International Conference on Data Applications and Management

November 29-December 1, 2021 | UK

Data Applications and Management
This conference reviews and discusses, the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology.


This video looks into the latest version of the Talend Big Data Sandbox and how to get Hadoop Docker started.


Planetary Science Informatics and Data Analytics Conference

June 21-23, 2022 | Spain

Following the success of the 1st edition of the PSIDA conference in St Louis in 2018, and the joint conference with the Planetary Data Workshop in Flagstaff in 2021, we are pleased to invite you to join us at ESAC (European Space Astronomy Centre) in Villanueva de la Cañada, Spain on 21-23 June 2022 to discuss current topics in planetary science informatics and data analytics.

The Data Science Conference

May 12-13, 2022 | USA

The Data Science Conference is a uniquely excellent conference. Advisory board, speakers, and attendees come from all fields of business analytics and academia like data science, big data, data mining, machine learning, artificial intelligence, or predictive modeling. What brings them here is their common desire to attend an event without being prospected by other attendees.

Data Science for Business Conference and Exhibition

June 22-23, 2022 | Australia

This two-day event is being opened by the Hon Stephen Dawson, Minister for Emergency Services; Innovation and ICT; Medical Research; Volunteering. This exciting event will bring together up to 800 industry professionals and data science providers to explore how data science can be used to support the growth and innovation of WA businesses.

Snowflake Summit 2022

June 13-16, 2022 | USA

As a Snow Row Sponsor, the DQLabs team would love you to stop by our booth #1213C to know how to modernize the Data Quality space and deliver the data that matters to organizations, leaders, and teams across the globe. We believe that Data Relevance is the cornerstone of Modern Data Quality.