数据自动化峰会

数据自动化峰会

The Largest Event Bringing Together Leaders and Practitioners in Today's Fastest Growing Data Technology

从2022年峰会看更多

关于数据自动化峰会

With 95% of data teams either at or over capacity, data automation technologies are quickly moving to the forefront of empowering data engineering and 分析工程师 to take control of their data. In fact, a 2022 survey found data data automation adoption is slated to skyrocket from 3.5% to 85.在未来12个月内获得5%.

数据自动化峰会是免费的, virtual event that brings together data and analytics engineering leaders and practitioners to discuss the data automation challenges, 案例研究, 最佳实践, 和更多的 that are pushing their data teams—and businesses—forward.

2022年可能结束了
But Check Back Here for 2023 Information!

What Can You Expect from the 数据自动化峰会?

The breadth of capabilities data teams need to automate is virtually endless. 数据自动化峰会 will accelerate the automation conversation among data professionals and walk through how some of today’s most innovative companies are using this powerful technology to create highly sophisticated data platforms and products.

过去的演讲者包括:

巴尔摩西

联合创始人 & 首席执行官,蒙特卡罗

本Tallman

首席技术官,M科学

塞勒斯Facciano

主任,X是Y

戴特兰

Sr. 经理,分析 & 策略,Skydio

DJ帕蒂尔

前美国首席数据科学家

Dr. Ratneesh苏瑞

Head of Data and 分析, Ports of Auckland

乔治•阿达米

分析服务经理,Moviri

Haejun李

科莫多健康中心的数据工程师

虹膜豪泽

数据科学中心 & 美电子的云管理

雅各布·利维

Entisys360首席数据架构师

詹姆斯•坎贝尔

CTO, Superconductive (Great Expectations)

Jared Noynaert

Director of 分析 at Crane Worldwide Logistics

木星旷

Principal 解决方案 Engineer, Imply Data Inc.

Manan高尔

w88平台 Go-To-Market Leader, 亚马逊网络服务

马特·多卡

SumUp的《w88平台》首席技术官

米格尔·阿尔瓦拉多

首席技术官,Mindstrong

南丹Tammineedi

科技领先,提升.io

保罗迪沙佛

Kipsu商务智能经理

Pietro Guardati

数据工程师,Kpler

莎乐美Serieys

高级顾问,X就是Y

肖恩·克纳普

公司创始人兼首席执行官.io

沙市蕾娜

Senior Partner Solution Architect, 亚马逊网络服务

肖恩Azman

维多拉客户运营主管

汤姆·科兹洛夫斯基

VP Decision Science and 分析, HNI集团.

汤姆周

公司首席商务官.io

托尼Dahlager

Managing Director - Data Management, 分析8

Upendra Chitnis

科摩多健康公司高级数据工程师

万带兰柯林斯

日立铁路檀香山项目经理

扎克米切尔

Sr. 大数据架构师,亚马逊网络服务

提交一个谈话

你有很棒的案例研究吗, best practice or story to tell regarding automation and your data and analytics engineering workloads?

The call for papers will open in the Fall of 2022!
参与
With a wide range of data team members—data engineers, 分析工程师, 数据架构师, 首席数据官, 和更多的—in a variety of discussions around real-life use cases, 战术和有形的最佳实践, 和生活问&As.
发现
How today’s most data-forward companies are leveraging automation to increase productivity for analytics and data engineering teams, 加快数据管道开发, 管理, 和编制, and how that is impacting the 交付 of data products and services across the enterprise.

赞助商

数据自动化峰会 sponsorships provide a variety of branding, 铅一代, 说话的机会, 和更多的. 
Thank you again to our sponsors from 2022!
If you are interested in sponsoring 数据自动化峰会 2023, please w88平台的赞助团队. 赞助商hip sales will open up in the Fall of 2022.
 

提供赞助

提升.io, the Data Automation Cloud named a 2021 Gartner Cool Vendor, provides the most advanced automation for data and analytics engineering workloads. 提升 unifies data engineering’s core capabilities—ingestion, 转换, 交付, 编制, and observability—into a single platform so teams deliver 10x faster. Engineering productivity is a top priority, and with 提升’s DataAware™ intelligence, data teams no longer spend hours orchestrating brittle data workloads and instead rely on advanced automation to optimize the entire data lifecycle.

白金赞助商

From Airbnb to Zocdoc, the world’s top startups build on AWS. 但他们并不是单独行动的. So whether you’re looking for help solving a technical challenge, 聘用合适的工程师, 或者完成一轮融资, we have all the resources you need to get started. There’s a reason more startups build on AWS than any other provider: we’re here to help you succeed, 从成立到上市.

银赞助商

分析8 is a data and analytics consultancy. We help companies translate their data into meaningful and actionable information so they can stay ahead in a rapidly changing world. 从数据策略到实施, w88平台设计, 开发, and deploy modern data and analytics solutions to enable our clients to transform and grow their business.

Moviri 顾问和工程师使用数据, software and insights to solve substantial business challenges for Fortune 500 corporations, 跨国银行, media conglomerates and some of the most respected global brands in a variety of industries.

Interested in learning more about the 数据自动化峰会?