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Keynote: Big Value with Big Data

Data is transforming industries and creating massive value for businesses. It can help us better understand our world, build innovative products and services, and manage operational risk and compliance. Taking advantage of these opportunities, including the internet of things, requires a modern approach to working with data, and success takes more than just applying new technologies like Apache Hadoop. Join us to learn how to get started on your journey to a data strategy.

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Hadoop and Spark Essentials

New to Hadoop and Spark or still need to sharpen your understanding? Trying to figure out what Sqoop, Flume or Hive are and what they can be used for? If so, you're not alone. Hands on Hadoop and Spark is the ultimate guide to help you take your understanding to the next level. Join Cloudera as we take you through the origins of Hadoop, discuss existing and new projects, what they are used for, and how you can apply Hadoop and Spark to modernize your data architecture.

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Apache Hadoop Meets Cybersecurity

Cybersecurity has become the topic of conversation for organizations across every industry as attack surfaces have expanded with the digital, social, and mobile world. As it becomes more difficult to protect organizations, professionals are turning to new technologies in order to avoid massive reputational, monetary, and intellectual property losses. In recent years a convergence of factors have occurred that is putting Apache Hadoop and Apache Spark at the forefront of the cybersecurity arms race.

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Driving a True Customer 360 with Apache Hadoop

Organizations spanning all industries are in pursuit of Customer 360, which aims to integrate and enrich customer information across multiple channels, systems, devices and products in order to improve the interaction experience and maximize the value delivered. With an Enterprise Data Hub, powered by Apache Hadoop, organizations can effectively stitch together a true 360-degree view of their customer base that goes beyond the traditional segmentation attributes in order to deliver personalized offerings, improve marketing effectiveness and drive down churn.

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Architecture Modernization - New approaches to data engineering using Apache Hadoop

As your company aims to integrate more data sources, new approaches can help you ensure critical systems are running in an optimal fashion and that future data types will not present added complication.  Whether you are looking to modernize and consolidate your existing environment or build new data pipelines an enterprise data hub architecture gives you an ecosystem of tools to address your data.  See how Hadoop fits into your current analytic environment and learn about common project risks.

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Data Driven Product & Service Development

Every industry is currently in the midst of a transformation as agile players in the space turn to data in order to gain market share by driving product differentiation. We are living in an “apps” driven economy. Many of the apps use data to provide a personalized and differentiated experience. With petabytes of information streaming off of more products and applications everyday, leveraging this behavioral information to better inform product and service development is a must.

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