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About GP  
 
Ganapathi Pulipaka is a distinguished technology leader providing innovatory solution architecture on SAP Business systems, Enterprise application development, design engineering, management, data science, machine learning, deep learning, IoT platforms, natural language processing, and consulting delivery services offers expertise in SAP delivery execution and executive interaction as a trusted advisor.    

He started his career as an SAP ABAP Programmer.  He has implemented around 28 SAP projects for Fortune 100 corporations and various other clients in the past 19+ years on next-generation SAP Applications and data analytics providing a comprehensive portfolio of consulting solutions.  He worked for 22 global corporations implementing SAP projects in building Global COE for SAP ERP, CRM, HANA, SRM, SCM, PLM, PPM, and BW NetWeaver  products.  Ganapathi Pulipaka is an SAP Certified Professional.     
   
Ganapathi Pulipaka is PostDoc Research Scholar in Computer Science Engineering, Machine Learning, Big Data Analytics from Colorado Technical University, Colorado Springs, Colorado and PhD in Information Systems and Enterprise Resource Management from California University, Irvine, CA.

# 1   BESTSELLER on Amazon in Paperback, Kindle and Audio Editions. 
# 3 Data Science Influencer on @Twitter for 2017 recognized by Data Analytics
         Company KCore Analytics
# 3 Machine Learning Influencer on @Twitter for 2017 recognized by Data Analytics
        Company  KCore Analytics

 

A New Audiobook on Amazon, iTunes, and Audible - Big Data Appliances for In-Memory Computing - Giveaway - 25 Free Audiobooks for reviewers. 

I am giving away 25 free audiobooks for reviewers.  Contact me.  I will send you the instructions to claim your free audiobook. 

The next frontier in human evolution is big data, in-memory computing, and high-performance computing for building enterprise-grade analytics.  The book is for the broader audience on how big data will shape the future of the industries.  Enjoy the book with your friends and family.  What is common between SAP HANA, SR-71 Blackbird, and Pleiades supercomputer? It is the speed, agility, and off-the-charts dynamic performance.  The book on the cover features, Lockheed Martin’s world’s fastest jet-powered aircraft SR-71.  More in the book.

His latest audiobook Big Data Appliances for In-Memory Computing - A Real-World Research Guide for Corporations to Tame and Wrangle Their Data is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data. The book delves deeper into the research results of industry relevant case studies with the disruption of in-memory computing platform innovation that diffuses high-speed computing and dynamic performance for business applications and explores how these modern big data analytics tools shape the future of academics, aerospace, automotive, consumer goods and beverages, healthcare, government services, high tech, and public sector industries.



Check out the unabridged audiobook on Amazon, iTunes, or Audible.
 
 
 
 
 
 
 
 
   
    


Paperback, Kindle, and Unabridged AudioBook Editions

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Our Services
SAP HANA and Big Data development
SAP Solution Architecture
Research and Development
Ganapathi Pulipaka provides consulting expertise in building the solution architecture, security, governance, risk, compliance, and ABAP software applications for all SAP products. 
Ganapathi Pulipaka is SAP Technology Architect and a research scholar to aid corporations to build Data analytics competency center and big data analytics center for several industries. 
Ganapathi Pulipaka can provide consulting expertise in migrating data into SAP HANA, Data modeling, performance tuning, and connectivity, and development in big data tools. 
Meeting all of your computer software and research needs.