Wayne State University

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Zaheer Allam

Zaheer Allam

has joined San Jose, California based GlobalLogic, a full-lifecycle product development firm,...
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Professional Prep: Resume Workshop & Walk-in Reviews
March 6 2015 at 2:00 PM
Engineering, College of
Facilitated by Career Services Consultant, Carmen Gamlin
Second Annual Big Data & Business Analytics Symposium
March 10 2015
McGregor Memorial Conference Center
March 10 Tutorials (9:30 a.m. - 5:30 p.m.) and March 11 Symposium (8:00 a.m. - 6:00 p.m.) This symposium will focus on pragmatic issues faced while deploying Big Data strategies to drive business success.  It will have special focus on managing and analyzing the data captured through marketing, product development, manufacturing, distribution, sales, and service in a global setting. Symposium attendees will gain keen insights and learn tips on identifying Big Data opportunities, developing business cases, and using analytics to drive business success.  The symposium also seeks to provide a clear distinction between legacy analytics that are pervasive in industry and the emerging next generation tools, technologies, and processes that will form the foundation for a new wave of innovation and growth. Join us as we hear from leading experts who have put analytics to action and charted out a new course of competitive advantage and growth for their companies. EVENT SCHEDULE March 10 Tutorials (8:30 a.m. - 5:30 p.m.) 8:30 - 9:00 a.m. Tutorial Registration 9:00 a.m. - 5:30 p.m. Tutorial [CHOOSE ONE TO ATTEND]Tutorial 1: Hadoop in the Enterprise - This full-day tutorial introducesHadoop Stack and its evolution over the years.  All basic components of Hadoop will be covered.  The tutorial will also cover how enterprises are deploying Hadoop while protecting their investments in data warehousing and MDM infrastructures. Tutorial 2: Spark for Data Science - This is a full-day tutorial on the distributed programming framework Apache Spark and its use in doing scalable data science.  The tutorial will provide an overview of the key features of Spark and explain these with hands-on exercises.  We expect the attendee to have some programming experience in Python, Java, or Scala and basic appreciation of data science concepts.March 11 Symposium (8:00 a.m. - 6:00 p.m.)Symposium and Networking ReceptionVisit the symposium website for full program details.Registration: Early bird registration closes on February 25, 2015.  There are no tutorial discounts for students.  If you need to register for more than one person at a time, contact the WSU Office of Special Events and Services at (313) 577-0300.  The registration fee schedule is as follows: Registration Options Early Bird Fee (on or before 2/25/15) Regular Fee(starting 2/26/15) March 10 - Tutorial 1: Hadoop in the Enterprise ONLY $149 $199 March 10 – Tutorial 2: Spark for Data Science ONLY $149 $199 March 11 – Symposium ONLY $149 $199 March 11 – Symposium ONLY (STUDENT RATE) $45 $60 March 10 Tutorial 1 + March 11 Symposium $249 $349 March 10 Tutorial 2 + March 11 Symposium $249 $349 March 10 Tutorial 1 + March 11 Symposium (STUDENT RATE) $165 $195 March 10 Tutorial 2 + March 11 Symposium (STUDENT RATE) $165 $195 Visit the Big Data & Business Analytics Group website for more information.  Cancellation/Refund PolicyCancellation requests received before February 13, 2015 will receive full refund.Cancellation requests received during February 14 - 28, 2015 will receive 90% refund.Cancellation requests received during February 29, 2015 - March 7, 2015  will only receive 50% refund.We will not entertain any cancellation requests after March 8th. 
REGISTER for 2015 Big Data & Business Analytics Symposium
March 10 2015 at 8:00 AM
McGregor Memorial Conference Center
March 10 Tutorials (9:30 a.m. - 5:30 p.m.) and March 11 Symposium (8:00 a.m. - 6:00 p.m.) This symposium will focus on pragmatic issues faced while deploying Big Data strategies to drive business success.  It will have special focus on managing and analyzing the data captured through marketing, product development, manufacturing, distribution, sales, and service in a global setting. Symposium attendees will gain keen insights and learn tips on identifying Big Data opportunities, developing business cases, and using analytics to drive business success.  The symposium also seeks to provide a clear distinction between legacy analytics that are pervasive in industry and the emerging next generation tools, technologies, and processes that will form the foundation for a new wave of innovation and growth. Join us as we hear from leading experts who have put analytics to action and charted out a new course of competitive advantage and growth for their companies. EVENT SCHEDULE March 10 Tutorials (8:30 a.m. - 5:30 p.m.) 8:30 - 9:00 a.m. Tutorial Registration 9:00 a.m. - 5:30 p.m. Tutorial [CHOOSE ONE TO ATTEND]Tutorial 1: Hadoop in the Enterprise - This full-day tutorial introduces Hadoop Stack and its evolution over the years.  All basic components of Hadoop will be covered.  The tutorial will also cover how enterprises are deploying Hadoop while protecting their investments in data warehousing and MDM infrastructures. Tutorial 2: Spark for Data Science - This is a full-day tutorial on the distributed programming framework Apache Spark and its use in doing scalable data science.  The tutorial will provide an overview of the key features of Spark and explain these with hands-on exercises.  We expect the attendee to have some programming experience in Python, Java, or Scala and basic appreciation of data science concepts.March 11 Symposium (8:00 a.m. - 6:00 p.m.)Symposium and Networking ReceptionVisit the symposium website for full program details.Registration: Early bird registration closes on February 25, 2015.  There are no tutorial discounts for students.  If you need to register for more than one person at a time, contact the WSU Office of Special Events and Services at (313) 577-0300.  The registration fee schedule is as follows: Registration Options Conference Fee   March 10 - Tutorial 1: Hadoop in the Enterprise ONLY $149   March 10 – Tutorial 2: Spark for Data Science ONLY $149   March 11 – Symposium ONLY $149   March 11 – Symposium ONLY (STUDENT RATE) $45   March 10 Tutorial 1 + March 11 Symposium $249   March 10 Tutorial 2 + March 11 Symposium $249   March 10 Tutorial 1 + March 11 Symposium (STUDENT RATE) $165   March 10 Tutorial 2 + March 11 Symposium (STUDENT RATE) $165   Visit the Big Data & Business Analytics Group website for more information.  Cancellation/Refund PolicyCancellation requests received before February 13, 2015 will receive full refund.Cancellation requests received during February 14 - 28, 2015 will receive 90% refund.Cancellation requests received during February 29, 2015 - March 7, 2015  will only receive 50% refund.We will not entertain any cancellation requests after March 8th. 
PAD Seminar - Mid-Career Challenges: How to Advance Your Career
March 12 2015 at 1:00 PM
5057 Woodward
The offices of the Vice President for Research, Provost, and Faculty Affairs (School of Medicine) are pleased to offer the Professional and Academic Development seminar series for WSU faculty, chairs & directors, postdoctoral trainees & graduate students, and administrators. Seminars are free, but registration is required. This seminar, Mid-Career Challenges: How to Advance Your Career, will take place Thursday, March 12, 2015, 1-2:30 p.m. at 5057 Woodward, 6th Floor, Conference Room A. The moderator will be Heather Dillaway, Associate Professor, Sociology. Topics will include: How to move on to your next book How to write a lot Identifiying what you want to do And more! Although PAD seminars will no longer be recorded due to low viewing activity, please see past seminar videos and handouts on the PAD website. If you have questions about this seminar series, please contact fgiblin@wayne.edu. We hope to see you at this informative PAD session!
Co-op Information Session for WSU Engineering Warriors
March 26 2015 at 2:00 PM
Engineering, College of
If you are seeking an internship or co-op in industry, them make sure you come to a co-op information session. 
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