Join us in Barcelona at the world’s premier big data event! Don’t miss this chance to hear about the latest developments in AI, machine learning, IoT, cloud, and more in over 70 track sessions, crash courses, and birds-of-a-feather sessions. Plus, network with industry peers and pioneers and get answers to your top questions while learning how to apply open source technology to accelerate your digital transformation initiatives. Register today!
最高技術責任者（CTO）であるスコットは、Hortonworks の全体の技術的なビジョンを担当し、同社のエンジニアリング、製品管理およびサポート組織を統括しています。スコットは、キャリアの全体をデータ業界で過ごしてきました。直近では Teradata Labs の社長として、Teradata の統合データウェアハウス、ビッグデータ分析、関連ソリューションに関連する研究、開発、販売支援活動に対して、先見性のある方向性を打ち出してきました。また、Teradata Labs のソリューションに関連する Teradata の技術への投資と買収を実行しました。スコットは、Drexel University にて電気工学士号を取得しています。
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.
Since March 2017, Peter Weckesser serves as Airbus Defence and Space´s Digital Transformation Officer. He joined Airbus from Siemens, where he has been the COO of Product Lifecycle Management, leading the Siemens IoT and Digital Enterprise business and activities. Prior to this, he held various executive-level positions at Siemens, being CEO of Industry Services and CEO of Value Service Business Unit, as well as Vice-President of “Human Machine Interface”.
Peter Weckesser holds a degree in Physics and a PhD degree in Computer Science, both from the University of Karlsruhe (Germany), although he also spent a year studying at the Armstrong State University in the USA as part of his education in Informatics.
Szilard studied Physics in the 90s and obtained a PhD by using statistical methods to analyze the risk of financial portfolios. He worked in finance, then more than a decade ago moved to become the Chief Scientist of a tech company in Santa Monica, California doing everything data (analysis, modeling, data visualization, machine learning, data infrastructure etc). He is the founder/organizer of several meetups in the Los Angeles area (R, data science etc) and the data science community website datascience.la. He is the author of a well-known machine learning benchmark on github (1000+ stars), a frequent speaker at conferences (keynote/invited at KDD, R-finance, Crunch, eRum and contributed at useR!, PAW, EARL etc.), and he has developed and taught graduate data science and machine learning courses as a visiting professor at two universities (UCLA in California and CEU in Europe).
I am an employee of T-Mobile Austria (TMA), working as a data scientist for both commercial and network related use cases. I have profound experience of designing and implementing both analytical and machine learning algorithms in Apache Hadoop ecosystem.
My interest in data modeling started six years ago when I got the chance to work on experimental data during pursuit of my PhD degree. Unlike structural modeling where the true nature of the data generating process can be modeled in close form, majority of the processes in real world are too complex to be understood in their entirety. Consequently, I gained expertise in several discriminative models, such as dynamic stochastic models, time-series analysis and the state-space modeling.
From the beginning of my career as a data scientist at TMA, I have made adequate use of machine learning and applied research in market science and mobile network, which led to several data science projects with attribution to high business value. Since industry demands the end-to-end working solution but not just a prototype model, so I have mastered several programming languages and have served as the data engineer for most of my use-cases as well.
A brief list of my prowess and skills along with the projects and publications can be found on my linkedIn profile at: https://www.linkedin.com/in/wasifmasood/
Holden is a transgender Canadian open source developer advocate @ Google with a focus on Apache Spark, BEAM, and related "big data" tools. She is the co-author of Learning Spark, High Performance Spark, and another Spark book that's a bit more out of date. She is a commiter on and PMC on Apache Spark and committer on SystemML & Mahout projects. She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal.
Suneel is a Member of Apache Software Foundation and is a Committer and PMC on Apache Mahout, Apache OpenNLP, Apache Streams. He's presented in the past at Flink Forward, Hadoop Summit, Berlin Buzzwords, Machine Learning Conference, Big Data Tech Warsaw and Apache Big Data.
Product Management lead at Uber with a focus on Data Platforms and Infra. I manage Uber's Storage, Analytics, BI, and Machine Learning product lines.
現在、Banco Santanderで企業投資銀行業務のイノベーションとアーキテクチャとして取り組んでいます。Santanderグループに勤務して13年になります。以前は、IDG Communications SpainにてITマネージャーとして5年間勤務しました。私の主な役割はグループのウェブ戦略の開発と改善でした。また、PC World、Computerworld、Macworldなどの出版物に20以上の記事を投稿しています。
Universidad Ponitifica de Salamancaにてコンピュータの学位を取得しています。
Uwe Weber is working since almost 20 years in the IT environment and became a Big Data Engineer at Telefónica in 2014. He initially set up Telefónica’s Hadoop environment and infrastructure and supports business departments to utilize the “new world”.
Owen O'Malley is a co-founder and technical fellow at Hortonworks, a rapidly growing company (25 to 1,000 employees in 5 years), which develops the completely open source Hortonworks Data Platform (HDP). HDP includes Hadoop and the large ecosystem of big data tools that enterprises need for their data analytics. Owen has been working on Hadoop since the beginning of 2006 at Yahoo, was the first committer added to the project, and used Hadoop to set the Gray sort benchmark in 2008 and 2009. In the last 8 years, he has been the architect of MapReduce, Security, and now Hive. Recently he has been driving the development of the ORC file format and adding ACID transactions to Hive. Before working on Hadoop, he worked on Yahoo Search's WebMap project, which was the original motivation for Yahoo to work on Hadoop. Prior to Yahoo, he wandered between testing (UCI), static analysis (Reasoning), configuration management (Sun), and software model checking (NASA). He received his PhD in Software Engineering from University of California, Irvine.
Jay is a final year student at King’s College London studying Computer Science. She joined Hotels.com in the Big Data Platform team for her industrial placement year where she spent time working with Apache Hive, modularization techniques for SQL, and mutation testing tools.
Solution Architect with more than 15 years experience in DWH and BI and last years also Big Data environments.
Designed many data warehouses including a Customer Intelligence System, Marketing Data Warehouse, Enterprise Data Warehouse and Basel II data warehouse. Currently responsible for the architecture of Data Lake, Data Factory and Data Lab based on Cloudera and HortonWorks technology.
With more than fifteen years of experience in Java technologies, Monica is currently responsible for defining Big Data architectures for Engineering’s Big Data and Analytics Center of Excellence. She deals mainly with leading the Group in the development of projects and POCs, offering consulting services to clients and assisting the pre-sales phase by bringing in the contribution on Big Data technologies. She runs internal courses and for clients and also carries out activities to support the dissemination of Engineering’s expertise in this context, both nationally and internationally.
Christopher Crosbie has over fifteen years of experience developing and deploying data technology in enterprise environments. He is currently on the Cloud Partner Engineering team at Google where he serves a trusted advisor to software vendors that build Data, Analytics and ML solutions on the Google Cloud platform.
Previous to joining Google, Chris was a development manager at Amazon and before that he headed up the data science team at Memorial Sloan Kettering Cancer Center where he implemented the enterprise Hortonworks architecture and strategy. Chris started his career as a biostatistics application engineer at the NSABP, a not-for-profit clinical trials cooperative group supported by the National Cancer Institute. He holds an MPH in Biostatistics and an MS in Information Science.
Shauna Davis has worked in the IT industry for 14+ years and has held various positions throughout application and big data development. She's most recently leading the Big Data Development Team at Trac Intermodal as the Technical Manager of Big Data Architecture.
Vladimir Kroz is an architect at Search group in WalmartLabs, where he is building next generation of e-commerce search for walmart.com. Vladimir works on large scale low latency search, big data and machine learning systems, and has acute passion in large scale computing and AI. Prior to Walmart he has led engineering teams at number of Fortune 500 international companies in e-commerce and telecom field. He also co-founded real-time data integration company Wisdomforce. Vladimir holds Master’s degree in Computer Information Systems and Electrical Engineering.
Dor has over a decade of experience developing big data products for security industries, financial markets and banking industries. His research on metric learning and cost-sensitive learning has earned him publications in NIPS, AISTATS and a monetary prize in Cha-Learn competitions. As a senior data scientist at ING Bank, he is involved with multiple projects modelling consumer and market behavior, optimizing business and IT processes and contributing to the data science way-of-working, rapid exploration and continuous delivery processes.
I am currently a Big Data Delivery Lead at Optum (UnitedHealth Group) and based in Dublin (Ireland). Me and my teams deal with projects in the PI (fraud, waste and abuse, claims processing) and the healthcare space. I worked previously at IBM Ireland, where I switched my career path from Test Automation to Analytics and Machine Learning.
I am passionate about coding, Big Data, AI/ML/DL, test automation, Open Source, DevOps and cooking (home made pizza is my speciality).
I share my tech thoughts through my blog (http://googlielmo.blogspot.ie/) and DZone (https://dzone.com/users/2532948/virtualramblas.html) where I am a Golden Member.
During 2018 I have presentend to several international conferences such as DataWorks Summit Berlin, Google I/O Extended, Predictive Analytics World for Industry 4.0 and many others.
My first book "Hands-on Deep Learning with Apache Spark" (https://tinyurl.com/y7d98s64) is going to be released in December 2018.
Yakir Buskilla is a Director of Big Data at the Nielsen Marketing Cloud. His fields of interest are Big Data solutions and large scale machine learning.
Yakir Buskilla is a Director of Big Data at the Nielsen Marketing Cloud. His fields of interest are Big Data solutions and large scale machine learning.
All cancellation requests must be submitted in writing to the DataWorks Summit Registration Team at firstname.lastname@example.org. 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.
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Centre de Convencions Internacional de Barcelona, Plaça de Willy Brandt, Barcelona, Spain
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Hortonworks はエンタープライズ仕様のオープンデータプラットフォームを作成、配布、サポートするリーディングイノベーターです。私たちのミッションは、世界のデータを管理することです。Apache Hadoop、NiFi、Spark など、オープンソースコミュニティのイノベーションの推進にひたむきに取り組んでいます。弊社のConnected Data Platformは、すべてのデータ（移動中のデータおよび保存されたデータ）から得る実用的なインテリジェンスを提供するモダンデータアーキテクチャに、力を与えます。1600 以上のパートナーと共に、弊社は専門知識と、トレーニングやサービスを提供し、あらゆる業界のお客様の、データ変換による新たな価値創造を支援します。弊社はデータの未来と可能性を広げます。詳細はこちら
Teradataは、企業がアナリティクスを通して影響力の強い事業成果を達成するための力を与えます。業界専門知識とデータウェアハウスおよびビッグデータ アナリティクスの最先端のハイブリッド クラウド テクノロジーの強力な組み合わせで、Teradataは企業の偉大な可能性を引き出します。Teradataは世界中の一流企業とパートナーを組み、顧客経験の改善、リスク軽減、商品イノベーションの推進、オペレーショナル エクセレンス、財政改革、資産最適化に役立ちます。Teradataは技術革新、持続性、倫理、事業価値の将来的な視点を備えた企業としてメディアおよび業界のアナリストから評価されています。詳細はこちら
Headquartered in Cork, Ireland, Bluemetrix has been at the forefront of Data Processing and Analytics since establishing its business in Japan in 2001 and continues to invest in highly skilled and multi-disciplinary talent and technology to enhance its capabilities to provide customised data processing and consultancy services to existing and new customers around the globe.
Having developed and operated data analytics systems for 15 years, Bluemetrix brings the rigor, best practices and infrastructure know-how to deliver Big Data analytics systems to the enterprise.
Bluemetrix has been working with Hadoop since 2009, providing Big Data insights and real-time reporting to clients. Bluemetrix provide their clients with a complete view of their customers’ activity and work with them to incorporate and utilize this data view in a dynamic business model to increase revenue, increase customer satisfaction and optimize resources.
Bluemetrix core clients come from the Telecom, Media, Consumer Goods, Finance and Retail sectors.
The special fascination of the BMW Group not only lies in its products and technology, but also in the company’s history, written by inventors, pioneers and brilliant designers. Today, the BMW Group, with its 31 production and assembly facilities in 14 countries as well as a global sales network, is the world’s leading manufacturer of premium automobiles and motorcycles, and provider of premium financial and mobility services.
We have been working on highly-automated driving for many years. We began our research activities back in early 2000. Since then, our engineers have clocked up more than 25,000 highly-automated kilometers in trials.
Attunity, voted Hortonworks ISV Partner of the Year, provides modern data integration software with change data capture technology, that efficiently delivers data in real-time and with no manual coding. Attunity software, serving half of the Fortune 100, non-disruptively replicates data from production sources such as Oracle, mainframe and SAP across database/data warehouse, data lake, streaming and cloud architectures. Attunity also accelerates data lake pipelines by automating the creation, updates and provisioning of analytics-ready data.
Talend is a leader in cloud and big data integration software that helps companies make data a strategic asset that provides the data agility required for companies to rapidly adopt the latest technology innovations and scale to meet the constantly evolving demands of modern business.詳細はこちら
WANdisco is shaping the future of data infrastructure with our ground-breaking LIVE DATA Platform, enabling companies to put all their data to work for the business – all the time, at any scale. We make data always available, accurate and protected across environments, supporting exponential data growth within the same budget.詳細はこちら
*um is the leading full service provider for ambitious digital projects. The specialist for Big Data (Data Science and Data Engineering) and Cloud Services develops precise solutions for individual entrepreneurial challenges and delivers impact to the most renowned brands in automotive, retail, e-commerce, online services, media and many more industries. As a member of Basefarm Group, *um offers high-quality local services with a global Europe-based infrastructure.
Arcadia Data provides the first native visual analytics software running within modern data platforms for the scale, performance, and security users need to glean real-time business insights in the era of big data and IoT. Arcadia Enterprise is purpose-built to analyze large volumes of data without moving it, filling the gap between self-service BI and advanced analytics. Arcadia Enterprise is deployed by some of the world’s leading brands, including Procter & Gamble, HPE, RBC, Kaiser, and Neustar.詳細はこちら
Alation’s enterprise collaborative data platform empowers employees inside of data-driven enterprises to find, understand, and use the right data for better, faster business decisions. Alation combines the power of machine learning with human insight to automatically capture information about what the data describes, where the data comes from, who’s using it and how it’s used.詳細はこちら
SynerScope has developed a patented (eco)system for combining and analyzing all kinds of data: numerical, text, video/voice, IoT, structured and unstructured, real time and historical. For large to massive data sets. The first one able to easily match several kinds of data and thus creating valuable decisive information.詳細はこちら
Nutanix Enterprise Cloud combines the agility and simplicity of the public cloud, with the security and control you need in a private cloud. Built on the industry’s leading hyperconverged infrastructure (HCI) technology, it integrates compute, storage, virtualization and networking in a full-stack solution that runs nearly any application詳細はこちら
SVA System Vertrieb Alexander GmbH is one of the leading system integrators in Germany in the fields of DataCenter Infrastructure. The company – founded in 1997 and based in Wiesbaden/Germany – by now has more than 820 employees at 16 branch offices all over Germany.詳細はこちら
CIOReview.com is a leading print magazine resource that bridges the gap between enterprise IT vendors & buyers. This site offers a range of in-depth CIO/CXO articles, whitepapers, latest Enterprise Technology News to help CIOs & IT leaders make the right decisions.詳細はこちら
TechTarget offers data-driven marketing services to business-to-business technology vendors. It uses purchase intent data gleaned from the readership of its 140 + technology focused web sites to help tech vendors reach buyers actively researching relevant IT products and services.詳細はこちら
For over 20 years, TDWI has been helping data leaders and their teams gain the information and skills they need to build effective analytics and data management programs.詳細はこちら
The Cube was born out of necessity to provide people with a free platform to broadcast, share, and save live events on any device.詳細はこちら