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CRC - KE11587 - DATA CENTER STORAGE : COST-EFFECTIVE STRATEGIES, IMPLEMENTATION, AND MANAGEMENT Organization: CRC
Date: 2016-04-19
Description: It’s about meeting business requirements dependent on data center storage. Spend less, deliver more. Data Center Storage: Cost-Effective Strategies, Implementation, and Management provides an industry insider’s insight on how to properly scope, plan, evaluate, and implement storage technologies to maximize performance, capacity, reliability, and power savings.
PACKT - LEARNING MICROSOFT AZUR - LEARNING MICROSOFT AZURE STORAGE Organization: PACKT
Date: 2017-11-15
Description: Finally, you will use StorSimple to unlock the maximum value from all of your data, and some tools that will help you manage your storage on-and off-premise (Azure), such as AzCopy and Storage Explorer.
PACKT - MICROSOFT AZURE STORAGE E - MICROSOFT AZURE STORAGE ESSENTIALS Organization: PACKT
Date: 2015-08-28
Description: What You Will Learn • Get familiar with Windows Azure Storage Service in terms of architecture and working • Recognize the libraries and tools offered by Azure storage, supporting several popular programming languages • Know how the storage services expose their resources as REST APIs and what client libraries exists to develop against the storage • Gain the understanding of types of Blobs and best ways to upload and retrieve them • Learn how to make use of Tables as a NoSQL data store and how to retrieve, insert, update and delete entities in terms of design patterns • Use Queue storage as a messaging solution for communications between different apps • Create mounted shares and allow legacy systems to access data using the SMB protocol • Get accustomed to deal with faults, monitor storage metrics and logs In Detail With the many advantages of using cloud computing, Azure Storage is a robust platform that helps you shift faster to the cloud by providing scalable, durable and highly available data storage options.
CRC - SOFTWARE-DEFINED DATA INF - SOFTWARE-DEFINED DATA INFRASTRUCTURE ESSENTIALS: CLOUD, CONVERGED, AND VIRTUAL FUNDAMENTAL SERVER STORAGE I/O TRADECRAFT Organization: CRC
Date: 2017-06-14
Description: —Tom Becchetti, Advisory Systems Engineer Greg Schulz has provided a complete ‘toolkit’ for storage management along with the background and framework for the storage or data infrastructure professional or those aspiring to become one.
DOT - 49 CFR PART 563 - EVENT DATA RECORDERS Organization: DOT
Date: 2014-10-01
Description: This part specifies uniform, national requirements for vehicles equipped with event data recorders (EDRs) concerning the collection, storage, and retrievability of onboard motor vehicle crash event data. It also specifies requirements for vehicle manufacturers to make tools and/or methods commercially available so that crash investigators and researchers are able to retrieve data from EDRs.
DOT - 49 CFR PART 563 - EVENT DATA RECORDERS Organization: DOT
Date: 2017-10-01
Description: This part specifies uniform, national requirements for vehicles equipped with event data recorders (EDRs) concerning the collection, storage, and retrievability of onboard motor vehicle crash event data. It also specifies requirements for vehicle manufacturers to make tools and/or methods commercially available so that crash investigators and researchers are able to retrieve data from EDRs Purpose.
DOT - 49 CFR PART 563 - EVENT DATA RECORDERS Organization: DOT
Date: 2015-10-01
Description: This part specifies uniform, national requirements for vehicles equipped with event data recorders (EDRs) concerning the collection, storage, and retrievability of onboard motor vehicle crash event data. It also specifies requirements for vehicle manufacturers to make tools and/or methods commercially available so that crash investigators and researchers are able to retrieve data from EDRs.
CRC - CE6517 - INTRODUCTION TO DATA TECHNOLOGIES Organization: CRC
Date: 2009-02-23
Description: After illustrating how to extract data from a relational database using SQL, the book presents tools and techniques for searching, sorting, tabulating, and manipulating data.
DOT - 49 CFR PART 563 - EVENT DATA RECORDERS Organization: DOT
Date: 2016-10-01
Description: This part specifies uniform, national requirements for vehicles equipped with event data recorders (EDRs) concerning the collection, storage, and retrievability of onboard motor vehicle crash event data. It also specifies requirements for vehicle manufacturers to make tools and/or methods commercially available so that crash investigators and researchers are able to retrieve data from EDRs.
ASHRAE SERVER EFFICIENCY - SERVER EFFICIENCY - METRICS FOR COMPUTER SERVERS AND STORAGE Organization: ASHRAE
Date: 2015-01-01
Description: However, with expanded use of data comes an expansion of data processing equipment—in processing power, in data storage, and in supporting components —along with a potential expansion in the physical and air-handling facilities needed to house the equipment.
SAE - GEIA-HB-0007 - (R) LOGISTICS PRODUCT DATA HANDBOOK - FORMERLY TECHAMERICA SAE GEIA-HB-0007-B Organization: SAE
Date: 2014-02-01
Description: ., MIL-STD-1388-2B) data with emphasis on data transfer (e.g., XML Schemas) versus data storage (e.g., relational tables).
API SPEC 19TT - SPECIFICATION FOR DOWNHOLE WELL TEST TOOLS AND RELATED EQUIPMENT - FIRST EDITION Organization: API
Date: 2016-10-01
Description: Included are the requirements for design, design validation, manufacturing, functional evaluation, quality, handling, storage, and service centers. Tools utilized in downhole well test operations include tester valves, circulating valves, well testing packers, safety joints, well testing safety valves, testing surface safety valves (TSSVs), slip joints, jars, work string tester valves, sampler carriers, gauge carriers, drain valves, related equipment, and tool end connections.
PACKT - BIG DATA FORENSICS - LEAR - BIG DATA FORENSICS – LEARNING HADOOP INVESTIGATIONS Organization: PACKT
Date: 2015-08-24
Description: Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters.
ICAO 9944 - GUIDELINES ON PASSENGER NAME RECORD (PNR) DATA - FIRST EDITION Organization: ICAO
Date: 2010-01-01
Description: The Division adopted Recommendation B/5 that reads as follows: It is recommended that ICAO develop guidance material for those States that may require access to Passenger Name Record (PNR) data to supplement identification data received through an API system, including guidelines for distribution, use and storage of data and a composite list of data elements [that] may be transferred between the operator and the receiving State.
WILEY - STORAGE NETWORKS EXPLAINE - STORAGE NETWORKS EXPLAINED: BASICS AND APPLICATION OF FIBRE CHANNEL SAN NAS ISCSI INFINIBAND AND FCOE 2ND EDITION Organization: WILEY
Date: 2009-01-01
Description: Thus, companies who own 1TB of data today will own 32TB in five years. Storage networks help to tame such data quantities and to manage this data growth efficiently.
NASA-HDBK-0008 CHANGE 1 - NASA PRODUCT DATA AND LIFE-CYCLE MANAGEMENT (PDLM) HANDBOOK Organization: NASA
Date: 2017-08-24
Description: PDLM augments PDM and addresses the acquisition and storage of all program/project data—not just technical data used in the life cycle of a system.
NASA-HDBK-0008 - NASA PRODUCT DATA AND LIFE-CYCLE MANAGEMENT (PDLM) HANDBOOK Organization: NASA
Date: 2012-12-17
Description: PDLM augments PDM and addresses the acquisition and storage of all program/project data—not just technical data used in the life cycle of a system.
PACKT - OPENSTACK CLOUD COMPUTING - OPENSTACK CLOUD COMPUTING COOKBOOK - OVER 100 PRACTICAL RECIPES TO HELP YOU BUILD AND OPERATE OPENSTACK CLOUD COMPUTING, STORAGE, NETWORKING, AND AUTOMATION - FOURTH EDITION Organization: PACKT
Date: 2018-01-29
Description: After that, we delve into OpenStack Object storage and you’ll see how to manage servers and work with objects, cluster, and storage functionalities.
ISO/IEC 19778-1 - INFORMATION TECHNOLOGY - LEARNING, EDUCATION AND TRAINING - COLLABORATIVE TECHNOLOGY - COLLABORATIVE WORKPLACE - PART 1: COLLABORATIVE WORKPLACE DATA MODEL - SECOND EDITION Organization: ISO
Date: 2015-10-15
Description: Any conforming collaborative workplace Data Model instantiation • references Data Model instantiations for both a particular collaborative environment and a particularcollaborative group; • provides its particular identifier that allows this Data Model instantiation to be referenced from other Data Model instantiations; NOTE 3 The ISO/IEC 19778 Data Models and Data Model or Data Model Element instantiations are referenced by ISO/IEC 19780, which provides storage formats for captured communicative contributions, along with contextual data (relationship to other contributions, time sent, authorship, etc.).
CSA ISO/IEC 19778-1 - INFORMATION TECHNOLOGY - LEARNING, EDUCATION AND TRAINING - COLLABORATIVE TECHNOLOGY - COLLABORATIVE WORKPLACE - PART 1: COLLABORATIVE WORKPLACE DATA MODEL Organization: CSA
Date: 2016-01-01
Description: Any conforming collaborative workplace Data Model instantiation — references Data Model instantiations for both a particular collaborative environment and a particular collaborative group; — provides its particular identifier that allows this Data Model instantiation to be referenced from other Data Model instantiations; NOTE 3 The ISO/IEC 19778 Data Models and Data Model or Data Model Element instantiations are referenced by ISO/IEC 19780, which provides storage formats for captured communicative contributions, along with contextual data (relationship to other contributions, time sent, authorship, etc.).

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