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.
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
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
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
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
No need for multiple client tools like SSMS, PBI Desktop, Azure Storage Explorer etc.
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