Chief Data, Analytics Officers & Influencers, UK 2019

The 10th Big Data Minds offers decision-makers from the DACH region a tailor-made platform to discuss strategy concepts in the context of Big Data & Data Analytics and to present successful projects. The leading big data event brings together more than 200 decision-makers and experts for data strategy & analytics to exchange strategies for the internal and external handling of large amounts of data and methods for their analysis and to find effective solutions to your challenges.

The world’s leading AI & Big Data event series will return to Santa Clara on the 5th-6th October 2022. This technology event is for the ambitious enterprise technology professional, seeking to explore the latest innovations, implementations and strategies to drive businesses forward.

The Data Governance and Information Quality Conference (DGIQ) is the world's most comprehensive event dedicated entirely to Data Governance and Information Quality. December's DGIQ, taking place December 5-9 in Washington, D.C., will continue this tradition of bringing you the very best in Data Governance education. December's DGIQ will have an emphasis on peer-to-peer sharing of practical experiences through case studies. This focus will be complemented by the foremost experts adding insights and authority through in-depth tutorials and workshops. Being in the nation's capital, the event will also include a special focus on the subject matter needs of government agencies.

The data lakehouse is the future for modern data teams seeking to innovate with a data architecture that simplifies data workloads, eases collaboration, and maintains the flexibility and openness to stay agile as a company scales. The Databricks Lakehouse Platform realizes this idea by unifying analytics, data engineering, machine learning and streaming workloads across clouds on one simple, open data platform. In this session, learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload, with examples of real-customer applications, reference architectures and demos to showcase how you can create modern data solutions of your own.