概要

DataWorks Summit Tokyo 2018                                                           国内最大級のビックデータ・ IoTデータ基盤のイベント   Ideas. Insights. Innovation.

Join us in Barcelona at the world’s premier big data event for everything data—DataWorks Summit! Attend track sessions, crash courses, or birds-of-a-feather sessions to learn about the latest developments in big data, AI, machine learning, cloud and more while networking with industry peers and pioneers to learn how to apply open source technology to make data work and accelerate your digital transformation.

講演者

Dr. Kerem Tomak brings more than 15 years of experience as a marketing scientist and executive. He comes from Sears Holdings where he was responsible for the digital marketing of the retail trade company as Chief Marketing and Analytics Officer. He studied mathematics, economics and information systems in Turkey and the USA. Dr. Tomak embarked on his professional career as an assistant professor at the University of Texas, Austin.

He has expertise in the areas of omnichannel and cross-device attribution, price and revenue optimization, assessing promotion effectiveness, yield optimization in digital marketing and real-time analytics. He has managed mid and large-size analytics and digital marketing teams in Fortune 500 companies and delivered large-scale analytics solutions for marketing and merchandising units. His out-of-the-box thinking and problem-solving skills led to 4 patent awards and numerous academic publications. He is also a sought-after speaker in Big Data and BI Platforms for Analytics.

アジェンダ

Agenda at a Glance

MONDAY, MARCH 18
8:30 AM - 5:00 PM
Pre-event Training
TUESDAY, MARCH 19
8:30 AM - 5:00 PM
Pre-event Training
6:00 PM – 8:30 PM
Meetups
WEDNESDAY, MARCH 20
8:00 AM - 6:00 PM
Registration
9:00 AM - 10:30 AM
Opening Keynote
10:30 AM – 4:00 PM
Community Showcase
11:00 AM – 3:30 PM
トラックセッション&クラッシュコース
4:00 PM – 5:30 PM
バーズ オブ ア フェザー
5:30 PM – 7:00 PM
Sponsor Reception
THURSDAY, MARCH 21
8:00 AM - 6:00 PM
Registration
9:00 AM - 10:30 AM
基調講演
10:30 AM – 4:00 PM
Community Showcase
11:00 AM – 5:30 PM
トラックセッション&クラッシュコース
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DataWorks Summit

セッション

セッション

    • AI・データサイエンス
    • Big Compute and Storage
    • Cloud, Big Data Architecture and Operations
    • データウェアハウジング・オペレーショナルデータストア
    • Governance and Security
    • IoT・ストリーミング分析
Artificial intelligence (AI) is transforming every industry. Data science and machine learning are opening new doors in process automation, predictive analytics, and decision optimization. This track offers sessions spanning the entire data science lifecycle: development, test, and production.

You’ll see examples of innovative analytics applications and systems for data visualization, statistics, machine learning, cognitive systems, and deep learning. We’ll show you how to use modern open source workbenches to develop, test, and evaluate advanced AI models before deploying them. You’ll hear from leading researchers, data scientists, analysts, and practitioners who are driving innovation in AI and data science.

Sample technologies: TensorFlow, Keras, Apache Spark, PyTorch, Apache MXNet, Theano, DL4J, R, scikit-learn, DSX, Apache Zeppelin
Apache Hadoop continues to drive data management innovation at a rapid pace. Hadoop 3.0 adds container management to YARN, an object store to HDFS, and more. This track presents these advances and describes projects in incubation and the industry initiatives driving innovation in and around the Hadoop platform.

You’ll learn about key projects like HDFS, YARN, and related technologies. You’ll interact with technical leads, committers, and experts who are driving the roadmaps, key features, and advanced technology research around what is coming next and the extended open source big compute and storage ecosystem.

Sample technologies: Apache Hadoop (YARN, HDFS, Ozone), Apache Kudu, Kubernetes, Apache BookKeeper
A hybrid, multi-cloud data architecture that optimizes information placement and processing between on-premises data centers and the cloud is critical to scale and flexibility. But it must also provide a global and integrated view of all your data with consistent operations, governance, and security.

This track provides the latest best practices on how to build modern data architectures. You’ll learn about key open source projects, including Apache Ambari, Cloudbreak, and related technologies and how they integrate with the latest cloud offerings to enable transformative changes. You’ll interact with technical leads, committers, and experts who are driving research, key features, and roadmaps in the extended open source big data architecture.

Sessions cover the full deployment lifecycle, how to set up and manage high-availability configurations, and how DevOps practices can help speed solutions into production. You’ll learn how to manage data across the edge, the data center, and the cloud. And you’ll hear cutting-edge best practices for large-scale deployments.

Sample technologies: Apache Ambari, Cloudbreak, DataPlane Service, AWS, Azure,GCP
Data engineers and architects use multiple engines to process data in the most appropriate way, from batch ETL, to interactive SQL, to low latency NoSQL. Sessions will cover the SQL engines and tools that help users to derive the most from their data on premises and in the cloud and enrich their enterprise data warehouse (EDW).

You’ll learn how NoSQL stores like Apache HBase are adding transactional capabilities that bring traditional operational data store (ODS) workloads to Hadoop and why data preparation is a key workload. You’ll meet Apache community rock stars and learn how these innovators are building the applications of the future.

Sample technologies: Apache Hive, Apache Tez, Apache ORC, Apache Druid, Apache HBase, Apache Phoenix
Your data lake contains a growing volume of diverse enterprise data, so a breach could be catastrophic. Privacy violations and regulatory infractions can damage your corporate image and long-term shareholder value. Government and industry regulations demand you properly secure and govern your data to assure compliance and mitigate risks. But as Hadoop and streaming applications emerge as a critical foundation of a modern data architecture, enterprises face new requirements for protection and governance.

In this track, you’ll learn about the key enterprise requirements for governance and security of the extended data plane. You’ll hear best practices, tips, tricks, and war stories on how to secure and govern your big data infrastructure.

Sample technologies: Apache Ranger, Apache Sentry, Apache Atlas, and Apache Knox
The rapid proliferation of sensors and connected devices is fueling an explosion of data. Streaming data allows algorithms to dynamically adapt to new patterns in data, which is critical in applications like fraud detection and stock price prediction. Deploying real-time machine learning models in data streams enables insights and interactions not previously possible.

In this track you’ll learn how to apply machine learning to capture perishable insights from streaming data sources and how to interface with devices at the “jagged edge.” Sessions present new strategies and best practices for real-time data ingestion and analysis. Presenters will show how to use these technologies to develop IoT solutions and how to combine historical with streaming data to build dynamic, real-time predictive systems for actionable insights.

Sample technologies: Apache Nifi, Apache Storm, Streams Messaging Manager, Streaming Analytics Manager, Apache Flink, Apache Spark Streaming, Apache Beam, Apache Pulsar and Apache Kafka
Packages & Passes

Packages & Passes

Conference Pass
Early Bird
Nov 1 - Dec 31, 2018
Alumni
Thru March 18, 2019
Standard
Thru March 17, 2019
On-Site
全て閲覧
Access to DataWorks Summit keynotes, breakouts, meals and events, including crash courses, community showcase, and the sponsor reception.

Pre-event training is not included.
€750
€450
€900
€975
Day Pass
Single day access to keynotes, breakouts, lunch and other DataWorks Summit events.

Pre-event training is not included.
該当なし
該当なし
€475
€475
Pre-event Training
Pre-event training includes:

- 2 days of live training at summit
- 2 months subscription to SPLL ($415 value)
- 1 performance-based exam voucher, must be used within 3 months ($250 value)

Student must attend summit training to receive the free SPLL and exam voucher. No cancellations or refunds after purchase.
該当なし
該当なし
€1,800
該当なし
 
Package
Full Conference*
Day Pass**
Pre-event Training***
 
Early Bird
Nov 1 - Dec 31, 2018
€750
該当なし
該当なし
Alumni
Thru March 18, 2019
€450
該当なし
該当なし
Standard
Thru March 17, 2019
€900
€475
€1,800
On-Site
€975
€475
該当なし
*Access to DataWorks Summit keynotes, breakouts, meals and events, including crash courses, community showcase, and the sponsor reception.

Pre-event training is not included.
**Single day access to keynotes, breakouts, lunch and other DataWorks Summit events.

Pre-event training is not included.
***Pre-event training includes:

- 2 days of live training at summit
- 2 months subscription to SPLL ($415 value)
- 1 performance-based exam voucher, must be used within 3 months ($250 value)

Student must attend summit training to receive the free SPLL and exam voucher. No cancellations or refunds after purchase.
Barcelona Cancellation & Substitution Policy

All cancellation requests must be submitted in writing to the DataWorks Summit Registration Team at dataworkssummit@hortonworksevents.com. If a cancellation is received on or before Friday, February 22, 2019 (5:00pm PDT), your registration fee will be refunded, less a €100 processing fee. After this date, cancellation requests will be processed without a refund.

会場とアクセス

会場とアクセス

ロケーションアイコン
Centre de Convencions Internacional de Barcelona (CCIB)

Centre de Convencions Internacional de Barcelona, Plaça de Willy Brandt, Barcelona, Spain

+34 932 30 10 00

イベント会場のウェブサイトはこちら

Centre de Convencions Internacional de Barcelona (CCIB)

Centre de Convencions Internacional de Barcelona, Plaça de Willy Brandt, Barcelona, Spain

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