Information Storage – Strategies and Solutions Course
Information is the currency of business, research, and other knowledge-based industries. Storing, accessing, and protecting information is critical for organizations and Information Technology professionals are tasked with delivering strategies and solutions. This course will cover the problems and solutions for information storage, explaining the technology employed and the different systems available. The primary initiatives of optimizing IT and changing to a services delivery model are the top-level sections along with solutions for information storage and management. From this course, solutions using storage technologies implemented in products with their architectures, features, benefits and issues will be explored with a goal of understanding a strategy to deal with information demands.
- Information Technology Professionals – exposure to latest technologies and solutions
- Organization-wide teams – responsible for planning, managing, and utilizing information infrastructures
- Business Executives – responsible for business operations, strategy and direction
- Individuals – seeking to learn more about information storage
3 days Infomation Storage – Strategies and Solutions class: €1.500,- ex. BTW (without Evaluator Group documents, research materials and webinar).
3 days Informations Storage – Strategies and Solutions class, including Evaluator Group documents, research materials and webinar: €2.200,- ex. BTW
This is a three days course and scheduled for 3-5 may 2017
Book this course
Please contact us for more information or to book this course. +31 30 658 2131 or email@example.com
IT Demands & Evolution
Section 1: Information Storage – Demands and Evolution
The industry demands for storing information are explored along with the challenges those demands create. There are demands to transform IT into more of a services delivery model. Meanwhile, the traditional IT environment must continue to maintain operations while optimizing the investments in technology meet ongoing needs. The competing initiatives of optimization of IT and transforming to a services delivery model will be laid out for understanding.
Section 2: Transforming to a Service Delivery Model – Private/Hybrid Clouds and IT as a Service
In addition to meeting demands in current data center environments, additional deployments of private and hybrid clouds to achieve IT as a Service (ITaas) characteristics are underway to deliver services in an on-demand manner. The motivations, rational, and methods for private/hybrid clouds are important to understand when creating and implementing a strategy for information storage.
Section 3: Solutions for Private/Hybrid Clouds
For enterprises planning to deploy private and hybrid clouds, there are many different products available and different approached to deliver services with use of both public and private clouds. The different options and their characteristics can be confusing with an overwhelming amount of information available. There are also solutions that are more complete where they delivered as pre-packaged (in-a-box) products with installation and support. The offerings and the value are discussed in this section.
Section 4: Data Center Infrastructure – Integrating Solutions
Different storage technology elements are being integrated to provide solutions for storing and protecting information. Driven by improving the time to deployment, these integrations provide alternatives to the more traditional storage systems available and can be building blocks for cloud environments. This section will examine the different types of integrations including definitions of characteristics and the vendor product offerings. Virtual SANs and clustered storage are included in these discussions.
- Hyper-Converged Systems
- Open Storage Platform
Section 5: Information Storage Technologies
Developing a strategy for employing solutions for Information Storage requires an understanding of underlying storage technologies. This section will delve into the technologies to create a common level of understanding for employing solutions. Included in this technology explanation are:
- Data access methodology
- Storage systems architectures
- Storage networking technologies
- Data reduction technologies – deduplication and compression
- Data availability technologies – data protection, business continuance, replication, and error correction
Section 6: Solid State Storage – Technology
The use of solid-state technology for storage, predominantly Flash, is an inflection point in the industry. Dramatic changes in the economics of systems in acceleration to achieve more value from the overall environment has changed the evaluation in storage selection. This section will explain the technology and the new developments underway that will continue to change the storage landscape. Methods of deployment and evolving data center usage are useful in creating new strategies.
Section 7: Performance – Impact and Measurement
Understanding the factors that impact performance is important in evaluating solutions and making effective decisions for storing and managing information. How to measure performance and interpreting the results is another major input for decisions. These examinations for storage performance and measurement and the factors that have influence are critical in making informed decisions.
Section 8: Block Storage – Implementation and Systems
Accessing stored information from block devices, whether SAN or direct attached is the most basic method employed by storage systems. The different block storage systems offered for enterprises are described with architectures and capabilities along with Evaluator Group’s opinion of strengths and weaknesses. Covered in this section with product explanation and Evaluator Group opinions:
- All flash storage systems
- Hybrid and spinning disk systems
- Integrated / converged systems
Section 9: Storage Virtualization
Abstracting resources from multiple storage systems increases flexibility of data placement and movement, reduces the workload on administration by providing a central point of management for provisioning and control of advanced features, and applies advanced capabilities across a potentially diverse set of storage systems. This section will review the different types for storage virtualization and the product offerings. The characteristics of the systems including strengths and weaknesses are included in the product reviews.
Section 10: Network Attached Systems – File Access
File access to information on shared storage is primarily through Network Attached Storage systems. The approaches for NAS and the different product offerings from vendors are explained along with Evaluator Group analysis of the products.
Section 11: Object Storage Systems
Scaling to large capacities for use as content repositories or online archives is the primary target for object storage systems. Object storage with Ethernet interfaces and support for S3, Swift, and custom protocols are used for both on-premises systems and as systems in cloud environments. The differing implementations for object storage systems are covered in this section along with the major systems available.
Solutions for Information Storage
Section 12: Solutions for Archiving Information
Growing capacity demands and compliance issues are driving interest in the economies gained from archiving data. Creating an online archive requires systems and software to automate the process for effective implementations. Archiving as a practice with features and functions are discussed along with the software and hardware available for solutions.
Section 13: Information Storage and Management
There are many different points for management of information. This section will explain what those management elements are and how they related. Specific to storage, Storage Resource Management (SRM) is used to manage across storage systems and software products to provide a consolidated view and actionable information. The different SRM solutions available will be contrasted.
Section 14: Big Data Analytics
Analyzing large amounts of data in near real-time to arrive at new insights has become very popular with the abundance of newly captured data, much of it from machine to machine. A new discipline has arose from this with massive amounts of storage and processors used by data scientists. Areas such as marketing and sales have been the most visible proponents but many others exist. This section will explain the practice, the solutions for approaches such as Hadoop and their storage implications, and give guidance for IT professionals who may ultimately be responsible for operation.