Database & DevOps

The world of database management is changing. From the rise of hybrid and multicloud architectures, to the impact of DevOps and automation, database professionals today are flush with new challenges and opportunities. Now, more than ever, enterprises need speed, scalability, and flexibility to compete in today’s business landscape. At the same time, database environments continue to increase in size and complexity. Attend this track to dive into the latest technologies, evolving best practices and key success factors today.

The Database & DevOps Boot Camp is designed for database administrators, database developers, database architects, managers/directors of databases and applications, and associated information management professionals.

Access to Database & DevOps Boot Camp is included when you register for an All Access or Full Two-Day Conference Pass or as a stand alone registration option. View all our registration options here.


Wednesday, May 18

Track C: Database & DevOps Boot Camp

Joe McKendrick, Principal Researcher, Unisphere Research

Now, more than ever, your company needs agility to navigate today’s rapidly changing business world. Therefore, it’s no surprise that DataOps continues to gain a foothold at enterprises seeking quick, actionable insights. The ability to make better decisions, faster, is a goal shared by many enterprises. At the same time, implementing an effective DataOps program requires significant technology, process, and cultural changes. At DataOps Boot Camp, you’ll hear about key supporting technologies, strategies, real-world success stories, and how to get started on your DataOps journey.

Designed for data scientists, data architects, and data engineers, as well as technology decision-makers and administrators. Both DataOps veterans and novices are welcome.


C201. Bringing DevOps to the Database World

10:45 AM2022-05-182022-05-18

Wednesday, May 18: 10:45 a.m. - 11:30 a.m.

DevOps and databases share many common characteristics. They shouldn’t be positioned as being at odds with each other.

What Is DevOps & Why Should DBAs Care?

You may have heard the term “DevOps” a lot lately, but is this just one of those buzzwords that gets thrown around and means something different depending on who’s talking? While traditional software methodologies pit developers and operations folks against each other, DevOps requires that they work together for a common goal. And, ultimately, shouldn’t the software project’s success be everyone’s goal? Come and learn how DevOps is changing the DBAs world for the better.


, Editor & DevOps Advocate, Redgate

How Data Professionals Can Participate in DevOps

Those of us who administer production databases have had to endure significant change relative to how the databases and applications we support are managed. This session introduces DevOps concepts and explain what their impact is on how database administrators and developers manage their infrastructures.


, Senior Solutions Architect, Quest Software


C202. The Evolution of Database Management

11:45 AM2022-05-182022-05-18

Wednesday, May 18: 11:45 a.m. - 12:30 p.m.

The care and feeding (aka management) of databases takes on new meaning in the Internet of Things era.

Rethinking the Database in the IoT Era
The internet has evolved from a human-centric, client-server-based architecture to one where humans and assets (or things) are equal stakeholders. Do our databases, middleware, and client applications still stand up? Gilmore outlines the unique challenges of data operations and analytics in the IoT environment, examines how human and machine interactions drive architecture and deployment, and identifies where we could work to improve our data strategies to fully leverage the IoT opportunity. 

, Director, IoT and Emerging Technology, InfluxData

Scaling Both Writes and Reads with Distributed SQL

Popular wisdom is that cache is king and you can easily scale by fronting your database with caching services like Redis. Moreover, you can scale out your relational database with read replicas. Finally, if that doesn't do it, you can choose a NoSQL database. However, what do you do when you have a lot of writes and a lot of reads, data integrity is critical, and downtime is a nonstarter? A new technology called distributed SQL borrows the best from both relational and NoSQL databases giving you both read and write scale while also ensuring the data is correct. As critical systems, financial systems, and the entire back office moves to the cloud, distributed SQL is key to ensuring data is consistent, available and scalable.


, Senior Director of Product Marketing, MariaDB Corporation


C203. Understanding Software Licensing Today

02:00 PM2022-05-182022-05-18

Wednesday, May 18: 2:00 p.m. - 2:45 a.m.

Licensing has always been tricky but the rise of trolling has created many new things to guard against.

Beware Software License Trolls, the New Danger

Any organization that has gone through a vendor software licensing audit knows firsthand how expensive and draining a process can be for an organization. No one disputes that companies like Oracle, Microsoft, or IBM have a right to be fairly compensated for the use of their software. The same safeguards these organizations put in place to protect their intellectual property can easily be distorted by a software troll against an unsuspecting company to extort millions of dollars. Learn about software license trolls and simple steps to take to ensure your organization is not their next victim.


, Co-Founder/Chief Operating Officer, LicenseFortress

, Product Line Manager, Business Critical Applications, Broadcom (VMware)


C204. [This Session Has Been Cancelled] Data Exhaust or Exhausting Data?

03:00 PM2022-05-182022-05-18

Wednesday, May 18: 3:00 p.m. - 3:45 p.m.

[This session has been canceled due to unforeseen circumstances. We apologize for any inconvenience.]

The notion of data exhaust, all that peripheral data floating around in your organization, can have value to your business operations. It could help with predictive analytics, for example, or customer analysis. But as big data gets even bigger, are we exhausted by all the data at our fingertips? At what point does technology step in to help and which technologies are best suited to deal with data exhaustion? That’s what this panel considers.

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