1. Change Is Easy! Managing Change is Hard
James McAuliffe
BI Solution Architect, MCITP
CCG Analytics
Change Is Easy! Managing Change is Hard
A Walk Around SQL Server Tools for Databases

2. Agenda – Walk Arounds Database Change Management Principals
Why Is it Important
Overview of Database Development Lifecycle
Change Management Approaches
Concepts for Development And Deployment
Manual Change Management Options
Introduce SQL Server Data Tools for Databases (VS2017)
Walkaround the Tool – How Does it Fit?
Demos – About 30-35%
Intermediate for concepts, less complicated for tooling
Database Change Management Principals
Why Is it Important
Overview of Database Development Lifecycle
Change Management Approaches
Concepts for Development And Deployment
Manual Change Management Options
Introduce SQL Server Data Tools for Databases (VS2017)
Walkaround the Tool – How Does it Fit?
Demos – About 30-35%
Intermediate for concepts, less complicated for tooling

3. CCG Analytics Solutions & Services
CCG is an award winning consulting firm that values our Culture, our Community and our continued Growth
“Work hard, play hard” Culture
Chartered Community Council
Award winning:
Sustained Growth of 20-30% year
Best Places to Work
Fast 50, Inc 5000

4. About Me
BI Solution Architect, Cloud Solution Architect, Data Platform
Tampa Native
USF Alumni: Electronic Music Composition
Travelled Country Doing High School Assemblies
Built commercial cleaning business in Florida, Georgia, Texas, South Carolina.
Developed software on which the business ran
Entered IT/MIS in the 90s and loving it ever since – first gig was with Pam Shaw
4 Daughters
Certs in Database Development, Business Intelligence, Microsoft Solution Framework, etc.

5. CCG Clients

6. My Spare Time
Automobile Functional Decomposition
Chaos to Order

7. About You: Why Are You Here?
Roles?
Industry: What Types of Businesses?
What Do You want to get out of this?
About You
Roles
Technologists
Business
CIO - CTO - CDO
MIS
Recent Graduates
Architects
Industries:
Financial
Retail
Manufacturing
Experience in Azure??
Are you a:
Database developer?
Database Administrator?
BI Developer?
Other --??
I consider myself a database developer, but a lot of times I have to function in the DBA role.
This session is an entry level session for:
Database Developers – The people who make the change
Database Administrators – The people who deliver the change
PEOPLE WHO DEPEND ON DATA FOR A LIVING
Client with 5 database environments
Develop/Sandbox
Collaborative Development
Test
UAT (off premise)
Production
We were discussing the deployment strategy, and how this tool was going to be used, and the handoff to the DBA
One of the db developers said: “This tool seems really cool.”
So I added more discussion on the WHY…..
Presentation will be balanced between talking about the change and product demo
For the Database Developers
Want to MAKE change
Don’t want to have to care about the change
Maybe YOU have to deliver the scripts….. Let’s make that easier
For the Database Administrators
Want to CONTROL change
Don’t want to lose their data
Want everything to work
Want to be able to capture all the changes
NEED to be able to introduce change without destroying the database

8. Why Do You Care? Volume and Pressure
44 ZB (updated)
5 exabytes is ALL words ever spoken by the entire human race, through history.
more than 5,200 gigabytes for every man, woman, and child in 2020
By 2020, data will reach 44ZB, quadruple what it is today
Measuring Impact
Terabyte: 1000 Gigabytes
Petabyte: 1000 Terabytes
Exabyte : Petabytes
You do not see curves like this very often: think of it as surfing a wave: if you don’t catch it at the beginning, you can never catch up.
So this type of thing represents either the BIGGEST THREAT or AMAZING OPPORTUNITY
HOW does this impact your company's data strategy?
Think about your current company’s data strategy?
Let’s look at what this new data looks like

9. Change Is Going to Happen:
Inevitable
Easy To Introduce
Hard to Manage
Expensive
Sometimes TOO expensive
Change is Easy – Managing Change Is Hard
Change Is
Inevitable
- if your company is growing – that drives change
- if your company is shrinking – that drives change
2. Easy to Introduce
- in high demand
- database developers “Just this one field”, “just this one…. Whatever”
3. Hard to Manage
- We don’t often see the value of saying NO
- no one know about the downstream effects
- hard to have visibility into the cumulative effects of lots of little changes made by lots of people.
4. Expensive
-making change is expensive
… but not TOO Expensive:

10. Data Is Valuable Your Cell Phone Data Your Digital Pictures
Your Company’s Data
Marketing Contacts
Operations
Payroll
Financial Reporting
What are some data you have that is valuable?
Cell phone,
Pictures on your computer.

11. Data Is Expensive Expensive to Acquire Expensive to Retain
Expensive to LOSE

12. Modern Data Warehouse: Deliver and Enable
INGEST
STORE
PREP & TRAIN
MODEL & SERVE
Logs (unstructured)
Azure Data Factory
Move and Transform
Azure SQL Database
Media (unstructured)
Azure Data Factory
Azure Databricks
Files (unstructured)
Azure Blob Storage
Azure Data Lake Store Gen 2
Azure Analysis Services
Power BI
Azure SQL Database
This type of Database Development Lifecycle is centered around the presentation layer, but the governance of the data management goes up and down the data management and lineage chain.
Azure data factory to ingest from any source and transform data into any required shape
Assume ADF pipelines
Assume SSIS (Integration Runtime)
Assume Databricks capabilities (Python, Spark, etc)
Unstructered and file-based data is landed in the DataLake and runs through any process needed using the tooling indicated.
Structured data can go directly to a relational repository that will contain
Staging -> Integration (ODS/Inmon rationalization area)
Data from the DataLake or the relational repository can be moved into the reporting dimensional layer using a combination of ADF, SSIS, or databricks, depending on the source of the data required.
The Azure SQL Database in the “Model and Serve” section is a dimensional repository that is a final data presentation layer.
Azure Analysis services is used for modeling capabilities and to provide a universal semantic layer.
PowerBI Is used for the visualization reporting
Note that PBI can also blend and present Iot Streaming, uncurated, or data from other sources
Analytic Enablement
Azure SQL Database
Business/custom apps
(structured)
Microsoft Azure also supports other Big Data services like Azure HDInsight and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs.

13. Database Development Lifecycle (Relational)
Analysis
Logical Design
Physical
Develop
Deliver
Maintain
A DDLC, by process, is not that different from a SDLC.
Data CONTENT, and the value of the data, makes the delivery and maintenance of the data entities more challenging.
Envision
Plan/Design
Build/Develop
Deploy (with test!)
Maintain/Stabilize

14. Data Change Delivery Is Challenging
class AuctionApplication (
int id;
void MethodA(); )
class AuctionApplication (
int id;
void MethodA();
void MethodB(); )
class AuctionApplication (
int id;
string cacheTitle;
void MethodA();
void MethodB(); )
App
V 1
Revision History
V 2
V 3
CREATE TABLE dbo.Auction (
id INT NOT NULL,
name VARCHAR(25) NOT NULL,
start DATETIME NULL,
len INT NULL )
ALTER TABLE dbo.Auction
WITH CHECK ADD CONSTRAINT
Au_PK PRIMARY KEY (id)
ALTER TABLE dbo.Auction
WITH CHECK ADD CONSTRAINT
Au_SK UNIQUE (name)
Database
This slide originally created by Gert Drapers for Team Database Developer GDR2.
So, with DDLC, our versioning challenge is quite different than SDLC.
So let’s talk about the versioning challenge:
Take an example with of a revision chronology or history….
Compare DEV development to Database Development.
Distinct roles, similar functionality: responsible for change.
App Dev rolls on (simple example – we are not talking about data bound UI stuff here – don’t get confused)
Database development beyond
Difference is that database development is STATEFUL…. We have to be aware of what is there, and “change” it
We have to preserve the data content.
What does that currently look like?

15. T-SQL Change Management DEMO
Create a table named AUCTION
Populate the table.
Make some changes.
Figure out some stuff
See database script project:
T-SQL Scripts
Demo creating the AUCTION table.
Delete existing table if there
Create the table
Populate the table with demo script 1
Make a stored procedure from that.
Make the change(s) - talk about impacts
Do typical things, allow mistakes to happen.
You should notice problems with any dependent constraint or object.
Repopulate the table – this should be broken.
Discuss what happened and how we might mitigate the problems.

16. Review: Change Management Is Hard
Change WILL Happen
Data Is Valuable
Data Is Expensive
Data Loss is Even More Expensive
Data Change Delivery Can Be Challenging
Next: Make It Easy

17. Change Management Approach
TechReady4
Change Management Approach
Single Source Of Truth
Organizational Support
People and Processes to determine change (Governance)
Structural Organization in the Library
Development Support
Deployment
Compare
Delta Scripts
Maintenance
Delta
A good change management strategy will have AT LEAST the listed components
ONE SOURCE OF TRUTH
Organizational Support
A single authoritative definition that everyone agrees is the standard.
DEVELOPMENT Support
Structural organization – find things (Sharepoint comparison)
What, why, when, how
MAINTENANCE
Generate delta scripts
Compare versions
Gen Delta Scripts – introduce the change
Compare
© 2007 Microsoft Corporation. All rights reserved.
This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.

18. Change Management is Hard – Make it Easy
SQL Server Data Tools (SSDT)
Free since SQL Server 2012
Free with Visual Studio Community Editions and up

19. One Source Of Truth Multiple Database Targets Multiple Developers
Multiple Versions
One Ring To Rule Them All - SSDT

20. Organize Having Lots of Stuff is Useless
SSDT Uses Same Organization Model As SSMS
Solution: Organize By
Object
Schema
Schema/Object
SQL Server Object Explorer (SSDT) = Object Explorer (SSMS)
If it’s all the same to you…
Organize!!
(Just) having lots of stuff is useless – Sharepoint Anyone?
How about a familiar interface?

21. SSMS vs SSDT – which is which?
Both SSMS and SQL Server Object Explorer in SSDT use the same IDE design paradigm
Show AW_Demo vs. AdventureWorks

22. Develop VS Developers and Database Developers Share Common Construct
Developers can work either
Offline
Online
When Done, Check Changes Into the DB Project
Multiple Sources, One Destination

23. Deploy Handoff is continual
When time for a release, all roles can see all changes consistently
Database Developer OR
Application Developer OR
DBA
Generate one script
Life is good.

24. Visual Studio Interface
Here is where you can find the tools.
If you do not see SQL Server, then check the “Get Tools and Features”

25. DEMOS Open Visual Studio and Explore SQL Server Data Tools
Open Existing Project without Source Control
Capture from Database
Make Changes w/o using Refactor
Rename
Show Snapshot management of Changes
Revert to baseline and carry through
Add Database Management to Source Control
Open ChangeDemoAuction project
- Create a table
Show artifacts
Tables
Stored proc
Refactor rename auction the change(s) - talk about impacts
Repopulate the table.

26. Review: Change Management Approach
TechReady4
Review: Change Management Approach
Single Source Of Truth
Organizational Support
People and Processes to determine change (Governance)
Structural Organization in the Library (Consistency)
Development Support
Deployment
Compare
Delta Scripts
Maintenance
Delta
A good change management strategy will have AT LEAST the listed components
ONE SOURCE OF TRUTH
Organizational Support
A single place that everyone agrees is the standard.
DEVELOPMENT Support
Structural organization – find things (Sharepoint)
What, why, when, how
MAINTENANCE
Generate delta scripts
Compare versions
Gen Delta Scripts – introduce the change
Compare
© 2007 Microsoft Corporation. All rights reserved.
This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.

27. Resources SQL Server Data Tools
SQL Tools and Utilities for SQL Server, Azure SQL Database, and Azure SQL Data Warehouse
Data Developer Center -> Microsoft SQL Server Data Tools
Learn More About Microsoft SQL Server Data Tools
SQL Server Data Tools Team Blog
Download and install SQL Server Data Tools (SSDT) for Visual Studio

28. Thank You!! Change Is Easy! Managing Change is Hard
James McAuliffe CCG Analytics
Evaluations!!