The Cloud Infrastructure and Services (CIS) course educates participants about cloud deployment and service models, cloud infrastructure, and the key considerations in migrating to cloud computing. For all definitions of cloud computing, the course has resorted to the U.S. National Institute of Standards and Technology as a guide. The course covers technologies required to build classic (traditional), virtualized, and cloud data center environments. These technologies include compute, storage, networking, desktop and application virtualization. Additional areas of focus include backup/recovery, business continuity, security, and management. Students will learn about the key considerations and steps involved in transitioning from the current state of their data center to a cloud computing environment. Upon completing this course, participants will have the knowledge to make informed decisions about migrating to cloud infrastructure and choosing the best deployment model for their organization.
Target Audience:
Experienced IT professionals, who may not have had exposure to the emerging field of Cloud computing
IT professionals responsible for architecting and managing IT infrastructure
Industry-wide IT teams who are directly or indirectly responsible for transitioning their traditional IT infrastructure to the Cloud infrastructure
Students and professionals who are looking to pursue career in Cloud computing
Individuals who are seeking EMC Cloud Associate (EMCCLA) certification
Prerequisites:
Basic understanding of computer architecture, operating system, networking and database
Information Storage and Management (ISM) is the only course of its kind to fill the knowledge gap in understanding varied components of modern information storage infrastructure.It provides a strong understanding of information storage technologies which prepares you to learn advanced concepts, technologies and also enable you to make more informed decisions in an increasingly complex IT environment.You will learn about the architectures, features, and benefits of Intelligent Storage Systems; storage networking technologies such as FC-SAN, NAS, and IP-SAN;long-term archiving solution – CAS; business continuity solutions such as backup and replication,the increasingly critical area of information security, and the emerging field of storage virtualization including storage resource management.The technologies described in the course are illustrated and reinforced with EMC product examples.Realistic case studies enable the participant to design the most appropriate solution for given sets of criteria.
Target Audience:
This course is intended for
Experienced storage professionals who may not have exposure to all of the segments of modern storage infrastructure.
Experienced IT professionals taking on the responsibility to manage storage infrastructure
Students and IT professionals who want to build their career in the storage industry
Organization-wide IT teams who are directly or indirectly responsible for planning, designing, deploying, managing or leveraging information infrastructure.
Individuals who are seeking EMC Proven™ Professional Information Storage and Management Associate (EMCPA) level
certification.
Prerequisites:
Course attendees are expected to have experience with common features of modern computer software. Also helpful are knowledge of mathematics through elementary calculus and experience with computer programming at the level of an introductory course in any computer programming language. No prior Mathematica experience is required for this course.
Course Objectives:
Upon successful completion of this course, participants should be able to:
Evaluate storage architecture; understand logical and physical components of a storage infrastructure including storage subsystems
Describe storage networking technologies such as FC-SAN, NAS, IP-SAN and data archival solution – CAS
Identify different storage virtualization technologies and their benefits
Understand and articulate business continuity solutions including, backup and recovery technologies, and local and remote replication solutions
Define information security, and storage security domains
Identify parameters of managing and monitoring storage infrastructure and describe common storage management activities and solutions
This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. The extensive labs throughout provide many opportunities for students to apply these methods and tools to real-world business challenges as a practicing Data Scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab in which students address a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam, and establishes a baseline of Data Science skills that can be enhanced with additional training and further real-world experience.
Target Audience:
This course is intended for individuals seeking to develop an understanding of Data Science from the perspective of a practicing Data Scientist, including:
Managers of teams of business intelligence, analytics, and big data professionals
Current Business and Data Analysts looking to add big data analytics to their skills.
Data and database professionals looking to exploit their analytic skills in a big data environment
Recent college graduates and graduate students with academic experience in a related discipline looking to move into the world of Data Science and big data
Course Objectives:
Immediately participate and contribute as a Data Science Team Member on big data and other analytics projects by:
Deploying the Data Analytics Lifecycle to address big data analytics projects, Reframing a business challenge as an analytics challenge, Applying appropriate analytic techniques and tools to analyze big data, create statistical models, and identify insights that can lead to actionable results, Selecting appropriate data visualizations to clearly communicate analytic insights to business sponsors and analytic audiences, Using tools such as: R and RStudio, MapReduce/Hadoop, in-database analytics, Window and MADlib functions.
Explain how advanced analytics can be leveraged to create competitive advantage and how the data scientist role and skills differ from those of a traditional business intelligence analyst.
This course will cover in-depth details and considerations for planning, designing, and migrating to Virtualized Data Centers (VDC) and Cloud environments. This course will enable data center technology professionals to design VDC and Cloud infrastructures maintaining the most robust and elastic compute, network, and storage environments. The course will be premised on an ‘open’ architecture focusing on core components, principles, and technologies constituting both VDC and Cloud deployments utilizing best-of-breed EMC examples. This training is designed to be at the forefront of the changing IT landscape as traditional phys ical data centers evolve and morph into virtual entities and cloud environments.
Target Audience:
This course is intended for architects, designers and consultants. Specifically, this course is intended for anyone involved in or engaged in the planning for:
Virtualized data centers: servers , storage, networks, applications and services
Cloud implementations: creation, migration and implementing services
Convergence of traditional data centers to VDC and extension to Cloud infrastructures
Prerequisites:
To understand the content and successfully complete this course, a student must have an understanding of the following technologies and concepts:
The ideal candidate is a technical professional with three or more years of design
experience in storage, operating systems, and networking and the following:
Knowledge and understanding of designing and managing complex systems, networks, and storage with an advent of virtualization, as well as business application knowledge and common business continuity practices and disaster recovery principles.
Highly recommended pre-requisites include skills equivalent to EMCISA, VCP, and CCDA certifications
Course Objectives:
Upon successful completion of this course, participants will be able to:
Describe and differentiate between virtualization and cloud concepts and capabilities including core VDC components and cloud elements.
Describe the overall management strategy of a VDC or Cloud environment
Incorporate and list the critical aspects of cloud services as elements of cloud infrastructure planning
Describe how business process and service requirements will impact VDC and cloud planning and design
Identify key governance, audit and compliance considerations
