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Spark Streaming with Kafka Workshop - Santa Clara Nov 11 - 13, 2016

Event Details

Spark Streaming with Kafka Workshop - Santa Clara Nov 11 - 13, 2016

Time: November 11, 2016 at 7:30am to November 13, 2016 at 6pm
Location: Santa Clara Convention Center
Street: 5001 Great America Parkway
City/Town: Santa Clara
Website or Map: http://globalbigdataconferenc…
Phone: 408-400-3769
Event Type: bootcamp
Organized By: Global Big Data Conference
Latest Activity: Nov 5, 2016

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Event Description

Global Big Data Conference is offering 3 day extensive bootcamp on Big Data. This is a fast paced, vendor agnostic, technical overview of the Big Data landscape. No prior knowledge of databases or programming is assumed. Big Data Bootcamp is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop, Spark, NoSQL, Data Science, Machine Learning, Artificial Intelligence & Deep Learning. Attendees will experience real Hadoop clusters and the latest Hadoop distributions. 

Who Should Attend:

Engineers, Developers, Data Scientists, Statisticians, DBA, Analytics professionals, Architects, Networking specialists, Managers, Executives, Students, Professional Services, Architects, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff,  Delivery Manager

Click here to register

http://globalbigdataconference.com/santa-clara/big-data-bootcamp/attendee-registration-77.html

Pay $1299(3 days), $899(any two days), $599(Any one day) with Promotional code= DSC 

That's $200 discount on normal registration price $1499(3days) $1099(any two days) $799 (Any one day)

Venue:

Santa Clara Convention Center, 5001 Great America Parkway, Santa Clara

Agenda:http://globalbigdataconference.com/santa-clara/big-data-bootcamp/schedule-77.html

Refund Policy

No refunds will be given for cancellations
If you have any questions concerning Big Data Bootcamp, please do not hesitate to contact [email protected] or Call: 408-400-3769

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