CIO/CDO TOLA Virtual Roundtable

October 6, 2020

Unifying Analytics - Data Architectures for Both
Data Science and Business Intelligence at Scale

The data warehouse has been an analytics workhorse for decades. Unprecedented volumes of data, new types of data, and the need for advanced analyses like machine learning brought on the age of the data lake. But Hadoop by itself doesn’t really live up to the hype. Now, many companies have a data lake, a data warehouse, or a mishmash of both, possibly combined with a mandate to go to the cloud. The end result can be a sprawling mess, a lot of duplicated effort, a lot of missed opportunities, a lot of projects that never made it into production, and a lot of financial investment without return.Get an inside look at some successful production data architectures of organizations with massive workloads. Look under the hood at how other companies have gotten high scale machine learning projects working, and how data architectures are changing over time. Then apply this new knowledge, discuss how it applies to the problems you’re facing, and where we’re all going from here.

Takeaways:

  • Look at successful data architectures from companies like Philips, Anritsu, Uber
  • Learn to eliminate duplication of effort between data science and BI data engineering teams
  • Avoid some of the traps that have caused so many big data analytics implementations to fail
  • Get AI and ML projects into production where they have real impact, without bogging down essential BI
  • Study analytics architectures that work, why and how they work, and where they’re going from here

Speakers Include...

Paige Roberts
Open Source Relations Manager
Vertica

Speaker: Paige Roberts, Open Source Relations Manager, Vertica

In 23 years in the data management industry, I’ve worked as an engineer, a trainer, a support technician, a technical writer, a marketer, a product manager, and a consultant. I’ve built data engineering pipelines and architectures, documented and tested open source analytics implementations, spun up Hadoop clusters, picked the brains of stars in data analytics and engineering, worked with a lot of different industries, and questioned a lot of assumptions.

Now, I promote understanding of Vertica, distributed data processing, open source, high scale data engineering, and how the analytics revolution is changing the world.

Vertica is trusted by thousands of leading data-driven enterprises around the world, including AT&T, Etsy, Twitter, Intuit, Uber and more to deliver speed, scale and reliability on mission-critical analytics. The Vertica Analytics Platform is purpose built from the very first line of code for Big Data analytics. It is designed for use in data warehouses and other big data workloads where speed, scalability, simplicity, and openness are crucial to the success of analytics. Vertica relies on a tested, reliable distributed architecture and columnar compression to deliver blazingly fast speed. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve.

Social Media Links:@VerticaBigData | Vertica LinkedIn

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Invited Members Include...

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Agenda


12:30pm-12:40pm (CST)

Executive Introductions


12:40pm-1:00pm (CST)

Presentation – Production Analytics Architecture Examples


1:00pm-1:15pm (CST)

Executive Round Table Discussion – Architectural Choices


1:15pm-1:30pm (CST)

Presentation –Data Architecture Evolution


1:35pm-2:00pm (CST)

Executive Round Table Discussion – Trends, Challenges & Takeaways

Title Representation

  • C-Level
  • SVP/VP Level
  • Sr. Director Level

Industry Breakdown

  • Finance & Insurance
  • Media
  • Healthcare & Pharma
  • State & Federal Government
  • Retail & Manufacturing
  • Other

Org. Size by Revenue

  • 250M - 500M
  • 500M - 1BN
  • 1BN +

Got questions? We’ve got answers!

Why should I attend?

Your time is valuable and we make sure to make the most of it! We take the time to figure out your challenges and customize your experience to meet your needs. Our agendas are tailored to your feedback and we pride ourselves in covering the most cutting-edge content delivered by renowned industry experts. Look forward to building enduring partnerships and together we’ll go straight to the top.

Where is the event taking place?

The event is by invitation-only. The location will be released to all attendees once your registration has been confirmed. 

What is the dress code?

We recommend business attire. Most attendees wear suits or comparable attire. Ties are optional.

Can I bring a colleague with me?

Yes! We always urge our members to refer their colleagues! We love adding new members to the community, especially if they come highly recommended by a current member. Either have them reach out to your Apex POC or have them fill out the Member Registration Form.

What if I have dietary restrictions?

No problem! Please let your Apex POC know as soon as possible in order for us to work with the venue on providing alternate options for you at the event.

What if I want to speak at an assembly?

Apex is always looking for speakers that can contribute their valuable insight. If you would like to speak, please contact your Apex POC or fill out the Speaker Registration Form on the Assemblies page. Please keep in mind that we receive many inquiries for speaking and sessions are available on a first come first served basis. But no need to worry, we have plenty of opportunities available at future assemblies.

I plan on being in attendance, but what if something comes up and I have to cancel?

We understand that something may come up on your calendar! Before canceling with us, please know that we will have a separate room for attendees to step out for work-related activities (meetings, emails, conference calls, etc.). If you must cancel, we just ask that you let us know at least 48 hours in advance so that we can open up the waitlist for another member.

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