Cloudera Session: Rethink Data – and what your business can do

Date:  April 24th, 2014 9:00am PT/12:00pm ET

Join Cloudera Sessions – Los Angeles and learn how many of today’s major companies are relying on an enterprise data hub to transform their business and gain a competitive advantage.

Today’s leading companies need to be information-driven to succeed. To be information-driven means being able to leverage an unprecedented volume and variety of data, storing it cost-effectively, and delivering insights in a number of ways to a wide range of audiences, each with diverse requirements. Are you information-driven?


Westin Bonaventure

404 South Figueroa Street
Los Angeles, CA 90071



9:00 AM   Keynote: The Future of Data Management – the enterprise data hub
Alan Saldich, Vice President, Marketing
10:00 AM   Your Path to Success with Big Data
10:30 AM   Break
11:00 AM   Customer presentations and fireside chat
12:00 PM   Lunch
provided by Cloudera
1:00 PM   Breakout Sessions (Choose two of the three available)

Getting Started with Hadoop
If you’re interested in Hadoop and its capabilities, but you are not sure where to begin, this clinic is for you. Learn the basics of Hadoop, see how to spin up a development cluster in the cloud or on-premise, and start exploring ETL processing with SQL and other familiar tools.

Hadoop Data and Access Security
The fundamentals and best practices of securing your Hadoop cluster are top of mind today. In this session, we will examine and explain the components, tools, and frameworks used in Hadoop for authentication, authorization, audit, and encryption of data and processes. See how the latest innovations can let you securely connect more data to more users within your organization.

Data Warehouse Optimization
Data warehouses have been a critical part of the data management infrastructure for decades. Yet today, data warehouses and their surrounding infrastructure strain to keep up as organizations grapple with more types and greater volumes of data. Hear how you can shift appropriate data and workloads to Hadoop to reduce costs, increase performance, and analyze larger and more diverse data sets.

3:00 PM   Happy Hour