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7/22/2018 9:21 PM BRK3270 Building a Better Data Solution: Microsoft SQL Server and Azure Data Services Joey D’Antoni Principal Consultant Denny Cherry.

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Presentation on theme: "7/22/2018 9:21 PM BRK3270 Building a Better Data Solution: Microsoft SQL Server and Azure Data Services Joey D’Antoni Principal Consultant Denny Cherry."— Presentation transcript:

1 7/22/2018 9:21 PM BRK3270 Building a Better Data Solution: Microsoft SQL Server and Azure Data Services Joey D’Antoni Principal Consultant Denny Cherry and Associates Consulting © Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2 The Old Business Process
On-Premises Data Warehouse Deliver Customized Flat Files Customer Time to Value from Data = Long

3 New Process On-Premises DW (Moving to IaaS)
7/22/2018 9:21 PM New Process On-Premises DW (Moving to IaaS) Load Data in SQL Data Warehouse Deliver Data to SQL Database (Per Customer) Analysis Services and Power BI for analysis Much faster Time to Value from Data © Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

4 Tools SQL Server 2016 AlwaysOn AG

5 Current Problems Customers have many different requirements
This leads to multiple formats and requirements Customers need help with loading data and analysis

6 Choosing a Solution Azure SQL Data Warehouse was appealing because of ability to pause Data is processed a couple of times daily, but not constantly SQL Database is good target because each customer can have their own login, firewall rules, and schema Azure Active Directory B2B meets security requirements SSIS was chosen for ease of use

7 Loading SQL Data Warehouse
Core Data is on-premises (moving to Azure IaaS) Customer has great deal of experience with SSIS Large amounts of data (5+ TB) Modified DW to support delta loading process

8 SQL DW Load Process On-Premises SQL Server SSIS (On-Premises)
Bulk Copy (BCP

9 SQL Data Warehouse Concept
External Tables linked to Blob Storage External Data Format Defines Tables ”Real Tables” get loaded in parallel and partitioned (by hash, replicated, round-robin) Heavy use of columnstore for large fact tables

10 Keeping Costs Contained
Data Warehouse is only run during data load process Powered down using PowerShell and Azure Automation

11 Loading SQL DB SSIS was chosen over Azure Data Factory
In this model, costs were lower, and simplicity won the day Team’s experience played large factor in decsions

12 SQL DB Loading Process

13 SQL DB Loading Running an SSIS VM for a couple of hours a day is minimal costs SSIS jobs have minimal transformation so fewer resources needed Several jobs can be run in parallel

14 Please evaluate this session
Tech Ready 15 7/22/2018 Please evaluate this session From your Please expand notes window at bottom of slide and read. Then Delete this text box. PC or tablet: visit MyIgnite Phone: download and use the Microsoft Ignite mobile app Your input is important! © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

15 7/22/2018 9:21 PM © Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.


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