DataWorks Summit in San Jose, California

June 17–21, 2018

The Industry’s Premier Big Data Community Event

Leading enterprises are using advanced analytics, data science, and artificial intelligence to transform the way they deliver customer and product experiences—at scale. Discover how they’re doing it. Learn about the latest developments. And network with peers and pioneers to learn how to apply open source technology to accelerate your digital transformation.

Tracks

DataWorks Summit San Jose 2018 will feature two full days of content in eight tracks dedicated to enabling next-generation data platforms. You’ll hear industry experts, architects, data scientists, and open source Apache developers and committers share success stories, best practices, cautionary tales, and technology insights that provide practical guidance to novices as well as experienced practitioners of modern data infrastructure.

Technical sessions explore specific technologies, applications, and use cases to help you understand the technology available, how to apply it, and what others are achieving. These sessions will range in technical depth from introductory through intermediate to advanced.

Business sessions connect technology to business needs and outcomes. Sessions include case studies, executive briefings, and tutorials that detail best practices to becoming a data-driven organization. Speakers will explain how their businesses are making the move from legacy data stores to modern data architectures, and they’ll discuss the roadblocks and cultural and organizational challenges they faced.

Eight tracks provide the information you need to apply powerful new technologies and understand the value they bring to modern data-driven organizations.

Tracks are divided into eight key topic areas, which will cover:

Data Warehousing and Operational Data Stores

Data Warehousing and Operational Data Stores

Apache Hadoop YARN has transformed Hadoop into a multi-tenant data platform that enables the interaction of legacy data stores and big data. It is the foundation for multiple processing engines that let applications interact with data in the most appropriate way from batch to interactive SQL to low latency access with NoSQL.

Sessions will cover the vast ecosystem of SQL engines and tools that enable richer enterprise data warehousing (EDW) on Hadoop. You’ll learn how NoSQL stores like Apache HBase are adding transactional capability that brings 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, Druid, Apache Parquet, Apache HBase, Apache Phoenix, Apache Accumulo, Apache Drill, Presto, Apache Pig, JanusGraph, Apache Impala

Artificial Intelligence and Data Science

Artificial Intelligence and Data Science

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:

Apache Spark, R, Apache Livy, Apache Zeppelin, Jupyter, scikit-learn, Keras, TensorFlow, DeepLearning4J, Chainer, Lasagne/Blocks/Theano, CaffeOnSpark, Apache MXNet, and PyTorch/Torch

Big Compute and Storage

Big Compute and Storage

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

Cloud and Operations

Cloud and Operations

For a system to be “open for business,” system administrators must be able to efficiently manage and operate it. That requires a comprehensive dataflow and operations strategy. This track provides best practices for deploying and operating data lakes, streaming systems, and the extended Apache data ecosystem on premises and in the cloud. Sessions cover the full deployment lifecycle including installation, configuration, initial production deployment, upgrading, patching, loading, moving, backup, and recovery.

You’ll discover how to get started and how to operate your cluster. Speakers will show how to set up and manage high-availability configurations and how DevOps practices can help speed solutions into production. They’ll explain how to manage data across the edge, the data center, and the cloud. And they’ll offer cutting-edge best practices for large-scale deployments.

Sample technologies:
Apache Ambari, Cloudbreak, HDInsight, HDCloud, Data Plane Service, AWS, Azure, and Apache Oozie

For a system to be “open for business,” system administrators must be able to efficiently manage and operate it. That requires a comprehensive dataflow and operations strategy. This track provides best practices for deploying and operating data lakes, streaming systems, and the extended Apache data ecosystem on premises and in the cloud. Sessions cover the full deployment lifecycle including installation, configuration, initial production deployment, upgrading, patching, loading, moving, backup, and recovery.

You’ll discover how to get started and how to operate your cluster. Speakers will show how to set up and manage high-availability configurations and how DevOps practices can help speed solutions into production. They’ll explain how to manage data across the edge, the data center, and the cloud. And they’ll offer cutting-edge best practices for large-scale deployments.

Sample technologies:
Apache Ambari, Cloudbreak, HDInsight, HDCloud, Data Plane Service, AWS, Azure, and Apache Oozie

Governance and Security

Governance and Security

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

Cyber Security

Cyber Security

The speed and scale of recent ransomware attacks and cyber security breaches have taught us that threat detection and mitigation are the key to security operations in data-driven businesses. Creating cyber security machine learning models and deploying these models in streaming systems is becoming critical to defending and managing these growing threats.

In this track, you’ll learn how to leverage big data and stream processing to improve your cyber security. Experts will explain how to scale with analytics on more data and react in real time.

Sample technologies:
Apache Metron, Apache Spot

IoT and Streaming

IoT and Streaming

The rapid proliferation of sensors and connected devices is fueling an explosion in 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 manage devices at the “jagged edge.” Sessions present new strategies and best practices for 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, evolving, real-time predictive systems for actionable insights.

Sample technologies:
Apache Nifi, Apache Storm, Streaming Analytics Manager, Apache Flink, Apache Spark Streaming, Apache Beam, Apache Pulsar and Apache Kafka

Enterprise Adoption

Enterprise Adoption

Enterprise business leaders and innovators are using data to transform their businesses. These modern data applications are augmenting traditional architectures and extending the reach for insights from the edge to the data center. Sessions in this track will discuss business justification and ROI for modern data architectures.

You’ll hear from ISVs and architects who have created applications, frameworks, and solutions that leverage data as an asset to solve real business problems. Speakers from companies and organizations across industries and geographies will describe their data architectures, the business benefits they’ve experienced, their challenges, secrets to their successes, use cases, and the hard-fought lessons learned in their journeys.

Venue & Travel

Location Icon
SAN JOSE MCENERY CONVENTION CENTER

San Jose McEnery Convention Center, West San Carlos Street, San Jose, CA, United States

1 (408) 295-9600

Visit Event Center Website

SAN JOSE MCENERY CONVENTION CENTER

San Jose McEnery Convention Center, West San Carlos Street, San Jose, CA, United States

View on Google Maps

NEVER MISS ANOTHER SPEAKER ANNOUNCEMENT

Get Social, Stay Connected!