iCATccT2015
 
Short Courses
 

Course 1 Full Day

The Resiliency of the Cloud Paradigm: the End-to-End Perspective

Course Leader

Dr. Pethuru Raj, Infrastructure Architect, IBM Global Cloud Center of Excellence, IBM India, Bangalore.

Date/Time

29-October-2015, Thursday, 10:00 - 18:00

Fee

Rs. 2000 (local) / USD 200 (overseas)
(includes, Certificate, short course kit, buffet lunch & tea/coffee network session)

Who Should Attend

This course is intended for business and information technology workers such as, Business Analysts/ IT Specialists – security – infrastructure – services – systems – testing; Business Managers/ Business Process Owners / Consultants/ Sales; and Service Providers/ System Integrators/ Architects/ Developers.
This short course will help the participants to: Define the common terminology used in cloud computing; Identify the cloud computing and cloud services from a business perspective; Explain the different deployment models in cloud computing; Able to list the steps to successfully adopt cloud computing services; Identify the organizational capabilities and the clud benefit; List the impact and changes of cloud computing on IT service management; and Identify the issues associated with integrating cloud environment into an organization’s existing framework.


Course 2 Full Day

Introduction to Big Data & Analytics

Course Leader

Ms. Revathy Padmanaban, Big Data Automation Consultant, Big Data Assurance Unit, Tata Consultancy Services (TCS) Limited, India


Date/Time

31-October-2015, Saturday, 10:00 - 18:00

Fee

Rs. 2000 (local) / USD 200 (overseas)
(includes, Certificate, short course kit, buffet lunch & tea/coffee network session)

Who Should Attend

This course is designed for anyone who:
wants to understand big data landscape;
wants to analyze enormous amounts of data;
wants to work in Hadoop and its eco-system components, and
have a programming background and want to take career to next level.



               Limited seats, on first-come first-serve basis.           



Course 1

The Resiliency of the Cloud Paradigm: the End-to-End Perspective

Course Leader

Dr. Pethuru Raj
Infrastructure Architect, IBM Global Cloud Center of Excellence, IBM India, Bangalore.





         

Abstract
The Cloud paradigm is on the fast track these days as it has the exemplary potential to emerge as a boon for the sagging and struggling IT industry to bring in the much-needed business agility, acceleration and automation. The cloud idea is the culmination of the cool convergence of several enterprise-class technologies. In other words, the cloud concept is a kind of technology cluster. Virtualization, service oriented architecture (SOA), scores of matured computing models (utility, cluster, grid, autonomic, etc.), a bevy of automation tools for job scheduling, capacity planning, resource provisioning and management, load balancing, and security, performance engineering and enhancement, etc. are the principal hallmarks of the powerful cloud discipline. Thus the cloud journey has started on a strong note and it is being projected that the cloud idea is to blossom and become the core, central and cognitive environment for hosting all kinds of applications and platforms. In this short course, we are to learn the beginning, the journey thus far, the trends emanating in this field, the future, etc.


Course Outline

  1. An Introduction to the Cloud Computing
    • What is Cloud Computing? Why it matters?
    • Traditional IT Infrastructures Vs Cloud Infrastructures
    • Cloud Infrastructure and Cloud Advantages
    • The Virtualization Paradigm
    • Cloud Computing – All the Background Information (the beginning, the formalization, the noteworthy milestones, the accomplishments thus far, etc.)
    • The IT Transformation, Optimization, Simplification and Standardization via the Cloud Concepts
    • The Elasticity and Economy of Clouds
    • The Lean and Green Computing through Clouds
    • The Key Drivers and Motivations for the Grand Success of the Cloud Paradigm
    • The Cloud Journey (Cloud 1.0 & Cloud 2.0)
    • The Use, Technical and Business Cases
    • The Cloud Realization Technologies
    • The Prevailing Challenges and Risks
    • A Demo of how a Cloud environment functions

  2. The Cloud Paradigm for the Real-world Things
    • The Cloud Management Frameworks (OpenStack)
    • The Cloud Delivery & Deployment Models
    • The Generic as well as Specific Clouds
    • The Cloud Networking and Storage Aspects
    • The Cloud Load balancing, Security, Active Directory (AD) / LDAP, etc.
    • The Industry Verticals Profitably leveraging the Cloud Innovations
    • Clouds as the Core, Central, and Cognitive Platform for the Smarter Planet
    • The Role of Cloud in the Internet of Things (IoT), Cyber Physical System (CPS) and Smarter Environments
    • The Prominent Application Domains wherein the Cloud Field started to bear fruits
    • A Demo on Device, Sensor and Mobile Clouds
  3. Cloud Platforms, Tools, Tips and Techniques
    • The Auto-Scaling Techniques
    • Cloud Integration for Hybrid Clouds
    • The Cloud Brokerage Services and the Platforms
    • The Research Activities on Cloud Computing
    • The Cloud Modernization and Migration Steps
    • The Cloud Patterns & Practices
    • The Cloud Adoption Strategy-making Tips
    • Cloud-Enablement and Cloud-Native Applications
    • A Demo on Application Design, Development, Debugging, Deployment and Delivery
  4. The Emerging and Evolving Trends
    • Software-defined Cloud Environments (Cloud 3.0)
    • Software-defined Infrastructure (SDI)
    • Software-defined Networking (SDN)
    • Software-defined Storage (SDS)
    • The Cloud Skills Matrix (Technology and Technical Competencies)
    • A Demo on the future of Clouds
    • Docker Containers on Cloud Infrastructures
    • Cloud Configuration and Orchestration Platforms


Who Should Attend

This course is intended for business and information technology workers such as, Business Analysts/ IT Specialists – security – infrastructure – services – systems – testing; Business Managers/ Business Process Owners / Consultants/ Sales; and Service Providers/ System Integrators/ Architects/ Developers.

This short course will help the participants to: Define the common terminology used in cloud computing; Identify the cloud computing and cloud services from a business perspective; Explain the different deployment models in cloud computing; Able to list the steps to successfully adopt cloud computing services; Identify the organizational capabilities and the clud benefit; List the impact and changes of cloud computing on IT service management; and Identify the issues associated with integrating cloud environment into an organization’s existing framework.


Course 2

Introduction to Big Data & Analytics

Course Leader

Ms. Revathy Padmanaban
Big Data Automation Consultant, Big Data Assurance Unit, Tata Consultancy Services (TCS) Limited, India




         

Abstract
Big data is data that surpasses the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the limits of your database architectures. To process and get insights from this data, we must choose an alternative way to process it.The hot IT catchphrase, big data has become feasible as cost-effective approaches have now emerged to tame massive data. Within this data lies valuable information, previously hidden because of the amount of work required to extract them. To leading corporations, such as Walmart or Google, this power has been in reach for some time, but at fantastic cost. Today’s commodity hardware, cloud architectures and open source software bring big data processing into the reach of the less resourced. Big data processing is eminently feasible for even the small garage startups, who can cheaply rent server time in the cloud.The value of big data to an organization falls into two categories: analytical use and enabling new products. Big data analytics can reveal insights hidden previously by data too costly to process. The past decade’s successful web startups are prime examples of big data used as an enabler of new products and services. This short course will focus on the concept of big data technologies and business analytics with its strategic importance to any organization. Participants will be introduced to the concept of business analytics with big data technologies: Hadoop, Hive and HBase.


Course Outline

  1. Introduction to Big Data & Analytics
    • What is Big Data?
    • Characteristics of big data
    • Traditional data management systems and their limitations
    • Big Data Analytics
    • What is Hadoop?
    • Why is Hadoop used?
    • The Hadoop eco-system
    • Big Data/Hadoop use cases
  2. Hadoop - HDFS
    • HDFS Architecture
    • HDFS internals and use cases
    • HDFS Daemons
    • Basic Hadoop commands
    • Hands-on exercise
  3. Hive
    • Understanding Hive
    • Using Hive command line interface
    • Basic DDL operations
    • Hands-on examples
  4. HBase
    • HBase overview
    • HBase architecture
    • HBase data access
    • Overview of Zookeeper
    • Hands-on exercise


Who Should Attend

This course is designed for anyone who:

  • wants to understand big data landscape;
  • wants to analyze enormous amounts of data;
  • wants to work in Hadoop and its eco-system components, and
  • have a programming background and want to take career to next level.

 
 
 
 
 
 
 
 
 
 
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