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URL: https://databricks.com/sparkaisummit/north-america-2020
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MarketoThis cookie is used to distinguish between humans and bots. This is
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function.PersistentHTMLcmtt_last_letterDatabricks.comFunctionality cookie
helping with the navigation of the glossary
module.SessionHTMLoribi_cookie_testGoogle Tag ManagerThis cookie determines
whether the browser accepts cookies.SessionHTTPRTs.go-mpulse.netThis cookie is
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humans and bots. SessionHTML__cfduidDatabricks.comUsed by the content network,
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daysHTTPBIGipServer# [x2]Databricks.com
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optimise response times.SessionHTTPlanguageLinkedInSaves the user's preferred
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the website to remember choices you make (such as your user name, language or
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user.PersistentHTMLlocaleDropboxThe cookie determines the preferred language and
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relevant to that region and language.5 yearsHTTPVISITOR_INFO1_LIVEYouTubeTries
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Statistic cookies help website owners to understand how visitors interact with
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registered twice.PersistentHTMLapc_local_idAppcuesUsed in context with the
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Google Tag ManagerThis cookie is used to identify the frequency of visits and
how long the visitor is on the website. The cookie is also used to determine how
many and which subpages the visitor visits on a website – this information can
be used by the website to optimize the domain and its
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the visitor does not get registered twice.PersistentHTML_gat [x3]Google Tag
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website. 14 daysHTTPvuidVimeoCollects data on the user's visits to the website,
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Marketing cookies are used to track visitors across websites. The intention is
to display ads that are relevant and engaging for the individual user and
thereby more valuable for publishers and third party advertisers.

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advertisement more efficient.
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preferences and behaviour on the website - This information is used make content
and advertisement more relevant to the specific visitor.
PersistentHTMLajs_user_traitsDatabricks.comCollects data on visitors. This
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advertisement more efficient. PersistentHTML__tld__Databricks.comUsed to track
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used to assign visitors into segments, making website advertisement more
efficient. 1 yearHTTPhttps://cx.atdmt.com/FacebookSets a unique ID for the
visitor, that allows third party advertisers to target the visitor with relevant
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products.PersistentHTML_fbpconnect.facebook.netUsed by Facebook to deliver a
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the visitor is returning and has visited the website before.11
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the visitor is visiting the website for the first time.1
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website more relevant. SessionPixelbcookie [x2]LinkedInUsed by the social
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order to present relevant advertisement based on the visitor's preferences. 29
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visitors across websites. The intention is to display ads that are relevant and
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third party advertisers.PersistentHTMLi/jotTwitterSets a unique ID for the
visitor, that allows third party advertisers to target the visitor with relevant
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behavior. It tracks the visitor across devices and marketing
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the relevance of advertisement.3 monthsHTTPATNFacebookTargets ads based on
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TUNE IN JUNE 22 - 26
THE VIRTUAL EVENT FOR DATA TEAMS
FREE GENERAL ADMISSION
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DATA TEAMS UNITE!

There’s never been a more important moment for data teams. Together, we can
solve the world’s toughest problems — and it starts with Spark + AI Summit.
We’ve transformed this year’s Summit into a global event — totally virtual and
open to everyone, free of charge. And Summit is now even bigger: extended to
five days with 200+ sessions, 4x the training, and keynotes by visionaries and
thought leaders. Join tens of thousands of engineers, scientists, developers,
analysts and leaders as we shape the future of big data, analytics and AI.

 


SPARK + AI SUMMIT 2020 KEYNOTE SPEAKERS

NATE SILVER

Founder, FiveThirtyEight.com



PROF. JENNIFER CHAYES

Associate Provost of Data Science



ADAM PASZKE

Maintainer of PyTorch



FRANÇOIS CHOLLET

Creator of Keras



KIM HAZELWOOD

West Coast Head of Engineering of FAIR



PROF. HANY FARID

Digital Forensics Pioneer



ALI GHODSI

Co-founder & CEO
Original Creator of Apache Spark™



MATEI ZAHARIA

Co-founder & Chief Technologist, Databricks
Original Creator of Apache Spark™ & MLflow



REYNOLD XIN

Co-founder & Chief Architect, Databricks
Top Contributor & Original Creator of Apache Spark™



 


TRAINING & CERTIFICATION


ABOUT:

Spark + AI Summit 2020 training begins on June 22-23, with an expanded
curriculum of half-day and all-day classes. These training classes will include
both lecture and hands-on exercises. Apache Spark™ 2.x certification is also
offered as an exam, with an optional half-day prep course.


CERTIFICATION:

 * Half-day Prep course + Apache Spark 2.x Certification Exam
 * Databricks Certification Exams


TRAINING:

 * Find out what lies ahead for popular open-source projects – Apache Spark™,
   Delta Lake, MLflow and Koalas
 * Learn real-world Artificial Intelligence use cases from leading companies
 * Discover best practices for building, deploying and productionizing ML models
 * Learn about the latest deep-learning frameworks and Apache Spark Integrations
 * Hear how to improve performance and memory optimization from Spark committers
 * Learn how to leverage Structured Streaming in your ETL and real-time
   analytics
 * Get insight into how Data and AI together are unified to innovate business

Learn More



CONFERENCE PASS

CONFERENCE PASS
PRICING
GeneralAccess to sessions, keynotes, and virtual events. Pre-conference training
not included.
FREE
VIPAccess to sessions, keynotes, virtual events + exclusive perks such as AMA
(Ask Me Anything) sessions, 1:1 access to committers and more. Pre-conference
training not included. Limited availability
$99

Training Pass
Training courses are sold separately. Training-only passes are available.

Half-Day Courses

$200

Full-Day Courses
These full-day courses will be broken into 2 half-day classes. Details on
courses will be sent to you directly.

$400

Group Pricing
Groups of 4 or more get 20% off. Please contact registration@spark-summit.org
for more information.

$160 / $320
Certification


Half-Day Prep Course + Apache Spark™ Certification Exam

$200

Apache Spark™ Certification Exam

$200

CONFERENCE PASS
GeneralAccess to sessions, keynotes, and virtual events. Pre-conference training
not included.
PRICING
FREE
VIPAccess to sessions, keynotes, virtual events + exclusive perks such as AMA
(Ask Me Anything) sessions, 1:1 access to committers and more. Pre-conference
training not included. Limited availability
PRICING
$99


Training Pass
Training courses are sold separately. Training-only passes are available.

Half-Day Courses

PRICING
$200

Full-Day Courses
These full-day courses will be broken into 2 half-day classes. Details on
courses will be sent to you directly.

PRICING
$400

Group Pricing
Groups of 4 or more get 20% off. Please contact registration@spark-summit.org
for more information.

PRICING
$160 / $320
Certification


Half-Day Prep Course + Apache Spark™ Certification Exam

PRICING
$200

Apache Spark™ Certification Exam

PRICING
$200
PRICING
REGISTER TODAY

VENUE


MOSCONE WEST CONVENTION CENTER

Conveniently located in the South of Market area, Moscone West provides easy
access to downtown San Francisco’s many hotels and restaurants — providing
opportunity to enjoy the city after the sessions close. Take advantage of easy
transportation via BART, MUNI and CalTrain.

LEARN MORE + SEE HOTEL AND AIRFARE, CAR RENTAL DEALS

Apache Spark™ is a powerful open-source processing engine built around speed,
ease of use, and sophisticated analytics. Spark began at UC Berkeley in 2009,
and it is now developed at the vendor-independent Apache Software Foundation.
Since its initial release, Spark has seen rapid adoption by enterprises across
wide-ranging industries. Internet powerhouses such as Facebook, Hotels.com,
Cisco, Microsoft, and Netflix have deployed Spark at massive scale, processing
multiple petabytes of data on clusters of more than 8,000 nodes. Apache Spark™
has also become the largest open-source community in big data, with more than
1,000 contributors from over 250 organizations. Learn more


WHY ATTEND SPARK + AI SUMMIT?


REASONS TO ATTEND

 * Discover real-world use cases for AI
 * Learn how to build reliable and fast data lakes with Delta Lake and Apache
   Spark
 * Stay abreast with best practices for productionizing machine learning
   lifecycles
 * Learn about the latest deep learning frameworks and Apache Spark Integration
 * Find out what lies ahead for the open source Spark project
 * Hear how to improve performance and memory optimization from Spark committers
 * Learn how to leverage Structured Streaming in your ETL and real-time
   analytics
 * Get tips and tools to process big data more quickly and efficiently from
   leading data scientists and researchers
 * See how leading companies successfully deploy Apache Spark at scale
 * Find out how real-world AI use cases are innovating business products
 * Get insight into how data and AI together are unified to innovate business
 * Learn how Spark is employed in a variety of enterprise applications
 * Hear how other enterprise Spark users solve business problems


WHO WILL ATTEND

Apache Spark™ Developers
Data and ML Engineers
Data Scientists
Infrastructure / Site Reliability Engineers
Researchers
Data Practitioners
Key Decision Makers
Business Executives
 


THE WORLD'S LARGEST GATHERING OF DATA TEAMS FOR THE APACHE SPARK COMMUNITY


SPARK + AI SUMMIT 2020

Data and AI need to be unified. But the best AI applications require massive
amounts of constantly updated training data to build state-of-the-art models.
Apache Spark™ is the only unified analytics engine that combines large-scale
data processing with state-of-the-art machine learning and AI algorithms.

Combining Spark + AI topics, this five-day virtual conference delivers a
one-stop shop for developers, data scientists and tech executives seeking to
apply the best tools in data and AI to build innovative products. Join tens of
thousands of engineers, data scientists, AI experts, researchers and business
professionals for five days of in-depth learning and networking.

Sessions and training will cover data engineering and data science content,
along with best practices for productionizing AI — keeping training data fresh
with stream processing, quality monitoring, testing, and serving models at a
massive scale. The conference will also include deep-dive sessions on popular
software frameworks like Delta Lake, MLflow, TensorFlow, SciKit-Learn, Keras,
PyTorch, DeepLearning4J, BigDL and deep learning pipelines.

 


LEARN ABOUT:

 * What’s coming next in Apache Spark™, Delta Lake, MLflow, and Koalas
 * Best practices for managing the machine learning lifecycle
 * Tips for building reliable data pipelines at scale
 * Latest developments in popular deep learning and machine learning frameworks
 * Practical, real-world use cases for AI


TRACKS – PERSONALIZE YOUR EXPERIENCE:

 * AI
 * Data Science
 * Deep Learning Techniques
 * Productionizing ML
 * Developer
 * Enterprise
 * Python & Advanced Analytics
 * Research
 * Technical Deep Dives
 * Apache Spark™ Use Cases & Ecosystem




 * Video Archive
 * Event Policy
 * About Spark + AI Summit
 * Terms of Use

Looking for a talk from a past event? Check the Video Archive




Organized by Databricks
If you have questions, or would like information on sponsoring a Spark + AI
Summit, please contact organizers@spark-summit.org.

Apache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache
Software Foundation. The Apache Software Foundation has no affiliation with and
does not endorse the materials provided at this event.