1.
Azure Synapse Analytics
presented by: Matthew Bowers | Director – Data & Analytics

2.
Why Oakwood?
10 Gold Competencies
Since 1981, Oakwood has been helping companies of all
sizes, across all industries, solve their business problems.
We bring world-class consultants to architect, design and
deploy technology solutions to move your company
forward.
Our proven approach guarantees better business
outcomes. With flexible engagement options, your
project is delivered on-time and on budget.
As a Microsoft Gold Partner, we are a leading provider of
transformative digital and cloud services, managed
business services and custom application development.
When you choose to engage with us, you’ll enjoy
improved customer relationships, enhanced productivity,
reduced IT costs and less responsibility for your
technology. With our expertise and industry insights,
we’ll deliver better business outcomes with speed and
certainty.
Are you using data to better understand your business,
customer behavior and growth opportunities? Many
organizations are unprepared to ingest the sheer
volumes and variety of data at their disposal. This leads
to missed opportunities, uncertainty about the future
and inability to make insightful and actionable decisions.
Oakwood helps to bridge these gaps and bring solutions
that provide actionable insights. We bring your many,
disparate data sources together and give you a clear
picture of your current state and help you visualize future
opportunities.
Use Your Critical Business Data to Become an Insights
Driven Organization and Digitally Transform!

3.
80%
report struggling to
become mature users
of data*
55%
report data silos and
data management
difficulties as roadblocks*
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
Businesses are forced to maintain
two critical, yet independent analytics systems
Proven security & privacy
Dependable performance
Operational data
Relational Data
Data Lake Data Warehouse

5.
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.
Azure brings these two worlds together, in a single service,
to provide limitless analytics
Azure Synapse Analytics
Data warehousing & big data analytics—all in one service

7.
Unmatched SecurityUnified ExperienceLimitless Scale Powerful Insights
Azure Synapse Analytics
Provisioned Data Warehouse On-demand Query as a Service

8.
Limitless scale provides a
breathtaking view of your data
All of it, from warehouses and Big Data lakes
with limitless scalability, provisioned or
serverless,
and intelligently optimized workload
performance.

9.
A breakthrough in the cost
of enterprise analytics
94% less
Up to 14x faster and costs 94%
less than other cloud providers
* GigaOm TPC-H benchmark report, January 2019, “GigaOm report: Data Warehouse
in the Cloud Benchmark
With the best price-
performance in the business

10.
Unlock powerful insights, get a multi-
layered grasp of your business
Integrated BI and machine learning drives
insight for all users
from the data scientist, coding with statistics,
to the business user with Power BI.

11.
A consistent version of data for everyone and
all analytics use cases,
but with zero management and
maintenance,
plus financially backed SLAs.
Build end-to-end analytics
solutions with a unified experience

12.
We protect sensitive data in real time,
monitoring and responding to threats as
they arise,
with industry-leading security and privacy
features
at no extra cost to you.
Rigorous assurance of safe-keeping with the
most advanced security and privacy features

13.
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

14.
Synapse Analytics
Features

15.
Azure Synapse Analytics
Studio

16.
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

17.
Studio https://web.azuresynapse.net

18.
Azure Synapse Analytics
Data Integration

19.
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

20.
Azure (15) Database & DW (26) File Storage (6) NoSQL (3) Services and App (28) Generic (4)
Blob storage Amazon Redshift Oracle Amazon S3 Cassandra Amazon MWS Oracle Service Cloud Generic HTTP
Cosmos DB - SQL API DB2 Phoenix File system Couchbase Common Data Service PayPal Generic OData
Cosmos DB - MongoDB API Drill PostgreSQL FTP MongoDB Concur QuickBooks Generic ODBC
Data Explorer Google BigQuery Presto Google Cloud Storage Dynamics 365 Salesforce Generic REST
Data Lake Storage Gen1 Greenplum SAP BW Open Hub HDFS Dynamics AX Salesforce Service Cloud
Data Lake Storage Gen2 HBase SAP BW via MDX SFTP Dynamics CRM Salesforce Marketing Cloud
Database for MariaDB Hive SAP HANA Google AdWords SAP Cloud for Customer (C4C)
Database for MySQL Apache Impala SAP table HubSpot SAP ECC
Database for PostgreSQL Informix Spark Jira ServiceNow
File Storage MariaDB SQL Server Magento Shopify
SQL Database Microsoft Access Sybase Marketo Square
SQL Database MI MySQL Teradata Office 365 Web table
SQL Data Warehouse Netezza Vertica Oracle Eloqua Xero
Search index Oracle Responsys Zoho
Table storage
90+ Connectors out of the box

21.
Azure Synapse Analytics
SQL Analytics (formerly SQL Datawarehouse)

22.
Best in class price
per performance
Developer
productivity
Workload aware
query execution
Data flexibility
Up to 94% less expensive
than competitors
Manage heterogenous
workloads through
workload priorities and
isolation
Ingest variety of data
sources to derive the
maximum benefit.
Query all data.
Use preferred tooling for
SQL data warehouse
development
Industry-leading
security
Defense-in-depth
security and 99.9%
financially backed
availability SLA
Azure Synapse – SQL Analytics
focus areas

23.
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

24.
SQL Monitoring
Overview
Monitor SQL Pool in Azure Portal for overall usage
and query activities.
Benefits
Access SQL Audit Logs for my SQL computes
Monitor status and progress of all/specific activities
Dashboard view to monitor performance
Get to know scale of SQL compute resource

25.
SQL DW Architecture (MPP)ComputeRemotestorage
Cache TempDB
NVMe SSD
Cores Memory
Data
Log
Cache TempDB
NVMe SSD
Cores Memory
Cache TempDB
NVMe SSD
Cores Memory
Snapshot backups
Control
Cores Memory
SSD TempDB

26.
Automated Tiering Of Storage Layers
Memory
Adaptive Cache
Remote Storage
∞
hot data
warm data
cold data

27.
Data Warehouse Units (DWU) DWUc
100
200
300
400
500
1000
1500
2000
2500
3000
5000
6000
7500
10000
30000

28.
Azure Synapse Analytics
Spark

29.
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

30.
Languages
Overview
Supports multiple languages to develop
notebook
• PySpark (Python)
• Spark (Scala)
• .NET Spark (C#)
• Spark SQL
Benefits
Allows to write multiple languages in one
notebook
%%<Name of language>
Offers use of temporary tables across
languages

31.
Spark Monitoring
Overview
Monitor Spark pools, Spark applications for the progress and
status of activities
Benefits
Monitor Spark pools for the status as paused, active,
resume, scaling and upgrading
Build a dashboard to monitor performance
Track the usage of resources

32.
Azure Synapse Analytics
Foundation

33.
Manage – Access Control
Overview
It provides access control management to workspace
resources and artifacts for admin and users
Benefits
Share workspace with the team
Increases productivity
Manage permissions on code artifacts and Spark
pools

34.
Azure Synapse Analytics
Connected Services

35.
Azure Synapse Analytics
On-premises data
Cloud data
SaaS data
Limitless analytics service with unmatched time to insight
Unified platform and experience
Synapse Studio
Integration Management Monitoring Security
Analytics Runtimes
SQL
Azure Data Lake Storage
Power BI
Azure Machine Learning

36.
Azure Machine Learning
Overview
Data Scientists can use Azure ML notebooks to do
(distributed) data preparation on Synapse Spark compute.
Benefits
Connect to your existing Azure ML workspace and project
Use the AutoML Classifier for classification or regression
problem
Train the model
Access open datasets

37.
27%
Faster time to
insights
271%
26%
Lower total cost of
ownership
60%
Increased customer
satisfaction
* Forrester, October 2019, “The Total Economic Impact of Microsoft Azure Analytics with Power BI”
Maximize ROI with
Azure Synapse Analytics and Power BI

38.
Power BI
Overview
Power BI is a business analytics service
that delivers insights to enable fast,
informed decisions
Benefits
Create Power BI reports in the workspace
Have access to published reports in
workspace
Update reports real time from Synapse
workspace to get it reflected on Power BI
service
Visually explore and analyze data

39.
Summary
• Azure Synapse Analytics is a limitless analytics
service, that brings together enterprise data
warehousing and Big Data analytics.
• It gives you the freedom to query data on your
terms, using either serverless on-demand or
provisioned resources, at scale.
• Azure Synapse brings these two worlds
together with a unified experience to ingest,
prepare, manage, and serve data for
immediate business intelligence and machine
learning needs.

40.
Questions

41.
What’s Next?
• Onsite Lunch and Learn
• Demo Session
• MTC Architecture Design Session
• Proof of Concept

42.
THANK YOU!
Matthew Bowers
Director–DataandAnalytics
618.972.2152
mbowers@oakwoodsys.com
OFFICE LOCATIONS
St. Louis: 1001 Craig Rd. Suite 305 | St. Louis, MO 63146
Kansas City: 1828 Walnut Street 3rd Floor | Kansas City, MO 64108
Phone: (314) 824-3000
Email: marketing@oakwoodsys.com
www.oakwoodsys.com