Seguridad Mania.com - España y América Latina
Portal sobre tecnologías para la seguridad física
- Destacamos »
- software Anti Blanqueo
SAN JOSE, CA -- (Marketwired) -- 06/02/15 -- MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop®, today announced that Senior Vice President of Product Management Anil Gadre will present a featured keynote on "Spark & Hadoop at Production Scale" at Spark Summit 2015. Additionally, Chief Application Architect Ted Dunning and Director of Product Management Neeraja Rentachintala will present at the conference, which will be held in San Francisco, June 15 - 17, 2015.
Details on MapR featured keynote and conference sessions:
When: Monday, June 15, at 10:35 AM
Where: The Hilton Union Square, San Francisco, CA, Grand Ballroom B
What: Gadre will keynote a presentation titled: "Spark & Hadoop at Production Scale," where he will highlight how leading companies are deploying Spark with Hadoop in production. He will share real-life customer examples of turning data into action using Spark and Hadoop and how advanced users are deploying Hadoop and Spark applications in one cluster with better reliability and performance at production scale.
When: Tuesday, June 16, at 4:00 PM
Where: The Hilton Union Square, San Francisco, CA Room # 1
What: Dunning will present a session titled: "Some Important Streaming Algorithms You Should Know About," where he will discuss streaming algorithms and real time processing. He will discuss newer algorithms including t-digest and streaming k-means for truly real-time collaborative filtering.
When: Tuesday, June 16 at 5:30 PM
Where: The Hilton Union Square, San Francisco, CA Room # 1
What: Rentachintala will present a session titled: "Adding Complex Data to Spark Stack." She will highlight the latest integration between Apache Drill and Spark technologies, which allows Spark users to leverage Drill's flexible schema and dynamic schema discovery capabilities to query and work with complex data directly using familiar Spark programming paradigms.
Also in June, MapR will present at the New Jersey Big Data and Hadoop Meetup on June 2, at the Hive Think Tank Meetup in Palo Alto, CA on June 3, and at Predictive Analytics in Chicago on June 9. Additionally, MapR will present at the Cloud Computing Expo East in New York City on June 10, at Big Data in the Big D in Dallas on June 18, at Big Data Everywhere in Boston on June 23 and at Big Data Day LA on June 27.
About MapR Technologies
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. MapR is used by more than 700 customers across financial services, government, healthcare, internet, manufacturing, media, retail and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Amazon, Cisco, Google, Teradata and HP are part of the broad MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. MapR is based in San Jose, CA. Connect with MapR on Twitter, LinkedIn, and Facebook
Media Contacts:
Beth Winkowski
MapR Technologies, Inc.
(978) 649-7189
bwinkowski@maprtech.com
Nancy Pieretti
MapR Technologies, Inc.
(603) 268-8007
npieretti@maprtech.com
Publicamos interesante Informe de más de 48 págs y varios videos demostrativos sobre los posibles ataques a los robots de montaje de las fábricas. ... Leer más ►
Publicado el 22-Jun-2017 • 10.48hs
Publicado el 20-Jun-2017 • 20.22hs
Dirigido tanto a los principiantes, como a los expertos en seguridad informática y sistemas de control industrial (ICS), este libro ayudará a los lectores a comprender mejor la protección de normas de control interno de las amenazas electrónicas. ... Leer más ►
Publicado el 3-Ene-2012 • 20.16hs
Publicado el 25-Set-2009 • 01.26hs
Publicado el 17-Dic-2008 • 08.32hs
Publicado el 11-Oct-2016 • 12.48hs
Publicado el 15-Mar-2016 • 11.59hs
Publicado el 2-Feb-2017 • 11.38hs
Publicado el 20-Jun-2014 • 17.17hs
Publicado el 31-May-2011 • 05.13hs
Publicado el 25-Set-2008 • 17.54hs
Publicado el 1-Set-2016 • 16.11hs
Publicado el 31-Ago-2016 • 18.53hs
Publicado el 19-Ene-2017 • 15.47hs
Publicado el 4-Jul-2016 • 18.51hs