Cloudera Sessions 2016 heads to Asia Pacific
Cloudera’s complimentary event designed for the sharing of
knowledge and best practices among data professionals is now coming to cities
in Asia Pacific
knowledge and best practices among data professionals is now coming to cities
in Asia Pacific
Singapore, 28 March, 2016 – Today, Cloudera,
the global provider of the fastest, easiest, and most secure data management
and analytics platform built on Apache Hadoop and the latest open source
technologies, announced the dates and locations for the 2016 Cloudera Sessions.
Now in its fourth year running, the Cloudera Sessions will go to over 35 cities
around the world, including 12 locations in the Asia Pacific region.
the global provider of the fastest, easiest, and most secure data management
and analytics platform built on Apache Hadoop and the latest open source
technologies, announced the dates and locations for the 2016 Cloudera Sessions.
Now in its fourth year running, the Cloudera Sessions will go to over 35 cities
around the world, including 12 locations in the Asia Pacific region.
One of the objectives for the sessions is to help organizations
determine a logical, value-driven path towards data platform modernization,
leveraging open source Apache Hadoop based software. This year, the sessions
carry the theme “Taking the Risk out of Business,” and will include
tracks for business and IT decision makers along with analytics experts and
developers. The sessions will also carry content that is useful for
professionals who are looking to adopt big data technologies for the first
time, as well as existing users who are determined to best leverage the Hadoop
platform.
determine a logical, value-driven path towards data platform modernization,
leveraging open source Apache Hadoop based software. This year, the sessions
carry the theme “Taking the Risk out of Business,” and will include
tracks for business and IT decision makers along with analytics experts and
developers. The sessions will also carry content that is useful for
professionals who are looking to adopt big data technologies for the first
time, as well as existing users who are determined to best leverage the Hadoop
platform.
Who: Keynotes include a host
of Cloudera’s executives, such as:
of Cloudera’s executives, such as:
· Doug Cutting — Chief
Architect, Cloudera
Architect, Cloudera
· Clarke Patterson —
Senior Director, Product Marketing, Cloudera
Senior Director, Product Marketing, Cloudera
Each event will also feature speakers from Cloudera partner
organizations like Intel, Hewlett-Packard Enterprise (HPE), SAS and
Talend, as well as end users who will share information on production use
cases, best practices, and lessons learned in the field.
organizations like Intel, Hewlett-Packard Enterprise (HPE), SAS and
Talend, as well as end users who will share information on production use
cases, best practices, and lessons learned in the field.
When and where: Cloudera Sessions
will come to the following cities in Asia Pacific (venue and time subject to
changes):
will come to the following cities in Asia Pacific (venue and time subject to
changes):
City, Country
|
Date
|
Sydney, Australia
|
April 4, 2016
|
Jakarta, Indonesia
|
April 6, 2016
|
Bangkok, Thailand
|
April 8, 2016
|
Tokyo, Japan
|
April 11, 2016
|
Singapore
|
April 12, 2016
|
Kuala Lumpur, Malaysia
|
April 13, 2016
|
Shenzhen, China
|
April 13, 2016
|
Manila, Philippines
|
April 15, 2016
|
Seoul, Korea
|
April 15, 2016
|
Beijing, China
|
April 19, 2016
|
Shanghai, China
|
April 20, 2016
|
Taipei, Taiwan
|
April 22, 2016
|
Registration and
additional information: For more information
about the 2016 Cloudera Sessions or to register, visit https://www.cloudera.com/about-cloudera/press-center/press-releases/2016-02-02-Dates-and-Locations-Announced-for-Cloudera-Sessions-2016.html.
additional information: For more information
about the 2016 Cloudera Sessions or to register, visit https://www.cloudera.com/about-cloudera/press-center/press-releases/2016-02-02-Dates-and-Locations-Announced-for-Cloudera-Sessions-2016.html.
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