Data Architecture Summit

October 14-17, 2019 | USA

April 24, 2019– DATAVERSITY Education, LLC announced the agenda today for the third annual Data Architecture Summit (DAS), which will be held October 14-17, 2019, at the Westin Chicago River North in Chicago, Ill. For more details about the speakers, sessions, venue, and registration options, visit dataarchitecturesummit.com.The four-day event will feature a broad range of expert-led sessions, panel discussions, five-minute lightning talks, and three-hour tutorials and workshops on how to design and manage a modern Data Architecture, covering everything from Big Data and Data Strategy to modeling, data lakes, real-time analytics, and new database technologies and tools. More than 375 data professionals attended last year’s DAS conference, which featured “supremely practical conversations in all facets of the event – during the presentations, between the attendees, and on the product exhibit floor,” says DATAVERSITY CEO and Program Chair Tony Shaw. “It was architect-to-architect, talking business, technology, and data design.”Several registration packages are available to suit the needs of all attendees, whether they are interested in the full event or just one or two days of tutorials. Confirmed sponsors include GraphGrid by AtomRain, XTIVIA, Denodo, erwin, IDERA, TopQuadrant, CirrusPoint Solutions, and Data Blueprint.

Spotlight

At Pivotal we are bringing 2 open source projects together -- Hadoop and the very rapid and widely used Spring Java application development framework to help Big Data Applications.


OTHER PAST CONFERENCES

Data-Driven Government Conference

November 9-10, 2022 | Saudi Arabia

Under vision 2030, the Kingdom has set specific targets to transform into a digital society and economy utilizing big data as a national asset to achieve this objective. Big data and AI are already disrupting several sectors in the country and have created tremendous achievements especially in disaster management, road safety, and energy consumption management. The Saudi big data and AI market is expected to reach USD 891.74 million by 2026 (Mordor Intelligence report) as the country is creating AI-friendly ecosystems and supporting adoption of data analytics solutions and smart city programs such as NEOM.

2nd Big-Data & Advanced Analytics in Power & Utilities

September 26-27, 2022 | Germany

Artificial intelligence is changing the way that many industries operate and has huge potential to transform the utilities industry. Utilities are turning to big data capabilities to help them improve asset maintenance, integrate DERs, improve demand response, and increase online customer facing applications. The 2nd virtual Big-Data & Advanced Analytics for Power & Utilities Conference, offers content for decision-makers and experts of technology strategy, analytics, data-science, and innovation from leading Energy companies. Learn how Data and analytics leaders can leverage AI to anticipate, shift and accelerate transformation in the face of disruption, uncertainty, and opportunity.

Chief Data & Analytics Officers Calgary 2022

November 15-16, 2022 | Canada

New to Western Canada this year, CDAO Calgary is designed for Chief Data Officer (CDO), Chief Analytics Officer (CAO), and senior data & analytics roles in Calgary and the surrounding provinces of Canada. This forum is led by CDOs, CAOs, and CDAOs but is open to all IT, Data, and Analytics Leaders from industries like Financial Services, Oil & Gas, Manufacturing, Retail, Tourism, and more, to allow you to meet and network with the very best of your peers from a range of organizations and experiences. Our attendees are Senior Data & Analytics Leaders who need to attract next-generation workers, build data-fueled teams and organizations, and insist on data transparency so they can modernize their teams, and improve data ROI.

Data Teams Summit 2023

January 25, 2023 | USA

DataOps Unleashed is now Data Teams Summit! We'll continue to leverage DataOps and expand our focus on the teams building, managing, monitoring, and analyzing data.