The document outlines the main tasks of engineers doing localization testing:
1) Find and extract words/sentences from documents and systems to input files. This involves analyzing file types like documents, HTML files, and Android strings.xml to find linguistic parts.
2) Analyze databases like Oracle, MySQL, and SQLite to identify tables and columns containing language fields and export them to files.
3) Send input files to translators and receive output files back.
4) Push translated files back to systems, either by replacing old linguistic files/folders or updating database fields and records with new translated values.
Cloud computing skepticism - But i'm sureNguyen Duong
The document discusses several topics related to cloud computing including:
- Criticisms of cloud computing from Larry Ellison and others who see it as just repackaged concepts
- Early cloud platforms like Amazon EC2, S3, and Google App Engine
- Uptimes of 99.95-99.9% for cloud providers not meeting enterprise SLAs of 99.99%
- MapReduce being seen as a step backwards from databases by some due to lack of features
- Studies showing parallel databases outperform Hadoop for queries
- High costs of cloud data centers related to infrastructure, power, networking, and underutilization
This document discusses cloud computing concepts and applications in a military context. It defines cloud computing and describes common cloud themes like scalability, on-demand access, and location independence. It outlines business benefits like automation, data intensive computing, and accessibility from any device. The document also discusses DISA's focus on infrastructure/platform capabilities and lists several of DISA's cloud-related efforts.
The document outlines the main tasks of engineers doing localization testing:
1) Find and extract words/sentences from documents and systems to input files. This involves analyzing file types like documents, HTML files, and Android strings.xml to find linguistic parts.
2) Analyze databases like Oracle, MySQL, and SQLite to identify tables and columns containing language fields and export them to files.
3) Send input files to translators and receive output files back.
4) Push translated files back to systems, either by replacing old linguistic files/folders or updating database fields and records with new translated values.
Cloud computing skepticism - But i'm sureNguyen Duong
The document discusses several topics related to cloud computing including:
- Criticisms of cloud computing from Larry Ellison and others who see it as just repackaged concepts
- Early cloud platforms like Amazon EC2, S3, and Google App Engine
- Uptimes of 99.95-99.9% for cloud providers not meeting enterprise SLAs of 99.99%
- MapReduce being seen as a step backwards from databases by some due to lack of features
- Studies showing parallel databases outperform Hadoop for queries
- High costs of cloud data centers related to infrastructure, power, networking, and underutilization
This document discusses cloud computing concepts and applications in a military context. It defines cloud computing and describes common cloud themes like scalability, on-demand access, and location independence. It outlines business benefits like automation, data intensive computing, and accessibility from any device. The document also discusses DISA's focus on infrastructure/platform capabilities and lists several of DISA's cloud-related efforts.