该供应商编写的技术底漆已经被网络世界编辑，以消除产品推广，但读者应该注意到它可能会倾向于提交者的做法。有个足球雷竞技app
Today, databases are the primary system of record, and organizations are required to keep an accurate picture of all the facts, as they occur. Unfortunately, traditional databases are only temporal and cannot provide a truly accurate picture of your business at different points-in-time.
哪些组织今天所需要的，特别是在受管制的行业，是双时态数据支持。随着双时态数据库，可以存储并带有时间戳的两个有效时间，当事实发生在现实世界（“你知道什么”）沿着两条时间线查询数据，并且还系统时间时，这一事实被记录到数据库（“当你知道它”）。
Today, more and more organizations need time-based insight—which also helps organizations with security and data governance because they are keeping a better handle on historical data. Only with a bitemporal database can organizations maintain a complete and accurate picture of the past to understand exactly who knew what and did what, when.
A bitemporal database is much more powerful than a temporal database because it allows you to query across system and valid time axes. You can go back in time and explore data, manage historical data across systems, ensure data integrity, and do complex bitemporal analysis with ease. For example, temporal database can answer, “Where did John Thomas live on August 20th？”However, a bitemporal database can answer, “Where did John Thomas live on August 20thas we knew it on September 1st？”
Bitemporal works by ingesting bitemporal documents that are managed as a series of documents with element range indexes for valid and system time axes. Documents are stored in any number of protected collections that are controlled by security permissions. The initial document inserted into the database is kept and never changes, allowing you to track the provenance of information with full governance and immutability.
这里有一些问题，以帮助您确定是否应该调查双颞数据库技术：
*Can you afford to lose historical data about your business?在我们的巨额违规罚款和耗时，昂贵的诉讼的年龄，一个数据库必须托起记录的主系统。不幸的是，传统的数据库不要让过去的，他们基本上失去了数据的完整历史。金融公司一直在使用的双颞侧能力的领先优势，他们作为模型的双时态数据管理的好处。例如，双颞帮助大型金融企业更好地管理他们的数据，使他们能够以新的监管和审计作出回应，并更好地管理他们的风险。
*Are there cases when historical data needs to be updated?Any company that must update historical data would benefit from bitemporal support. For example, in the financial trading business, trades can be amended after they are made. If there is no time-based record of these changes, future analysis of trading positions could be compromised—and organizations could face major fines by regulators. With a unitemporal database, updates overwrite historical data, which can introduce enormous risk to both individual traders and entire companies. Bitemporal design provides an accurate picture of the entire lifecycle of a trade review, including when changes to counter-party names, transaction IDs or price corrections occurred.
* Are you in an industry that requires presentation of historical data to regulators?我们生活在一个越来越调控的时代，没有消减的迹象，和许多大型组织都不得不经历巨大变化。金融服务业为一体，已使自2008年金融危机相当大的变化，但组织在所有行业中看到了对历史数据增加了通话。双时态使企业能够保持数据的历史，包括对数据所作的更改，所以很容易收集和现在审计和其他用途所需的信息。
* Are you in an industry in which the sequence of events--and the recording of those events--is critical to security and intelligence, as well as to overall strategy?许多，如果不是全部，行业可以受益于双颞支持。在医疗行业，例如，双颞侧能力，可以为患者提供的历史更加准确地了解和帮助连接的疾病，它的上级之间的点点滴滴。同样，政府情报和执法机构可以使用数据库与双颞侧支持，使看似不相干的数据的意义，使他们能够更好地理解动机和更好的预测未来的事件。企业可以进入这个数据来确定客户的模式和行为，为新产品和服务的战略发展。
*是存储，访问和保护历史数据增加的成本和复杂性？While the cost per gigabyte of data is decreasing, organizations today are spending more on storing historical data because they are dealing with so much more of it. Organizations tend to hoard data in general, but regulations often demand it. Bitemporal data management helps keep storage in check because it avoids the need to set up additional databases for historical data.
*是管理，访问和保护历史数据成为压倒你的数据库开发的复杂性？开发商只是希望能够编写可以轻松地访问历史数据的查询。如果不实现双时态，你是不是跟踪历史数据的重要组成部分，开发商将不能问数据的某些问题。此外，它可以很复杂，传统的数据库来管理不同的时间线和版本，将在开发者带来额外的负担，并保持数据的任务数据库管理员。双时态的设计有助于简化数据访问，因为它的简单得多。
*贵公司是否考虑数据治理的全貌？There is an aspect of bitemporal data management that is important to data governance. Bitemporal helps companies improve the security of their data in one key way: If you’re using a traditional approach to managing historical data, you’re going to be making lots of copies of your data warehouse at different points in time and storing that data offline somewhere. The more copies of your data, the more vulnerabilities you’re introducing. With bitemporal, you’re creating a more streamlined, simple approach to maintaining historical data because your data is all in one place. That means you don’t have to keep track of all these copies of data floating around, which helps improve your overall data governance.
最后，双时态数据管理比历史数据大约多。这是关于强大的数据管理整体。战略必须到位保持数据治理的各个方面：安全性，保密性，血统，种源，数据质量，合规性，生命周期管理等。因此，了解像双颞侧相对简单的功能如何可以是数据治理的全貌非常关键重要的是，每一个组织今天的需求，并且可以运行到如果它忽略了陷阱。