DataWorks Summit: Ideas. Insights. Innovation.
Join us in Washington D.C. 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!
Featured Speakers
Dr. Alex Xiaoyang Yang is the CTO and Chief Architect of IBM China Development Laboratory.
He has extensive experience with big data analytics in FSS, Transportation, and Telecom.
Kamil is a technology leader in the large scale data warehousing and analytics space. He is CTO of Starburst, the enterprise Presto company. Prior to co-founding Starburst, Kamil was the Chief Architect at the Teradata Center for Hadoop in Boston, focusing on the open source SQL engine Presto. Previously, he was the co-founder and chief software architect of Hadapt, the first SQL-on-Hadoop company, acquired by Teradata in 2014.
Kamil began his journey with Hadoop and modern MPP SQL architectures about 10 years ago during a doctoral program at Yale University where he co-invented HadoopDB, the original foundation of Hadapt’s technology.
Kamil holds an M.S. in Computer Science from Wroclaw University of Technology and as well as M.S. and an M.Phil. in Computer Science from Yale University.
Pradeep is a Big Data Engineer at Hotels.com in London where he builds and manages cloud infrastructure and core services like Apiary. Pradeep has worked in the big data space for the last 7 years, building large scale platforms.
Paul Boal is a nationally renowned speaker, educator and expert on healthcare information management and analytics solutions. Currently serving as the Vice President of Delivery at Amitech, Paul applies his 15+ years of experience with the development, promotion and implementation of enterprise strategies across a range of information management disciplines to lead the management of the firm’s delivery program, practice growth and maturity, and business development.
In addition to his position as an adjunct professor at both Washington University and St. Louis University, Mr. Boal is currently focused on helping healthcare companies adapt to an evolving industry via integrated big data and advanced analytics strategies and solutions, as well as leading the technical direction for Amitech’s IoT Population Health Management platform and Advanced Value-Based Contract Management solutions.
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.
Notable expert clinical information systems specialist offering 25-plus years of strategic leadership. Successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange.
Excel at leading the development of long-term systems strategy for major medical organizations and executing plans to select innovative technology, implement systems, and leverage and maximize system functionality to enhance the health care delivery process.
Evangelist for the use of clinical technology to drive daily operations, analysis, and decisioning. Reputation for building consensus among medical, nursing and research leadership, clinical departments, and IT.
Scope of expertise encompasses designing technology-enabled processes, leading the clinical model for transformation, coordinating clinical workflow, ensuring the use of standardized data elements in clinical systems to meet clinical and research data warehouse requirements, leading teams through development and launch, and directing training.
Charles Boicey MS, RN-BC is the chief innovation officer for Clearsense, an outcomes-driven healthcare technology company based in Jacksonville, FL. Previously, Charles was the enterprise analytics architect for Stony Brook Medicine, where he developed the analytics infrastructure to serve the clinical, operational, quality, and research needs of the organization. He was a founding member of the team that developed the Health and Human Services award-winning application NowTrending to assist in the early detection of disease outbreaks by utilizing social media feeds. Charles is a former president of the American Nursing Informatics Association.
Data science expert and software system architect with expertise in machine-learning and big-data systems. Rich experiences of leading innovation projects and R&D activities to promote data science best practice within large organizations. Deep domain knowledge on various vertical use cases (e.g., Finance, Telco, Healthcare). Currently working pushing the cutting-edge application of AI at the intersection of high-performance database and IoT, focusing on unleashing the value of spatial-temporal data. I am also a frequent speaker at various technology conferences, including: O’Reilly Strata AI Conference, NVidia GPU Technology Conference, Hadoop Summit, DataWorks Summit, Amazon AWS re:Invent, Global Big Data Conference, Global AI Conference, World IoT Expo, Intel Partner Summit, presenting keynote talks and sharing technology leadership thoughts.
Received my Ph.D. from the Department of Computer and Information Science (CIS), University of Pennsylvania, under the advisory of Professor Insup Lee (ACM Fellow, IEEE Fellow). Published and presented research paper and posters at many top-tier conferences and journals, including: ACM Computing Surveys, ACSAC, CEAS, EuroSec, FGCS, HiCoNS, HSCC, IEEE Systems Journal, MASHUPS, PST, SSS, TRUST, and WiVeC. Served as reviewers for many highly reputable international journals and conferences.
Software Engineer at Imply
Carolyn Duby is a Solutions Engineer and Cyber Security SME at Hortonworks, where she helps customers harness the power of their data with Apache open source platforms. Previously, she was the architect for cybersecurity event correlation at SecureWorks. A subject-matter expert in cybersecurity and data science, Carolyn is an active leader in the community and frequent speaker at Future of Data meetups in Boston, MA, and Providence, RI, and at conferences such as Strata Data Conference, Dataworks Summit, Open Data Science Conference and Global Data Science Conference. Carolyn holds an ScB (magna cum laude) and ScM from Brown University, both in computer science. She is lifelong learner and recently completed the Johns Hopkins University Coursera Data Science Specialization.
Kai Liu is a Senior Program Manager in AI and Research group of Microsoft. He has 8 years of experience in data driven engineering, big data platform and AI infrastructure for Office and Bing product families. He led his team to create a service health portal for SharePoint Online, inject a distributed log collection and storage system for Exchange Online, publish curated data sets, key business metrics, and enable sub-hour experimentations in Office 365.
Currently he is working on the next generation of Big Data and Deep Learning platform for Bing based on Open Source technologies.
Highly efficient and results-oriented data scientist with strong quantitative skills, development experience and strong education background with a MSc (Imperial College London (World Rank within Top 10 QS)). Responsible self-starter with demonstrated experience in statistical programming language (R, Python, SAS) and programming language python for API’s. High ability holder on visualization with tools such as Tableau as well as good understanding of relational database such as SQL and oracle and non-relational database such as hbase, mongoDB and redis. Machine learning tools such as Hadoop, Spark, H2O, sparkling-water, pysparkling, SAS etc. as well as deep learning tools such as Keras, Tensorflow, Theano, MXnet, PyTorch. GPU cuda programming. Scaling data science. Expert in Predictive Modeling such as XGBoost, regression, Logit, Probit, GBM, RandomForest, Neural Network (generative model, GAN, VAE, RNN, CNN, word2vec etc.) , Naive Bays, K-nearest learn, PCA etc. (supervised learning, unsupervised learning, semi-supervised learning , reinforcement learning etc.) and also probabilistic modeling (PyMC3, Edward, Pyro) such as MCMC, HMC, NUTS, bayesian linear regression, variational models etc, Data mining skills such as parsing, nlp (natural language processing) and proficient in language modeling such as topic model, text clustering, word embedding, Word2Vec, Glove, text classification, RNN, Convolutional RNN etc. familiar with all the development environment such as Hadoop, Cloud (AWS, GCP, Azure) , GPU, Spark. etc.
Strong communication and relationship-building skills with diverse parties; fluent in English and Korean
Barbara Eckman is a Principal Software Architect at Comcast. She leads data governance for an innovative, division-wide initiative comprising near-real-time ingesting, streaming, transforming, storing, and analyzing Big Data. Barbara is a recognized technical innovator in Big Data architecture and governance, as well as scientific data and model integration. Her experience includes technical leadership positions at a Human Genome Project Center, Merck, GlaxoSmithKline, and IBM. She served on the IBM Academy of Technology, an internal peer-elected organization akin to the National Academy of Sciences.
Mayank Kejriwal is a research scientist at the University of Southern California's Information Sciences Institute (ISI), and a research assistant professor in the Department of Industrial and Systems Engineering. He received his Ph.D. from the University of Texas at Austin. His dissertation involved Web-scale data linking, and in addition to being published as a book, was recently recognized with an international Best Dissertation award in his field. His research is highly applied and sits at the intersection of knowledge graphs, social networks, Web semantics, network science, data integration and AI for social good. He has contributed to systems used by both DARPA and by law enforcement, and has active collaborations across academia and industry. He is currently co-authoring a textbook on knowledge graphs (MIT Press, 2018), and has delivered tutorials and demonstrations at numerous conferences and venues, including top academic venues such as KDD, AAAI, and ISWC, and industrial venues . He is currently serving as general chair of the ACM K-CAP conference in 2019, and is co-editing a special issue on knowledge graphs in the Semantic Web Journal. He was awarded a Key Scientific Challenges award in 2018 by the Allen Institute for Artificial Intelligence, and was recently named a Forbes Under 30 Scholar. He has also been nominated as a 2019 Forbes 30 Under 30 in the Science category.
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.
https://www.brighttalk.com/webcast/15789/320149/data-as-reliable-as-running-water-analytics-machine-learning-at-uber
Lohit is part of Hadoop and Log Management team at Twitter. He has been concentrating on scaling Hadoop FileSystem, Hadoop Resource Manager, Log Ingestion and Processing pipelines at Twitter. Previously he has worked at few startups building scalable file systems and was also part of Hadoop team at Yahoo! when it was open sourced. He has Masters degree in Computer Science from Stony Brook University.
David is a Director of Solution Architecture at Streamlio, and also a contributor to the Apache NiFi, and Apache Pulsar projects. He was formerly the Practice Director at Hortonworks, where he was responsible for the development of best practices and solutions for the professional services team, with a focus on HDF-related technologies including Kafka, NiFi, and Storm. He is a co-author of “Practical Hive: A Guide to Hadoop’s Data Warehouse System”, and holds a B.S and Master’s Degree in Computer Science from Kent State University.
Accomplished product owner with multiple years of professional experience working with leading-edge technologies supporting a large landscape of business cases. Proven problem solving skills, best management practices & result-oriented decision making capabilities
I am currently a Engineering Manager at Uber where I am a member of the Hadoop Platform team working on large scale data ingestion and dispersal pipelines and libraries leveraging Apache Spark. I was also previously the tech lead on the metrics team at Uber Maps building data pipelines to produce metrics to help analyze the quality of our mapping data. Before joining Uber, I worked at Twitter as an original member of the Core Storage team building Manhattan, a key/value store powering Twitter's use cases. I love learning anything about storage and data platforms and distributed systems at scale.
Leader of HDFS/ZooKeeper project at Xiaomi, focus on distributed filesystem. 6 years experience on large scale distributed storage system
Sanjeev Koranga is leading the PayPal’s instrumentation and analytics platform team. He is responsible for making PayPal’s behavioral analytics self-serve & designing and developing systems for turning data into meaningful insights.
Dave is an Enterprise Software Architect with over twenty-five years of technical leadership in the telecommunications, financial services, and healthcare domains. Dave’s diverse experience ranges from engineering event-based and rule processing systems at “PaaS” (Platform as a Service) scale to building an autonomous-agent workplace simulation engine. At Comcast, Dave is leading the end-to-end ingest, compute, and machine learning pipeline architectures for supporting Customer Experience Big Data applications.
As General Manager for Insurance, Cindy Maike is responsible for global insurance strategy and customer engagement for Hortonworks. She works with customers and partners leveraging analytics for current day business growth and exploring the use of new data sources to drive innovation in the evolving world of insurance. She has over 25 years of finance, consulting and advisory services experience in the insurance industry working with clients globally on their business strategy leveraging analytics and technology to further drive business results.
Cindy has deep industry knowledge in both claims and underwriting with a focus on the use of analytics and data to enhance business outcomes. She has held positions with the IBM Watson Solution Group, Carrier Insurance, Director of Strategy at ACORD, and was co-founder of Strategy Meets Action Research and Advisory Services. Cindy has also held and is a CPA.
She is passionate about solving business problems and eternally believes in process improvement and strongly believes that today's next generation of business intelligence in the form of advanced analytics will revolutionize the insurance industry. Cindy frequently speaks to business events on the value of business analytics, cognitive computing and the evolution of insurance in a connected world.
Nitin Khandelwal is working at Qubole as a Staff Engineer. He has worked in a different arena of projects like adding encrypted communication for ephemeral clusters nodes running in the cloud, providing Hive as a multi-tenant service, Autoscaling, etc. He has been contributing significantly in optimizing Tez engine for ETL workloads by adding features like workload-aware autoscaling, fault-tolerance, effective use of spot nodes, etc.
Previously, Nitin was working with Microsoft on VPN Site-to-site gateway service which forms the backbone of Microsoft Azure Stack's network.
Nitin has completed his Masters in Computer Science from IIIT-Hyderabad. His main areas of focus there were distributed computing, databases and networks.
Senior Technologist at American Water working on HDP & HDF.
I am an Engineering Manager with 6+ Years of Data Engineering, Data Science & Analytics Experience across Retail, Finance & Marketing industries. In my current role at WalmartLabs, I lead the engineering team for the customer experience domain and we have been primarily working on a data lake initiative to bring all the various data assets at Walmart under one single platform. I have worked across various database systems and have been extensively working on Hadoop stack in my past 4 years at Walmart. As part of our data lake migration, I worked building end to end data platforms on Hadoop and also worked on evaluating multiple Query acceleration layers on top of Hadoop and as part of this we have evaluated Druid, LLAP, Spark, Kinetica etc to power our BI platforms.
My Speaking & Presentation Experience:
@NWA IISE conference: Topic: 'Data Cafe: Enabling Real Time Insights Through Visualization'
@Bentonville Data Science Meetup: ' Data Cafe: Ask Me Anything - Bot Framework using NLP'
My work at WalmartLabs was featured on Forbes as one of the "The Most Practical Big Data Use Cases Of 2016" https://www.forbes.com/sites/bernardmarr/2016/08/25/the-most-practical-big-data-use-cases-of-2016/#1a1206531625
Jeff is a software engineer and cloud architect. He is a committer and PMC on Apache OpenNLP. Jeff currently works on natural language processing pipeline projects and resides outside of Morgantown, WV.
Dr. Dhabaleswar K. (DK) Panda is a Professor and University Distinguished Scholar of Computer Science at the Ohio State University. He obtained his Ph.D. in computer engineering from the University of Southern California. His research interests include parallel computer architecture, high-performance computing, communication protocols, big data, deep learning, files systems, network-based computing, and Quality of Service. He has published over 450 papers in major journals and international conferences related to these research areas. Dr. Panda and his research group members have been doing extensive research on modern networking technologies including InfiniBand, Omni-Path, High-Speed Ethernet and RDMA over Converged Enhanced Ethernet (RoCE). His research group is currently collaborating with National Laboratories and leading InfiniBand and Ethernet/iWARP companies on designing various subsystems of next-generation high-end systems. The MVAPICH2 (High-Performance MPI over InfiniBand, iWARP, and RoCE) open-source software package, developed by his research group, are currently being used by more than 2,925 organizations worldwide (in 86 countries). This software has enabled several InfiniBand clusters (including the 1st one) to get into the latest TOP500 ranking. These software packages are also available with the Open Fabrics stack for network vendors (InfiniBand and iWARP), server vendors and Linux distributors. The new RDMA-enabled Apache Hadoop and Memcached packages, consisting of acceleration for HDFS, MapReduce, RPC and Memcached, are publicly available from http://hibd.cse.ohio-state.edu. Dr. Panda's research is supported by funding from US National Science Foundation, US Department of Energy, and several industry including Intel, Cisco, SUN, Mellanox, QLogic, NVIDIA and NetApp. He is an IEEE Fellow and a member of ACM. More details about Dr. Panda, including a comprehensive CV and publications are available at http://web.cse.ohio-state.edu/~panda.2/.
Akshitha Ramachandran is a junior at Harvard University pursuing a joint degree in both Computer Science and Statistics. She was a founding member and Lead Engineer at Harvard Student Agencies - DEV, a start-up focused on developing mobile and web applications for third party clients. She is both a senior developer and board member at ProMazo, a campus organization focused on partnering top students from leading universities with projects at leading companies. Additionally, Akshitha attends Hackathons and has been on the board of Harvard’s Women Engineers Code (WECode) conference. She is on the board of the Harvard College Consulting Group, where as an Associate Director of Engagement she is responsible for the acquisition, organization and execution of three client projects every semester. This past summer she spent time at Novetta expanding their Machine Learning practices, specifically in the Named Entity Resolution space. She has contributed to the company’s internal pipeline, designed a demo for them, and published some of her work (https://www.novetta.com/2018/09/named-entity-recognition-and-graph-visualization/ and https://www.novetta.com/2018/08/evaluating-solutions-for-named-entity-recognition/).
Don Bosco Durai (Bosco) is a thought leader in enterprise security and is a committer in open source projects like Apache Ranger, Apache Ambari, and Apache HAWQ. He has also contributed towards the security for most of the Hadoop components. Bosco was the co-founder of XA Secure, which is the genesis of Apache Ranger. Bosco is currently the co-founder of Privacera where he is tackling the data security challenges in modern data architecture, like Big Data and Cloud, where large data set constantly moves between different environments, which can result major security breaches or compliance violation if not managed properly. Privacera automates discovery of sensitive data, does transparent encryption/anonymization, manages access policies and monitors access.
Don Bosco Durai (Bosco) is a thought leader in enterprise security and is a committer in open source projects like Apache Ranger, Apache Ambari, and Apache HAWQ. He has also contributed towards the security for most of the Hadoop components. Bosco was the co-founder of XA Secure, which is the genesis of Apache Ranger. Bosco is currently the co-founder of Privacera where he is tackling the data security challenges in modern data architecture, like Big Data and Cloud, where large data set constantly moves between different environments, which can result major security breaches or compliance violation if not managed properly. Privacera automates discovery of sensitive data, does transparent encryption/anonymization, manages access policies and monitors access.
Agenda-at-a-Glance
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Tracks
- Artificial Intelligence and Data Science
- Big Compute and Storage
- Cloud, Big Data Architecture and Operations
- Data Warehousing and Operational Data Stores
- Governance and Security
- IoT and Streaming Analytics
- Public Sector
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
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
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
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
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
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
You’ll see examples from a wide range of organizations, including education, health care, public infrastructure, and government. We’ll show you how to use modern open-source technology, from machine-learning and AI to enterprise data warehousing and modern data architectures to enable transformative changes. You’ll hear from technical leads, analysts, and practitioners who are driving innovation using open-source big data technology.
Sample technologies: TensorFlow, Keras, Apache Spark, Apache Hadoop (YARN, HDFS, Ozone), AWS, Apache Ambari, Cloudbreak, Apache Hive, Apache Ranger, Apache Nifi, and more.
Community Events
Packages & Passes
Pre-event training is not included.
Pre-event training is not included.
- 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.
Pre-event training is not included.
Pre-event training is not included.
- 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.
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, April 26, 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.
Venue & Travel Info
Marriott Marquis Washington, DC
Marriott Marquis Washington, DC, Massachusetts Avenue Northwest, Washington, DC, USA
1 (202) 824-9200
Marriott Marquis Washington, DC
Marriott Marquis Washington, DC, Massachusetts Avenue Northwest, Washington, DC, USA
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