Azure synapse analytics overview elasta cloud3
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This document provides an overview of Azure Synapse Analytics, a limitless analytics service that brings together data warehousing and big data analytics capabilities. It discusses how businesses currently have to maintain separate systems for operational data/relational data and big data/semi-structured data, which Azure Synapse addresses by providing a single service for end-to-end analytics using technologies like SQL and Spark across data warehouses and data lakes at cloud scale with unmatched speed.
Azure synapse analytics overview elasta cloud3
- 2. © Microsoft Corporation Agenda Azure Synapse Analytics Overview Demos
- 3. 80% 55% Analytics & AI is the #1 investment for business leaders, however they struggle to maximize ROI * Harvard Business Review (2019), Understanding why analytics strategies fall short for some, but not for others
- 4. Experimentation Fast exploration Semi-structured data Big Data OR This is a result of businesses being forced to maintain two critical, yet independent analytics systems Proven security & privacy Dependable performance Operational data Relational Data Data Lake Data Warehouse
- 5. Welcome to limitless Azure brings these two worlds together, in a single service, to provide limitless analytics Ease of use Fast exploration Quick to start Proven security Airtight privacy Dependable performance Data warehousing & big data analytics—all in one service
- 6. Welcome to limitless Data warehousing & big data analytics—all in one service Azure brings these two worlds together, in a single service, to provide limitless analytics Azure Synapse Analytics
- 7. Introducing Azure Synapse Analytics A limitless analytics service with unmatched time to insight, that delivers insights from all your data, across data warehouses and big data analytics systems, with blazing speed Simply put, Azure Synapse is Azure SQL Data Warehouse evolved - blending big data, data warehousing, and data integration into a single service for end- to-end analytics at cloud scale
- 8. INGEST Modern Data Warehouse PREPARE TRANSFORM & ENRICH SERVE STORE VISUALIZE On-premises data Cloud data SaaS data
- 9. The cloud data warehouse in the data-driven business Azure Databricks Azure Data Lake Storage Business services Power BI Azure Data Factory Azure Synapse Analytics
- 10. Azure Synapse Analytics Integrated data platform for BI, AI and continuous intelligence Platform Azure Data Lake Storage Common Data Model Enterprise Security Optimized for Analytics METASTORE SECURITY MANAGEMENT MONITORING DATA INTEGRATION Analytics Runtimes PROVISIONED ON-DEMAND Form Factors SQL Languages Python .NET Java Scala R Experience Synapse Analytics Studio Artificial Intelligence / Machine Learning / Internet of Things Intelligent Apps / Business Intelligence METASTORE SECURITY MANAGEMENT MONITORING
- 11. Multiple clusters over shared data Online scaling Workload aware query scheduling Single Access and Security for Data Warehouse and Data Lake workloads Spark + SQL integrated runtime Cluster + Serverless Innovations in Azure Synapse
Editor's Notes
- #4: HBR Report: https://azure.microsoft.com/en-us/resources/why-analytics-strategies-fall-short-for-some-but-not-others/
- #8: Same industry leading data warehouse: https://azure.microsoft.com/en-ca/blog/analytics-in-azure-is-up-to-14x-faster-and-costs-94-less-than-other-cloud-providers-why-go-anywhere-else/ - elevating it to a whole new level of performance and capabilities
- #10: TALK TRACK: Now let’s describe how data warehouse serves a business through a simple architectural diagram. - The modern data warehouse sits at the heart of enterprise analytics, as a source of sanctioned data, as a system of record and as a hub, serving models for reporting, business intelligence and data science
- #11: No need for multiple client tools like SSMS, PBI Desktop, Azure Storage Explorer etc.
- #12: Multiple compute pools over common shared data provides workload isolation and predictable performance for different teams within an enterprise. Transactional consistency of data is guaranteed and no silo’s are created. Online scaling provides Synapse to adjust compute resources allocated to a workload in real-time without any interruption to running queries The new cloud scale distributed query processor dynamically assigns resources to maximize query throughput and automatically rebalances compute as workload characteristics change One experience for both data warehouse and data lake, manage, monitored, and secured through a single platform experience One-click choice of SQL or Spark runtime within the single service enables any analytics of all data in one place Cluster and Serverless form factors provides flexible compute allocation to suit the analytics workload