White Paper: Data In Science Technologies
The crux of disaster recovery planning is a detailed recovery plan based on a disaster recovery strategy tailored to the HPC environment.
When things go awry, it's important to have a robust, targeted, and well-tested Disaster Recovery Plan.
This whitepaper discusses the development, maintenance and testing of the strategy for a Disaster Recovery Plan in a HPC environment, as well as addressing the following questions:
What are the steps taken by the larger strategic Disaster Recovery Plan which can be invoked to provide a limited set of benefits in a disaster situation?
What are the common challenges faced by HPC Environment for the Disaster Recovery?
What is the main purpose of a Business Continuity and Disaster Recovery Plan?
Download this white paper which examines how Data in Science Technologies solves the problem of Disaster Recovery for a midsize HPC environment running an isolated system for research scientist and learn about:
Top critical factors for the success of an IT Disaster Recovery Planning Process
Requirements analysis in order to define the strategy for a Disaster Recovery Plan
Strategic and tactical steps to provide a Disaster Recovery Solution (Disaster Recovery Strategy Examples) for the Bayesian Information Criterion (BIC) Cluster
This whitepaper outlines the challenges of Intel implementation. Designing an Intel-based computer has become an increasingly complicated process, requiring the developer to overcome the key issues lies in Intel's implementation process: How to implement a series of complex power conversions and sequencing? How to reduce physical footprint for small form factor applications? How to search through hundreds of pages of Intel-supplied documentation for answers to questions? If you want a headache-free way to leverage the power of Intel’s SoC, while eliminating the need for complex power circuit design and reducing time-to-market download this free whitepaper which helps you in taking the complexity out of Intel design.
By: Data In Science Technologies
Leveraging the DataLogger for Metadata Cataloging establishes a singular view of the meaningful attributes for your data and identifies access rights to this data. Data in Science Technologies is proposing the concept of a central Data Catalog called DataLogger, analyzes identified data sets and extracts the metadata into a searchable catalog. Read this informative whitepaper to learn more about how Metadata cataloging helps management make informed compliance decisions around Metadata and data created. It addresses: What are the features provided by DataLogger when it augments with HPC and analytics systems? How does DataLogger help in solving the Data Management issues? How does Data Logging work? What are the research facilities provided by the DataLogger? How research data can be systematically identified with a Data Catalog System? This Whitepaper on '' Importance of Metadata Cataloging'' highlights: Implementation of Data Catalog System Metadata Management Strategy around Research DataLogger Security and Features Taking full control of your Data Management using DataLogger Identifying what data exists in the environment
Virtualization of the data center has proven to be a true IT game-changer, providing increased flexibility and control in managing production workloads, as well as, making disaster recovery easier by representing...