Prerequisites
It is recommended that a learner have the following knowledge and skills before attending this course:
- knowledge include Cisco Unified Computing System (UCS)
- modern Data Center technologies
- modern data center virtualization technologies
- conceptual understanding of basic scripting
Course Content
This course will enable students to choose and design scalable, reliable, and intelligent data center solutions using Cisco UCS Integrated Infrastructure for Big Data and Analytics (formerly known as CPA for Big Data v4). The course will explain how the reference architectures are carefully designed, optimized, and tested with the leading big data software distributions to achieve a balance of performance and capacity to address specific application requirements. The course will cover big data fundamentals and architecture. Lessons will explore Hadoop, streaming analytics, performance tuning and UCS Director Express for big Data. The student will leave with an introductory understanding the benefits of Cisco UCS Integrated Infrastructure for Big Data and Analytics. Upon completion of this course, you will be able to:
- Describe a high-level overview of big data fundamentals
- Describe big data storage, compute, and data networking architecture
- Introduce Hadoop core components
- Gain working knowledge of Streaming Analytics usage
- Describe the design and sizing of the compute, network, and storage component of Cisco UCS Integrated Infrastructure for Big Data
- Identify the Cisco UCS Integrated Infrastructure for Big Data, understand how Cisco Advanced Services for Big Data supports the Cisco Validated Designs that fit into Cisco CPA for Big Data
- Explain Cisco (UCS) Director Express for Big Data product features, benefits, installation, implementation, and management
Who Should Attend
- Channel Partners
- Customers
- Employees