DataOps Boot Camp

The world of data management, with its rigid schemas, silos and manual processes, has historically been at odds with the fast, automated, highly-iterative world of DevOps. Building upon the success of DevOps, DataOps has emerged as an agile methodology to improve the speed and accuracy of analytics through new data management practices and processes, from data quality and integration, to model deployment and management. By leveraging automation, data democratization and greater collaboration amongst data scientists, engineers and other technologists, DataOps can help organizations improve the time-to-value of their data. Many insights-driven enterprises have already adopted agile approaches to data science, including Netflix, Facebook and GSK. Register for DataOps Boot Camp today to hear about the key supporting technologies, strategies, real-world success stories and how to get started on your DataOps journey.

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


Wednesday, May 22

Track C: DataOps Boot Camp

Julie Langenkamp, Director, Editorial & Content Strategy, Radiant Advisors

C201. Succeeding With DataOps Today

10:45 AM2019-05-222019-05-22

Wednesday, May 22: 10:45 a.m. - 11:30 a.m.

DataOps is an emerging set of practices, processes, and technologies for building and enhancing data and analytics pipelines to better meet the needs of the business.

Five Key Requirements for DataOps Success

10:45 a.m. - 11:30 a.m.

Join this presentation to explore the five key steps necessary to be successful with DataOps, including the process and cultural shift required. The discussion also covers the benefits of enabling DataOps’ success, such as improved productivity, streamlined and automated processes, increased output, and higher collaboration across teams. Learn how to better manage data flow across the data lifecycle—from ingestion to provisioning to analytics; derive tips from use cases involving data lakes, cloud, and data warehousing for better business insights; and increase collaboration, productivity, and business value.


, VP of Product Management & Marketing, Attunity

How to Succeed with DataOps Today

10:45 a.m. - 11:30 a.m.

The list of failed Big Data projects is long. They leave end users, data analysts, and data scientists frustrated with long lead times for changes. Bergh illustrates how to make changes to Big Data, models, and visualizations quickly, with high quality, using the tools teams love. Synthesizing techniques from DevOps, Demming, and direct experience shows you how to succeed with DataOps today.


, CEO, Head Chef, DataKitchen


C202. The Rise of Containers

11:45 AM2019-05-222019-05-22

Wednesday, May 22: 11:45 a.m. - 12:30 p.m.

The use of containers—which enable applications, data, dependencies, and runtimes to be housed within a portable environment to support greater flexibility—is becoming more widespread.

Understanding Database Containerization

11:45 a.m. - 12:30 p.m.

Container usage is now being adopted by organizations of all sizes, from small startups to companies with huge, established microservices platforms. This presentation is aimed at helping practitioners navigate the minefield of database containerization and avoid some of the major pitfalls that can occur. It covers considerations such as container configuration and homogeneous versus heterogeneous node types; data resilience, resources, and storage; cluster upscale, downscale, and upgrade; and data locality and networking.


, Director of Product Management, Intersystems and BA Insight, MIT

, Product Specialist, InterSystems


C203. Operationalizing Big Data Workloads

02:00 PM2019-05-222019-05-22

Wednesday, May 22: 2:00 p.m. - 2:45 p.m.

When confronted with Big Data and expected to make sense of it, the role of DevOps and DataOps should be carefully considered.


C204. Unlocking the Power of Data Wrangling

03:00 PM2019-05-222019-05-22

Wednesday, May 22: 3:00 p.m. - 3:45 p.m.

Data wrangling skills and capabilities are critical and a true business imperative. Organizations that are unable to derive true business insights from data will be left behind in the ever-changing and fast-moving digital economy.

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