Netezza Online Training and Certification

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Keen Technologies providing online training solutions on IBM NETEZZA . In the training program, you will also learn advanced database administration skills for the IBM Netezza Appliance.
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  • 1. IBM NETEZZA ONLINE TRAINING TRAINING PROGRAM BY KEEN IT To request free demo session please mail us at or call us at 9989754807 Page 1
  • 2. About Us Keen IT Technologies Pvt Ltd. is one of the leading IT training Institutions, located in Hyderabad with the objective of providing a Training services for various requirements in IT industry. We deliver corporate trainings as per the student requirements colonize and innovator of global eLearning solutions and providing technology enabled online training for individuals and corporate educators. We have highly talented faculty in their respective courses. We furnish with online training given us an edge on numerous Technologies. Page 2
  • 3. OVERVIEW IBM Netezza Training is the single most important factor that will influence your success with the data warehouse appliance. Our courses will provide you with the knowledge, skills and experience required to develop, administer and operate successfully within the IBM Netezza system environment. These comprehensive training courses will provide the opportunity for extensive hands-on experience for the database administrator, system administrator, developer and data warehouse architect. Page 3
  • 4. IBM Netezza Analytics provides a game-changing experience for Data Scientists by allowing data miners and quantitative analysts to use all the data while still achieving high performance throughout the entire modelling cycle: from data preparation through exploratory data analysis through to model scoring and deployment. By taking advantage of the massively parallel processing architecture of an IBM Netezza Appliance, analytics can be performed in-database so that there is no superfluous data movement. Page 4
  • 5. This harnesses the full power of IBM Netezza Appliance and allows data miners and quantitative analysts to greatly reduce the time to build and deploy or score a model in a single environment while using increasing massive data sets and shrinking the time from model concept to deployment. This course focuses on how to effectively exploit the IBM Netezza Analytics platform to build, test, and score analytic models in-database. Participants in this course learn how to use: Page 5
  • 6. In-Database Analytics fully scalable and parallelized  In-database analytics package  R, the open source statistical language, that runs on Netezza  Matrix Engine, a parallelized, linear algebra package. OBJECTIVES  Understand how the IBM Netezza architecture and parallel processing capabilities supports modelling and analysis paradigms on large-scale data sets Page 6
  • 7.  Understand data mining methods in the context of use cases to solve common business problems  Apply new approaches to modelling and analysis made possible by IBM Netezza Analytics  Use Netezza Analytics data mining methods and statistical functions using the R client, or IBM Netezza SQL (NZSQL), or both Page 7
  • 8. Who needs ? This advanced course is for:  Database Administrators  Application Developers  System Administrators  Data Warehouse Architects Page 8
  • 9. PREREQUISITES  You should have the following background:  Basic understanding of using advanced analytics (statistics, data mining, and so on) in business problem solutions  Working knowledge of R, SQL, or both  Working knowledge of Unix or Linux  Experience with Shell Scripting  Experience with VI Editing Page 9
  • 10. COURSE CONTENT:  Introductions and course overview  Overview of IBM Netezza Architecture  Getting started with IBM Netezza Analytics  Data exploration  Data mining with IBM Netezza Analytics: Unsupervised learning methods  Data mining with IBM Netezza Analytics: Supervised learning methods  Manipulating large matrices  User-defined analytical processes Page 10
  • 11. IF you want to know more about IBM NETEZZA Online Training Please do not hesitate to call us : Website: Email: Ph: +91 9989754807 Page 11
  • 12. Thank you Page 12
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