Information Storage and Management v5 Course Overview

Information Storage and Management v5 Course Overview

The Information Storage and Management v5 course is a comprehensive program designed to equip learners with an in-depth understanding of the various aspects of data storage, management, and protection in modern IT environments. This course addresses the transformation of traditional data centers into agile, innovative, and cost-effective storage solutions that support the growing demands of digital transformation.

Starting with the basics of data and information, the course delves into the key characteristics of data centers and the business drivers of digital transformation, including cloud computing, big data, AI/ML, IoT, edge computing, and 5G technologies. It explores the modern data center environment, covering compute systems, hypervisors, VMs, containers, applications, and software-defined data centers.

Learners will gain knowledge on intelligent storage systems, block, file, and object-based storage, storage area networks, IP SANs, FCoE, and NVMe-oF. The course also covers software-defined storage and network, business continuity, data protection, storage infrastructure security, and storage infrastructure management. By the end of the course, participants will be able to apply these concepts to enhance data storage strategies, improve data center efficiency, and ensure robust data security and management.

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Course Prerequisites

Certainly! Here are the minimum required prerequisites for successfully undertaking training in the Information Storage and Management v5 course:


  • Basic understanding of computer operations, including knowledge of hardware components and their functions.
  • Familiarity with general networking concepts, such as network architecture and data transmission.
  • Awareness of fundamental concepts of data storage, such as files and databases.
  • Comfort with the use of operating systems, primarily Windows and/or Linux.
  • An interest in learning about data center technologies and modern data storage systems.

Please note that while a background in IT or related fields can be beneficial, it is not mandatory. The course is designed to build upon foundational knowledge and guide you through advanced storage concepts.


Target Audience for Information Storage and Management v5

Information Storage and Management v5 is a comprehensive course tailored for IT professionals focusing on data center and storage technologies.


  • Data Center Managers


  • Storage Administrators


  • IT Managers and Consultants


  • Cloud Infrastructure Engineers


  • Big Data Analysts and Architects


  • AI/ML Specialists


  • Network Engineers


  • Systems Engineers and Architects


  • Virtualization Specialists


  • Disaster Recovery and Business Continuity Planners


  • Security Professionals and Cybersecurity Analysts


  • IT Professionals seeking to learn about modern storage systems


  • Technical Support Engineers


  • Data Protection and Compliance Officers


  • IT Students and Academics interested in data management technologies


  • Professionals working on, or moving to, software-defined data center environments


  • Enterprise Architects designing IT infrastructure


  • Project Managers overseeing data center migrations and upgrades


  • Technical Sales Professionals and Pre-sales Engineers in IT companies




Learning Objectives - What you will Learn in this Information Storage and Management v5?

Introduction to the Learning Outcomes of Information Storage and Management v5 Course

This course provides a comprehensive understanding of modern data center technologies, storage systems, and key aspects of digital transformation.

Learning Objectives and Outcomes

  • Understand the role of data and information in digital transformation and the key characteristics of a modern data center.
  • Identify the business drivers that are influencing the shift to cloud computing, big data, AI/ML, IoT, edge computing, and 5G technologies.
  • Gain knowledge of various compute systems, hypervisors, virtual machines (VMs), and container technologies in a modern data center environment.
  • Explore the architecture and management of Software-Defined Data Centers (SDDC) and Converged/Hyper-Converged Infrastructures (CI/HCI).
  • Learn about intelligent storage systems, including types, components, RAID, storage provisioning, and tiering.
  • Differentiate between block, file, and object-based storage systems, and understand the principles of unified storage.
  • Acquire insights into Storage Area Network (SAN) fundamentals, focusing on Fibre Channel (FC) SAN architecture, zoning, and SAN virtualization.
  • Understand IP SAN, Fibre Channel over Ethernet (FCoE), and the emerging NVMe over Fabrics (NVMe-oF) technologies.
  • Comprehend the key attributes and architectures of Software-Defined Storage (SDS) and Software-Defined Networking (SDN), along with their benefits.
  • Grasp the essentials of business continuity, data protection strategies, storage infrastructure security, and effective storage infrastructure management.

Technical Topic Explanation

Data centers

Data centers are centralized facilities that house computing and networking equipment to collect, store, process, and distribute large amounts of data. They are essential for the operations of big enterprises and the internet, managing applications, data storage, and communications. Proper management and certification, such as Dell EMC ISM (Information Storage and Management) certification, are essential in ensuring these centers operate efficiently and securely, handling data with proficiency and mitigating risks associated with data loss or breaches. These certifications validate the skills needed to maintain complex data center operations.

IoT

The Internet of Things (IoT) refers to a vast network of devices connected to the internet, each gathering and sharing data. From everyday objects like watches and refrigerators to complex industrial tools, IoT enables these devices to communicate and interact over the internet, and they can be remotely monitored and controlled. This connectivity helps to enhance efficiency, enable new services, and improve decision-making through the aggregation and analysis of transmitted data. IoT is transforming how we interact with technology, making our environments smarter and more responsive to our needs.

Cloud computing

Cloud computing is a technology that allows individuals and businesses to access computing resources like servers, storage, databases, networking, software, and intelligence over the Internet (“the cloud”). This enables users to scale their IT resources up or down as needed, reducing the cost of managing and maintaining their IT systems. Often, cloud services are provided on-demand, so companies pay only for what they use, contributing to efficiency and flexibility in operations. Cloud computing supports a wide range of applications, enhancing collaboration and accessibility, making it a dynamic and essential aspect of modern computing environments.

Big data

Big data refers to extremely large datasets that are difficult to manage and analyze using traditional data processing methods. These datasets are often used to uncover patterns, trends, and insights in various domains like business, healthcare, and technology. As the volume of data continues to grow, expertise in fields such as information storage and management becomes crucial. This is why certifications such as Dell EMC ISM (Information Storage and Management Certification) and other storage management certifications are valuable, equipping professionals with the skills needed to efficiently handle and analyze big data.

AI/ML

AI (Artificial Intelligence) is a field of computer science that focuses on creating machines capable of performing tasks that typically require human intelligence. These tasks include problem-solving, recognizing speech, and making decisions. ML (Machine Learning) is a subset of AI, which involves training a computer model to make predictions or take actions based on data. ML enables computers to learn from and adapt to new data without being explicitly programmed. These technologies are integral in data analysis, automating complex processes, and enhancing the decision-making capabilities of machines in real-world applications.

Edge computing

Edge computing is a technology that processes data near the source where it is generated, rather than sending it across long routes to data centers or clouds. This approach reduces latency, which is the delay before a transfer of data begins following an instruction for its transfer, and increases speed in data processing. By analyzing data locally, edge computing can enhance the performance of applications, particularly those requiring real-time analysis, and reduce the bandwidth needed, making it highly effective for modern Internet of Things (IoT) environments, smart devices, and mobile computing applications.

5G technologies

5G technology refers to the fifth generation of mobile network technology, following 4G. It provides much faster data download and upload speeds, wider coverage, and more stable connectivity than its predecessor. This technology is key to supporting an array of modern technological innovations such as smart cities, augmented reality experiences, and enhanced broadband. Additionally, 5G is designed to support a vast increase in the number of connected devices, enabling better implementation of the Internet of Things (IoT). This enhanced connectivity is expected to drive innovation across various industries, including healthcare, transport, and manufacturing.

Compute systems

Compute systems refer to the hardware and software components that enable a computer to function and process data. These systems encompass central processing units (CPUs), memory, storage devices (like hard drives or SSDs), and the software that manages these resources. The overall performance and efficiency of compute systems depend on how well these components work together. Advances in technology continuously shape the development of compute systems, enhancing their capacity for handling extensive data processing and complex computing tasks in diverse applications spanning from personal devices to large-scale enterprise environments.

Hypervisors

Hypervisors, or virtual machine monitors, are software, firmware, or hardware that create and run virtual machines (VMs). They allow multiple operating systems to share a single physical host machine. Each VM operates independently with its own virtual hardware. There are two types of hypervisors: Type 1, which runs directly on the host's hardware, and Type 2, which runs on a host operating system. Hypervisors are crucial for server virtualization in data centers, enabling efficient resource management and isolation between different virtual environments. They enhance system security, flexibility, and resource utilization.

Containers

Containers are a technology that allows you to package and isolate applications with their entire runtime environment, meaning all the necessary code, libraries, and dependencies are together. This ensures the application runs quickly and reliably from one computing environment to another. Similar to how shipping containers (which have standardized sizes) allow goods to be transported efficiently by ships, trains, and trucks, software containers help developers move their software easily between different machines or servers, streamlining development and deployment processes. Containers support both Linux and Windows applications and offer a lightweight alternative to virtual machines.

Software-defined data centers

A Software-defined Data Center (SDDC) is a data storage facility where all infrastructure elements — networking, storage, CPU, and security — are virtualized and delivered as a service. Control of the data center is fully automated by software, meaning hardware configuration is maintained through intelligent software systems. This approach allows organizations to operate more efficiently, with greater flexibility and scalability, and can enhance data management capabilities while reducing physical complexity. The transition to SDDC can be facilitated by pursuing training such as the Dell EMC ISM certification or other information storage and management certifications focusing on storage management.

Intelligent storage systems

Intelligent storage systems use advanced technologies to automatically manage and optimize data storage. They incorporate machine learning and artificial intelligence to analyze, predict, and respond to storage needs, ensuring efficient data management and accessibility. These systems improve reliability and performance, minimizing manual intervention. Gaining expertise in this field often involves certifications such as the Dell EMC ISM (Information Storage and Management) certification, which covers concepts and practices crucial for professionals managing modern data center environments. This certification ensures that individuals understand and can implement intelligent storage solutions effectively.

Object-based storage

Object-based storage is a method for organizing data by packaging it within containers known as objects. Each object includes the data itself, metadata providing information about the data, and a globally unique identifier. Unlike traditional file storage that organizes data into a hierarchy of files and folders, object-based storage places all objects at the same level and retrieves them via their unique identifier. This approach allows for highly scalable and accessible data storage, ideal for handling large volumes of unstructured data across various locations. It’s particularly suited for cloud storage environments, making data management more efficient and flexible.

Storage area networks

Storage area networks (SANs) are specialized, high-speed networks that provide access to consolidated block-level data storage. They are designed to enhance storage devices, such as disk arrays and tape libraries, that are accessible to servers so that the devices appear to the operating system as locally attached devices. SANs improve storage efficiency and performance, making them vital for complex network systems and data-intensive applications. They are commonly used in data centers and by enterprises to manage large volumes of data effectively and securely. SANs also support important data management tasks such as archiving, backup, and recovery.

IP SANs

IP SANs, or IP Storage Area Networks, utilize the Internet Protocol (IP) to enable data storage networks. They efficiently connect storage devices, such as hard drives and tape libraries, with servers, ensuring that these devices appear to the server as locally attached. This setup allows multiple servers to share storage pools, enhancing storage utilization and simplifying management. IP SANs are particularly suitable for businesses looking for cost-effective ways to store large amounts of data while maintaining high performance and reliability. They are essential for applications that require quick access to storage across wide network areas, including remote backup and disaster recovery.

Software-defined storage

Software-defined storage (SDS) is a technology that separates the management and configuration of storage hardware from the physical storage devices themselves. This allows storage resources to be managed and automated using software policies, enhancing flexibility and scalability. SDS helps in handling the expanding data requirements without being tied to specific hardware, resulting in cost savings and improved data management efficiency. This approach is integral for professionals aiming to enhance their expertise and value in technology sectors, highlighted by certifications such as Dell EMC ISM and other storage management certifications.

Business continuity

Business continuity refers to an organization's ability to maintain essential functions during and after a crisis has occurred. This strategy involves planning and preparing to ensure that the company and its business operations can quickly recover from any disruption, whether it's a natural disaster, cyber-attack, or any other emergency. The aim of business continuity planning is to minimize downtime and ensure that critical operations continue, safeguarding the organization's assets, reputation, and overall sustainability. This includes maintaining and restoring business processes, systems, data, and workforce availability in order to continue achieving business objectives.

Data protection

Data protection is the safeguarding of important information from corruption, compromise, or loss, ensuring that data remains secure, private, and available when needed. It involves various strategies and technologies to prevent unauthorized access to databases, websites, and other storage systems. Techniques include the use of software solutions for data encryption, secure data storage practices, and regular backups. Strong data protection measures are vital for maintaining the integrity and confidentiality of sensitive information, mitigating the risks of data breaches, and complying with regulations designed to protect personal and corporate data.

Storage infrastructure security

Storage infrastructure security involves protecting data at rest, in transit, and during processing within data storage systems from unauthorized access, corruption, or theft. This is crucial in organizations where sensitive data must be securely managed and compliant with regulations. Effective security requires a combination of encryption, access controls, and regular audits to ensure that data remains secure. Certifications such as the Dell EMC ISM (Information Storage and Management) can validate professional expertise in these critical areas, helping individuals and organizations maintain robust, secure storage environments.

Target Audience for Information Storage and Management v5

Information Storage and Management v5 is a comprehensive course tailored for IT professionals focusing on data center and storage technologies.


  • Data Center Managers


  • Storage Administrators


  • IT Managers and Consultants


  • Cloud Infrastructure Engineers


  • Big Data Analysts and Architects


  • AI/ML Specialists


  • Network Engineers


  • Systems Engineers and Architects


  • Virtualization Specialists


  • Disaster Recovery and Business Continuity Planners


  • Security Professionals and Cybersecurity Analysts


  • IT Professionals seeking to learn about modern storage systems


  • Technical Support Engineers


  • Data Protection and Compliance Officers


  • IT Students and Academics interested in data management technologies


  • Professionals working on, or moving to, software-defined data center environments


  • Enterprise Architects designing IT infrastructure


  • Project Managers overseeing data center migrations and upgrades


  • Technical Sales Professionals and Pre-sales Engineers in IT companies




Learning Objectives - What you will Learn in this Information Storage and Management v5?

Introduction to the Learning Outcomes of Information Storage and Management v5 Course

This course provides a comprehensive understanding of modern data center technologies, storage systems, and key aspects of digital transformation.

Learning Objectives and Outcomes

  • Understand the role of data and information in digital transformation and the key characteristics of a modern data center.
  • Identify the business drivers that are influencing the shift to cloud computing, big data, AI/ML, IoT, edge computing, and 5G technologies.
  • Gain knowledge of various compute systems, hypervisors, virtual machines (VMs), and container technologies in a modern data center environment.
  • Explore the architecture and management of Software-Defined Data Centers (SDDC) and Converged/Hyper-Converged Infrastructures (CI/HCI).
  • Learn about intelligent storage systems, including types, components, RAID, storage provisioning, and tiering.
  • Differentiate between block, file, and object-based storage systems, and understand the principles of unified storage.
  • Acquire insights into Storage Area Network (SAN) fundamentals, focusing on Fibre Channel (FC) SAN architecture, zoning, and SAN virtualization.
  • Understand IP SAN, Fibre Channel over Ethernet (FCoE), and the emerging NVMe over Fabrics (NVMe-oF) technologies.
  • Comprehend the key attributes and architectures of Software-Defined Storage (SDS) and Software-Defined Networking (SDN), along with their benefits.
  • Grasp the essentials of business continuity, data protection strategies, storage infrastructure security, and effective storage infrastructure management.