Digital transformation efforts, and developing data maturity often lead to organizations requirements changing. This means new databases - both cloud and on-premises - need to be implemented, and new types of data need to be processed and managed. Key here, is a flexible tool for managing multiple databases. In this session, Bert Scalzo explains the benefits of Aqua Data Studio - one tool to manage a wide array of databases environments whether cloud, on-premises or hybrid. Meaning you can manage more, with less. About the presenter: Bert Scalzo is an Oracle ACE, blogger, author, speaker and database technology consultant. He has worked with all major relational databases, including Oracle, SQL Server, DB2, Sybase, MySQL, and PostgreSQL. Bert’s work experience includes stints as product manager for multi-database tools such as DBArtisan and Aqua Data Studio at IDERA, and chief architect for the popular Toad family of products at Quest Software. He has three decades of Oracle® database experience and previously worked for both Oracle Education and Oracle Consulting. He holds several Oracle Masters certifications and his academic credentials include a BS, MS and Ph.D. in computer science, as well as an MBA.

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Managing Digital Transformation on a Budget
Managing All Your Databases with One Tool Helps Cut
Costs and Save Time

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Books written by the presenter
2
The two
most recent
The first &
most known
My website has over
100 papers
www.bertscalzo.com

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Books presenter as contributor or tech editor
SQL in a Nutshell, 4th
Edition
Kevin Kline, Regine O.
Obe, and Leo S. Hsu

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Agenda …
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•One of today’s key challenges for all enterprises
•How that challenge effects DBA role & responsibility
•How can one best save time, money, and aggravation
•Product demo
•Q&A session

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One of today’s key challenges …
5
• Enterprises need to increase their data maturity
• It’s a requirement of effective digital transformation
• That requires organizations to manage more of the four Vs
§ Large volumes of data
§ Across a variety of
>Sources
>Architectures
>Purposes
>Destinations
§ With stringent vigilance
§ Delivered at high velocities

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DBA’s must manage …
1. Larger total number of databases
2. Larger databases (more & bigger tables)
3. More database versions/releases
4. More database platforms/vendors
5. More database design architectures
6. More database business purposes
7. The cloud (usage & migration)
8. Number of cloud providers
9. Differing cloud terminologies
10. Cloud proprietary databases
11. Increased security requirements
12. Stricter compliance requirements
13. More frequent deployments

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How do we measure “big”?

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Worldwide data consumption …
That’s 180 billion terabytes of data!!!

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Remember the “good old” days?
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DBAs got to work in a swim lane,
i.e. with just one or maybe two
database vendors & few versions

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Even that’s hard these days …
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Even if you’re still in a swim lane,
the # versions and the end of life
support complexities are stressful

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Plus new database architectures …
11

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Plus purpose specific databases …
12

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Choice of numerous cloud vendors …
13

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For DB’s, Really Big Three + Oracle
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In this presentation we try to remain cloud neutral and use generic terminology

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Same Thing, Different Terminology …
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AMI

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Cloud vendors have new databases …

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Geek Sync Webcast 2021008-18: “Easy Database Security Best Practices”
https://www.idera.com/resourcecentral/webcasts/geeksync/easy-database-security-best-practices
Security & Compliance …
1. Change Network Ports
2. Disable Default Accounts
3. Enforce Strong Passwords
4. Password Management
5. Drop Default Roles
6. Create & Use Roles
7. Schemas Own Objects
8. Grant Least # Privs
9. Retire Idle Users/Logins
10.Enable DB Auditing
11.External Authentication
12.OS File Privs
1. GDPR
2. HIPAA
3. PCI DSS
4. SOX 1 & 2
5. GLBA
6. CCPA
7. FISMA
8. FERPA
9. NIST SP 800-53
10.ISO 27000 series
11.BS 10012
12.PIPEDA

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Typical slow day for a DBA …

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Delivering data to consumers …
•Creating ad-hoc data warehouse subsets as data marts
•Discovering source data and feeds to add to data lakes
•Providing business analysts exported data sets for their
tools such as spreadsheets
•Providing data analysts data access for their tools such as
Tableau Power BI, Qlik, Alteryx, Micro Strategy, etc.
•Data discovery & support both ETL and ELT processes
•Creating strategic “data analytics” deliverables of the data

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How do we accomplish more both effectively & efficiently ???

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Need one dynamic tool across all these needs …
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Are there any easy to use database development &
management tools that can address these challenges?

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THANKS!
ANY QUESTIONS?
You can contact me at:
bertscalzo2@gmail.com