The Future of the Modern Data Stack
Where we'll be next
All Events-
May 21, 2024
StrictlyVC – London
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Jun 11, 2024
StrictlyVC – Washington, D.C.
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Oct 28, 2024
TechCrunch Disrupt 2024
Online Event presented by
The last few years have been a watershed for the modern data stack. Even as it’s being rapidly adopted by data teams, innovation within it continues to accelerate. From the data warehouse to the data lake to the lakehouse, the rise of analytics engineering, and more, it’s clear that change is still afoot.
The modern data stack on the lakehouse has proven to dramatically simplify data architecture for enterprises to handle all their data, analytics and AI. It provides the freedom to create powerful data products built on open standards and across multiple clouds.
So what comes next?
Join a panel of co-founders and CEOs from Databricks, dbt Labs and Fivetran, the innovators of the modern data stack, as they discuss:
- Enabling more people and enterprises to benefit from the modern data stack on the lakehouse
- The impact of the modern data stack on the data strategies of the future and how we get there
- Implications of this future on how we work with analytics and AI
Explore the Data Stack of the Future
Innovation within the data stack continues to accelerate. From the data warehouse and data lake to the lakehouse and the rise of analytics engineering, it’s clear that change is still afoot. What are the implications of these trends? How is future technology likely to change the way we work with data and AI? Our panel explores.
Make Better Technology Decisions
For data teams looking to adopt best in class tooling, there is a lot of complexity to navigate. Join us to hear from data and analytics pioneers who know what it takes to transition to the technology of the future, and get the insight you need to help shape your data strategy for the next 10 years.
Unlock Business Value
Modern data tooling can help organizations create massive business value from their data. But what does it take to enable more people and more organizations to unlock more value through the modern data stack? Virtually join our panel of experts to find out.
About Databricks
Databricks is the data and AI company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems.
About dbt Labs
dbt Labs is on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 11,000 companies using dbt every week, 27,000 practitioners in the dbt Community Slack, and 2,000 companies paying for dbt Cloud.
About Fivetran
Fivetran, the global leader in modern data integration, powers high-volume data movement for the enterprise. Built for the cloud, our mission is to make access to data as simple and reliable as electricity. We enable data teams to effortlessly centralize and transform data from hundreds of SaaS and on-prem data sources into high-performance cloud destinations. Fast-moving startups and the world’s largest companies use Fivetran to accelerate modern analytics and operational efficiency, fueling data-driven business growth.
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