高级分析 SQL 数据库：最快、开放、独立于基础设施
直观搜索和调查解决方案，可以减少安全事件
用户和实体行为分析，可增强现有安全工具，使安全运营团队能够识别并响应数据被盗前的重大威胁
从商业角度自主运维
服务台、配置和资产管理的智能自动化
SQL 分析解决方案，可处理大量数据进行大数据分析
为系统中静态、动态和使用中的敏感数据提供大范围保护
IDOL connects to more data sources than anyone else.
AI and NLP Based Intelligent Text Analysis in real time
AI and ML Image Classification and Analysis in real time
AI and ML Video Classification and Analysis in real time
AI and ML Audio Classification, Analysis, and Speech to Text
Realtime video, image, and audio data Survailace Analytics
Natural Language Porcessing pinpoints the data you need with simplified AI analytics and analysis
Percise semantic answers to natural language search questions
AI Based Intelligent search engine tools to extract deep insights from all of your data
Communicate and engage customers using AI and ML to deliver a human dialogue chatbot.
OEM SDKs unstructured data analytics to developers, reducing risk, time to market, development costs, and maintenance
File format detection, content decryption, text extraction, subfile processing non-native rendering, and structured export
Optimize the flow of work for continuous quality and delivery
Govern quality with rigorous, auditable software lifecycle processes
Combine extensive technology support with AI-driven continuous functional testing
Enable all aspects of SCCM with enterprise grade scalability, security, and compliance
Deliver high-performing applications with continuous performance engineering
Plan, track, orchestrate, and release complex applications across any environment
Find software security issues early and fix at the speed of DevOps
Automate deployments for continuous delivery with drag-and-drop simplicity
Align corporate investments with business strategy
Access a list of all products in application delivery management
面向未来的核心 COBOL 业务应用程序
维护和增强基于 ACUCOBOL 的应用程序
随处提供应用程序访问
维护和增强 COBOL 系统
维护和增强 RM/COBOL 应用程序
将 COBOL 应用程序连接到关系数据库管理系统
实时访问有关 COBOL 数据，产生增值效益
实时访问有关 ACUCOBOL 数据，释放业务价值
将 ACUCOBOL 应用程序连接到关系数据库管理系统
借助 Agile 和 DevOps 实践构建 COBOL 应用程序
跨分布式、容器式或云平台部署 COBOL 应用程序
实现核心业务系统基础架构现代化，以支持未来的创新
自动了解和分析 IBM 大型机应用程序
获取、分析和衡量应用程序组合的价值、成本和风险
构建更改项目包，加速大型机应用程序的开发
构建和管理更改项目包，加速大型机应用程序的开发
提供多个变更管理界面，便于维护大型机应用程序
构建 IBM 大型机 COBOL 和 PL/I 应用程序并实现现代化
支持更快速、更高效的大规模并行开发
推动移动应用程序、云计划、流程自动化以及其他方面的发展
管理大型机文件，加快问题解决的速度
利用灵活的基础架构，轻松测试大型机应用程序变更
比较和管理大型机数据、文本和目录文件
通过自动化部署渠道和缩短反馈时间，衔接 Dev 和 Ops
集中规划和控制整个软件发布生命周期
协调并整合流程，更快地开发和交付软件
检测变更，同步多个环境，恢复出现故障的系统
在 Windows、Linux 和云上执行 IBM 大型机 COBOL 和 PL/I 工作负载
使用 Microsoft .NET 和 Azure 执行现代化 IBM 大型机工作负载
实现桌面和移动设备上 IBM、HP 和 Unix 应用程序访问的现代化
支持 Web 的 IBM 和 VT 应用程序桌面访问权限，无需安装 Java
实现 Unisys 大型机应用程序桌面访问现代化
实现 IBM、HP 和 Unix 应用程序桌面访问现代化
实现 IBM、HP 和 Unix 应用程序桌面访问自动化
Gain access to everything required to successfully integrate the mainframe in your RPA projects
使用 Web 服务和 API 为 IBM、HP 和 UNIX 应用程序创建新的应用程序和工作流
实时利用 Unisys MCP DMSII 数据支持分析平台和业务智能 (BI) 应用程序
使用基于身份的访问控制和数据安全性，集中管理主机访问
在防火墙内外实现安全、加密和自动化的现代化文件传输
了解适用于 z/OS 的 Advanced Authentication 连接器如何为所有 IBM z/OS 端点提供多重身份验证
使用功能全面的 CORBA 产品套件开发和部署应用程序
构建企业级分布式应用程序
使用 C++ 或 Java 开发、部署和支持符合 CORBA 2.6 的中间件
连接各种运营环境中的应用程序
电子邮件、IM、基于聊天功能的团队协作、防病毒、反垃圾邮件、灾难恢复等
从任何设备提供安全文件访问和共享
提供面向当今移动环境的安全电子邮件、日历安排和任务管理
备份和灾难恢复解决方案确保重要电子邮件始终保持可用
含有 7 种必要工具，用于构建您的 IT 基础设施，包括安全文件共享
通过文档管理和工作流程功能，确保安全的小组协作
Protect your network and messaging system from malware, viruses, and harmful content
为企业提供单点登录，为云应用提供联合功能
采用多重身份验证，以更安全的方式保护您的敏感信息
File Reporter 和 Storage Manager 解决方案套件包
File Reporter for OES examines OES network file systems and delivers intelligent file insights so you can make the most intelligent business decisions.
从任何设备提供安全文件访问和共享
防止关键业务系统发生停机和灾难
在储存区域网络上简化资源管理并提升可用性
专为混合 IT 环境打造的文件、打印和储存服务
基于云的端点备份解决方案，包含文件同步与共享和分析
快速轻松地打包、测试和部署容器化 Windows 应用程序
提供集成了许可发放、安装和用量数据的报告
提供自动化端点管理、软件分发、支持等功能
为处于全面保护的设备提供基于身份的安全保护
主动式便携式计算机和台式机数据保护，用于自动锁定威胁
自动实现增补程序评估，并监控增补程序合规性以检测安全漏洞
将您为企业提供 IT 服务的方式进行简化和自动化
集成 7 个产品，帮助跟踪、管理和保护终端设备
Reduce false positives, ensure audit controls, achieve regulatory compliance and save review time.
Streamline compliance with Digital Safe multichannel archiving and supervision
Monitor the breadth of business communications for ediscovery, data governance and regulatory compliance.
Cloud-native, social collaboration-optimized reporting and interactive visual dashboards.
End-users can simply access, search, review and print or download any of their own archived materials.
Manage electronic discovery from ingestion through review – one tool – one technology.
Simplify and optimize compliance through expert-led Managed Cloud Services and Archiving Consulting Services.
Reduce false positives, ensure audit controls, achieve regulatory compliance and save review time.
Streamline compliance with Digital Safe multichannel archiving and supervision
Monitor the breadth of business communications for ediscovery, data governance and regulatory compliance.
Cloud-native, social collaboration-optimized reporting and interactive visual dashboards.
End-users can simply access, search, review and print or download any of their own archived materials.
Manage electronic discovery from ingestion through review – one tool – one technology.
Simplify and optimize compliance through expert-led Managed Cloud Services and Archiving Consulting Services.
Archive email to stay compliant and in control with a central data archive.
Stay compliant with text message archiving of iOS, Android, and BlackBerry devices for your organization.
降低社交媒体渠道中的风险，根据监管规定履行合规性职责
通过数据管理和处置帮助各个组织满足数据隐私监管的法规条款。
满足不断变化的网络数据管理需求
文件分析，旨在发现、分类和自动执行有关非结构化数据的策略
发现正在储存什么数据，以及谁有权限访问这些数据
结构化数据存档，以淘汰过时应用程序和减少数据占用空间
基于身份的数据和访问管理
对所有非结构化数据进行基于 SaaS 的文件分析
Backup and disaster recovery for diverse, dynamic, and distributed enterprise
IDOL connects to more data sources than anyone else.
AI and NLP Based Intelligent Text Analysis in real time
AI and ML Image Classification and Analysis in real time
AI and ML Video Classification and Analysis in real time
AI and ML Audio Classification, Analysis, and Speech to Text
Realtime video, image, and audio data Survailace Analytics
Natural Language Porcessing pinpoints the data you need with simplified AI analytics and analysis
Percise semantic answers to natural language search questions
AI Based Intelligent search engine tools to extract deep insights from all of your data
Communicate and engage customers using AI and ML to deliver a human dialogue chatbot.
File format detection, content decryption, text extraction, subfile processing non-native rendering, and structured export
Close city transportation security gaps to mitigate risk using AI and Machine Learning.
Identify global trends, sentiment, key word mentions, and run AI-powered open source intelligence (OSINT) analysis.
Digital forensics for organizations processing video and image evidence who need to identify, extract facts during an investigation
Automated human-like digital assistant which can engage in natural language dialogues.
AI-powered Brand reputation monitoring and Protection
OEM SDKs unstructured data analytics to developers, reducing risk, time to market, development costs, and maintenance
结合最终用户体验和基于机器学习的高效服务台
首个自主的容器化混合 IT 监视解决方案
实现自动化并管理传统的虚拟软件定义网络
在混合 IT 环境中发现和管理配置项目 (CI)。
简化实施自动化，执行管理
自动化端到端 IT 进程
Manage IT assets for improved costs
实现自动化供应、修补和数据中心合规性
在企业内构建、保护和扩展自动化业务流程
Access a list of all products in IT Operations Management
全面的威胁检测、分析和合规性管理 SIEM 解决方案
一个智能日志管理解决方案，可以减轻合规负担，帮助安全专业人士加速取证调查
全面的日志管理解决方案，可轻松实现合规、高效日志搜索和安全的经济型存储。
下载和部署预打包的内容，从而大大减少时间和管理
面向未来的数据平台，可将混乱的数据转变为安全方面的见解。
用户和实体行为分析，可增强现有安全工具，使安全运营团队能够识别并响应数据被盗前的重大威胁
一个功能全面的可调解决方案，可简化 SIEM 的日常使用
一个全面的安全业务流程自动化响应平台，包括认知自动化、调查服务台、业务流程处理和 SOC 分析等功能。
SaaS-based file analysis on all of your unstructured data
Identify, analyze, and manage your data; then establish policies to protect your data properly and efficiently, in use and throughout its lifecycle, and ensure data preservation.
持久的文件加密、完全控制和可见性，可简化非结构化数据的安全性
保留格式加密、令牌化、数据屏蔽和密钥管理
适用于端到端支付安全的全渠道 PCI 合规和数据保护
面向 PII、PHI 和知识产权的电子邮件、文件和 Office 365 保护
SaaS 云电子邮件加密可保护 Office 365 上的信息
在软件开发生命周期的早期，识别出源代码中的安全漏洞
为复杂的 Web 应用程序和服务提供全面的动态分析
通过扫描结果的集中化管理储存库，获得宝贵见解
从一个界面即可管理您的整个应用程序安全计划
配置和管理对非结构化数据的访问权限
提供具有令人惊叹的可扩展性和敏捷平台的 LDAP 目录
为用户访问提供自动化审核和重新认证，以保持合规
提供一个智能身份管理框架，以便为您的企业提供服务
为企业提供单点登录，为云应用提供联合功能
以一种比使用用户名和口令更安全的方式保护数据和应用程序
适用于所有 IBM z/OS 终端的多重身份验证
将主机与现代安全框架集成
使身份验证和访问权限体验适应当前的风险。
允许用户重置口令，而无需求助 IT
通过单点登录体验，简化企业应用程序的用户鉴定
保护和管理 API 访问权限。
可在不暴露身份凭证的情况下，让 IT 管理员在系统上工作
针对特定用户，限制管理特权和限定目录视图
实施前编辑、测试和审核组策略对象变更
借助 Change Guardian 保护关键数据、降低风险以及管理变更
将 Active Directory 的能力扩展到 Linux 资源
跨多个平台统一并集中管理策略。
借助 Change Guardian 保护关键数据、降低风险以及管理变更
查找并修复导致安全漏洞或停机的配置错误
为 IBM iSeries 系统提供简单的合规审计和实时保护
帮助您在整个 IT 价值链中嵌入安全并推动 IT 运营、应用程序和安全团队之间的协作。
通过企业敏捷性帮助您更快速做出响应并获得竞争优势。
通过咨询、转型和实施服务加速实现您的混合云成果。
凭借我们的应用管理服务，您可以将解决方案管理外包给了解您环境的专家。
战略咨询服务可为您的数字化转换议程提供指导。
一种功能完善的用例建模，可预构建 Micro Focus 软件组合中的集成，展示实际用例
专家安全智能服务可以帮助您快速构建、部署和验证 Micro Focus 安全技术的实施。
这项服务集成和管理服务可在多供应商设置中优化交付、保证和监管。
凭借实时分析和搜索非结构化数据，获得大数据洞察分析。
凭借实时分析和搜索非结构化数据，获得大数据洞察分析。
凭借实时分析和搜索非结构化数据，获得大数据洞察分析。
这些移动服务可确保性能并加快上市速度，同时不影响质量。
凭借实时分析和搜索非结构化数据，获得大数据洞察分析。
提供全面的大数据服务，推动企业向前发展。
The University of Washington (UW) is one of the world’s preeminent public universities. Ranked number 13 in the world on the 2017 Academic Ranking of World Universities, UW educates more than 54,000 students annually.
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UW relies on its Unisys mainframe and DMSII database for key applications, such as financial systems and student information systems. An in-house developed DMSII extraction component was introduced in the mid-1990s to enable more effective operational data access by easily replicating large volumes of mainframe-based data to relational databases, such as SQL Server, Sybase, and Informix. Eliminating customized mainframe reporting, data extraction and file transfer routines saves times, improves the flexibility and quality of the data being made available, and reduces the burden on processing resources. The data is vital for budget setting and analysis, as well as course planning.
After many years of successful operation, when UW upgraded its DMSII system, it ran into unexpected problems. Elizabeth Runkle, Technology Manager for the university, explains the problems: “We were suddenly experiencing issues with replicating compact data sets on the relational database side. Records were dropped and we had a real integrity problem. We also noticed that replication was taking about seven hours after the upgrade. This was unacceptable for us and we suspected some rigorous data reorganization was needed.”
A test of the replication after adding the Micro Focus® Databridge relational database client demonstrated a solution to the data replication integrity issue, and Runkle and the team embarked on a project to introduce Databridge across the board.
Supported by Micro Focus Professional Services, Databridge was implemented on most key systems. Student records are held on the mainframe, and replicated into both an Enterprise Data Warehouse, and a Web Services database where the data can be accessed and provided to campus-consuming applications. The data is strictly regulated and private data is not passed to downstream systems, or it is masked. Transferring the data to more modern systems allows departments to massage, report, and use the data more constructively with Tableau-driven or custom reporting.
Runkle comments: “This flexibility is especially important to us as we need to provide census information at the start of each quarter as part of a federal requirement. During our training with Micro Focus Professional Services we learned that the newest components of Databridge would not only solve our data integrity issues, but it also had the potential to really improve our system performance.”
The team discovered that the new multithreading processes, in conjunction with optimizations of updates provided by customizable filter generation, contributed significantly to increased system throughput. Different stakeholders within the university have different data requirements and the Databridge filter generation capability enables the team to customize the results based on specific requirements to make data interpretation and analysis as easy as possible. Runkle: “We used the new Databridge filter generation code to interpret our data and were able to eliminate the replication of 13 million data rows as a result. This, combined with the Databridge multithreading improvements, gave us a dramatic performance enhancement. By being more intelligent about the data and how it is replicated, we moved from a seven-hour data replication to just 90 minutes for the University of Washington Student Database.”
Over 50 Databridge-managed replications are executed to a variety of SQL Server target databases and continuous audit log tracking is in place. Multiple staff were involved in the Databridge client implementation. Collaborative workshops were held weekly to migrate all applications in a phased manner allowing the team to meet the delivery schedule and budget. Spreading implementation expertise among more employees helps reduce operational risk and the team established great partnerships
The increased processing performance was clear immediately, and one team was particularly pleased, as Runkle comments: “The Student Information Systems team reported receiving the data for the fall quarter initial student account setup in just nine minutes. The previous year the same activity had taken over 11 hours. This meant the data was available for all campus users in the Enterprise Data Warehouse much sooner than before and all the heavy load data activities were processed seamlessly through the end-user databases.”
She concludes: “The speed and reliability of data processing is just amazing. Our stakeholders need their data quickly, especially for federal and college reporting purposes. We are in a continuous audit cycle and need near real-time data which is exactly what Databridge delivers.
The team responsible for the Databridge client implementation received a well-deserved ACE award in recognition of their Achievement, Collaboration, and Excellence. We could not have done this project without the excellent support from Micro Focus as they helped improve our data quality and replication processes, as well as updated our technology.”
The Student Information Systems team reported receiving the data for the fall quarter initial student account setup in just nine minutes. The previous year the same activity had taken over 11 hours.
We used the new Databridge filter generation code to interpret our data and were able to eliminate the replication of 13 million data rows as a result. This, combined with the Databridge multi-threading improvements, gave us a dramatic performance enhancement.
