience Transact directly through Azure Marketplace to remove friction and burn down existing Azure commits on your M.A.C.C. agreement. Unified security & management Trusted enterprise-grade security with default encryption, private networking, and single sign-on. Process cybersecurity data from 120+ sources to increase enterprise visibility. Microsoft Strategic Alliance Confluent & MSFT announced our strategic partnership in January of 2021, and due to unprecedented customer demand we announced the expansion and extension of our partnership in April of 2022 Microsoft Preferred Solution Confluent Cloud has been validated by a team of Microsoft experts and has proven to generate business impact, technology transformation, and cross- organizational improvements for its customers. Azure Synapse Azure Event Hub Azure Cosmos DB Azure Data Lake Storage Azure Blob Storage Azure Functions
- 10. Understanding the architecture Azure On-Prem Oracle HDFS Teradata, Netezza Mainframe KSQL Confluent Platform Confluent Cluster Linking App OSS Kafka Confluent Cluster Linking Oracle HDFS Teradata, Netezza Mainframe App Cloud Apps 3rd party data Additional Regions or Clouds Confluent Cluster Linking Cosmos DB Azure Functions
- 11. Azure Cosmos DB Azure Cosmos DB is a fully managed NoSQL database service for modern app development. Get guaranteed single-digit millisecond response times and 99.999-percent availability, backed by SLAs, automatic and instant scalability, and open-source APIs for MongoDB and Cassandra.
- 12. Azure Cosmos DB ● Unlimited scalability ● Global distribution ● Multi-master ● Low latency (< 10ms) ● Flexible schema ● Multiple SDKs ● Autoscale ● Serverless ● Consistency models
- 13. Azure Cosmos DB Reference (2021) Azure Cosmos DB Conf
- 14. Azure Cosmos DB use cases
- 15. Azure Understanding the architecture: Azure Cosmos DB On-Prem Oracle HDFS Teradata, Netezza Mainframe KSQL Confluent Platform Confluent Cluster Linking App OSS Kafka Confluent Cluster Linking Oracle HDFS Teradata, Netezza Mainframe App Cloud Apps 3rd party data Additional Regions or Clouds Confluent Cluster Linking Cosmos DB Azure Functions Synapse Cosmos DB Cosmos DB Global replication Azure Functions + Change Feed Global distribution SDKs Azure ML Power BI
- 16. Data Science and Business Analytics view data in very different ways DATA SCI ENCE BUSI NESS ANALY TI CS Big data Experimentation Fast exploration Semi-structured OR Relational data Proven security & privacy Dependable performance Structured DATA WAREHOUSE DATA L AKE
- 17. Ease of use Fast expl or at i on Qui ck to st ar t Proven secur i t y Ai r t i ght pr i vacy Dependabl e per f or mance Azure meets these challenges with a single service to provide limitless analytics
- 18. The first unified, cloud native platform for converged analytics Data Warehouse Data Lake Event Brokers Azure Synapse Link Cosmos DB Dataverse
- 19. Near real-time analytics No managed ETL Built for convergence Azure Synapse Link
- 20. Azure Cosmos DB Auto-Sync Transactional Store Row store optimized for transactional reads and writes Analytical Store Column store optimized for analytical queries Operational Data Container Synapse Link Cloud-Native HTAP SQL Azure Synapse Analytics Reduce architectural complexity with cloud-native HTAP
- 21. Azure Understanding the architecture: Azure Cosmos DB & Synapse On-Prem Oracle HDFS Teradata, Netezza Mainframe KSQL Confluent Platform Confluent Cluster Linking App OSS Kafka Confluent Cluster Linking Oracle HDFS Teradata, Netezza Mainframe App Cloud Apps 3rd party data Additional Regions or Clouds Confluent Cluster Linking Cosmos DB Azure Functions Synapse Cosmos DB Cosmos DB Global replication Azure Functions + Change Feed Global distribution SDKs Power BI Azure ML
- 22. Next steps Get started Try Azure for free azure.microsoft.com/en-us/free/ Visit the Microsoft booth Microsoft Get started Try Confluent for free with $400 in free credits confluent.io/confluent-cloud Visit the Confluent booth Confluent