15 GREAT Data Engineering Conferences to attend in 2023-24
Network with experts, collaborate with leaders, and stay ahead of the curve with a knowledge boost
Are you ready to dive into the world of data engineering and take your skills to the next level? In this blog post, we present to you the ultimate list of 15 GREAT Data Engineering Conferences to attend in 2023-24.
Explore cutting-edge technologies, connect with industry experts, and expand your network like never before. From enlightening sessions to hands-on workshops, these conferences offer an unparalleled opportunity to stay on top of the latest trends, gain invaluable insights, and supercharge your data engineering career. Mark your calendars and get ready for an extraordinary learning experience!
Databricks Data & AI Summit
When: June 26-29
Where: San Francisco (USA)
Data + AI Summit, organised by Databricks, is a leading event that focuses on data engineering, data science, and AI technologies. Attendees can participate in sessions led by industry experts, gain insights into cutting-edge tools and frameworks, and learn about real-world use cases of data and AI.
DataConnect Conference (Previously Women In Analytics Conference)
When: July 20-21
Where: Columbus (USA)
Formerly known as Women in Analytics Conference, DataConnect Conference brings together a global community of industry leaders, technical experts, entrepreneurs, and academia while providing a platform for women to lead the conversations around the latest advancements and methodologies in data, analytics, and AI. This year’s theme is Data as a Product: An Empathetic Approach to Delivering Value.
While their speaker line-up is reserved exclusively for women, all other aspects of the conference are open to everyone.
Gartner Data & Analytics Summit
When: July 31 - August 1
Where: Sydney (Australia)
The Gartner Data & Analytics Summit in Australia is a premier conference for data and analytics professionals. It provides insights into the latest trends, strategies, and technologies in the field of data analytics. The event includes presentations, case studies, and analyst-led sessions to help organizations harness the power of data.
Google Cloud Next
When: August 29-31
Where: San Francisco (USA)
Google Cloud Next is an annual conference that showcases Google Cloud Platform's (GCP) products, services, and solutions. It offers keynotes, breakout sessions, hands-on labs, and networking opportunities for developers, IT professionals, and business leaders interested in Google Cloud technologies.
When: September 21-22
Where: St. Louis (USA)
*This will be the LAST Strange Loop.
Strange Loop is a multi-disciplinary conference that explores diverse topics in programming languages, distributed systems, and emerging technologies. It features presentations, panel discussions, and workshops by leading experts in the field, aiming to inspire innovative thinking and collaboration.
Community Over Code (Previously ApacheCon)
When: October 7-10
Where: Halifax (Canada)
Also check out: https://events.apache.org/
Community Over Code is a conference that celebrates and showcases the open-source Apache projects. It brings together contributors, developers, and users of Apache software for collaborative discussions, presentations, and workshops. This year, Community Over Code will feature four days of sessions, with tracks focusing on Search, Big Data, Internet of Things, Community, Geospatial, Cassandra, Financial Tech, and many other topics.
Open Data Science Conference West
When: October 31 - November 3
Where: San Francisco (USA)
Also check out: https://odsc.com/
The Open Data Science Conference is a gathering of data scientists, researchers, and practitioners from around the world who are interested in using open data to solve real-world problems. The conference will feature keynote presentations, technical talks, workshops, and networking opportunities on a variety of topics, including. The ODSC has several regional offshoots, and you can choose to participate in an event most convenient for you.
Kubecon + CloudNativeCon North America
When: November 6-9
Where: Chicago (USA)
Also check out: https://events.linuxfoundation.org/
KubeCon + CloudNativeCon North America is a prominent conference that brings together the Kubernetes and cloud-native computing communities. The event offers keynotes, sessions, and workshops on containerisation, microservices, orchestration, and cloud-native technologies.
When: November 6-8
Where: Seattle (USA)
Flink Forward is a conference focused on Apache Flink, an open-source stream processing and batch processing framework. The event features presentations, use cases, and workshops on real-time data processing, stream analytics, and machine learning using Flink.
Big Data Conference Europe
When: November 21-24
Where: Vilnius (Lithuania)
Big Data Conference Europe is a prominent gathering focused on big data, data analytics, and data science. The conference brings together professionals and experts to discuss emerging trends, technologies, and use cases in the field of big data. It features presentations, workshops, and networking opportunities.
When: November 27-December 1
Where: Las Vegas (USA)
Also check out: AWS Innovate (Free, on-demand)
AWS re:Invent is Amazon Web Services' (AWS) largest annual conference, dedicated to cloud computing and Amazon's cloud services. The event offers keynote speeches, training sessions, hands-on labs, and networking opportunities for developers, architects, and IT professionals interested in AWS services and solutions.
When: February 21-29
Where: San Francisco (USA)
Also check out: DeveloperWeek Event Series
DeveloperWeek is a series of conferences focused on software development, programming languages, and developer tools. It features workshops, talks, and exhibitions that explore cutting-edge technologies, best practices, and innovation in the developer community.
Big Data World
When: March 6-7
Where: London (UK)
Also check out: Various smaller regional events
Big Data World is a global conference that showcases the latest advancements and trends in big data technologies and analytics. It brings together industry leaders, experts, and enthusiasts to discuss topics such as data management, AI, machine learning, and data security.
When: March 26-28
Where: Austin (USA)
Data Council is a conference series focused on data engineering, data science, and machine learning. It brings together practitioners, experts, and thought leaders to discuss data-centric topics, share best practices, and explore the latest innovations in data technologies. Speakers are leading data scientists and engineers from top organisations like Facebook, Netflix, Lyft, Salesforce, Stanford, WeWork, MIT & many more.
Where: Tentatively, Pittsburgh (USA)
Also check out: PyCon National Conferences
PyCon is an annual conference dedicated to the Python programming language. It brings together Python developers, enthusiasts, and community members for educational sessions, workshops, and networking. Attendees can learn about Python's latest developments, libraries, frameworks, and applications.
Factors considered while creating this list:
Reputation: Reputation of each conference within the data engineering community, including the quality of the speakers, the relevance of the topics, and the overall attendee experience.
Attendance: We considered the number of attendees at each conference, as well as the geographic distribution of attendees, to determine how widely recognised and influential each conference is.
Diversity of topics: The range of topics covered at each conference, including data engineering, big data, machine learning, and cloud computing, to ensure that each conference offers a broad perspective on the field of data engineering.
Industry partnerships: Partnerships and collaborations that each conference has established with leading technology companies, such as Amazon Web Services, Google Cloud, and Apache Software Foundation, to ensure that each conference is well-connected and up-to-date with the latest industry trends and innovations.
These are just a few of the many great data engineering conferences that are held each year. When choosing a conference to attend, it is important to consider your interests and needs. If you are interested in learning about the latest advances in a particular area of data engineering, then you should choose a conference that focuses on that area. If you are looking for a conference that will provide you with the opportunity to network with other professionals in the field, then you should choose a conference that is well-attended.
No matter what your reasons for attending a data engineering conference, you are sure to learn a lot and to make valuable connections. So, start planning your trip today!