We asked Delphix to elaborate upon their DDP, mentioned in this article. Here is what they say about the Dynamic Data Platform…
The data dilemma
Data fuels most business operations today. Delivering it to every stakeholder at the speed, simplicity, and security required for business transformation has become essential for survival within the Software Economy. But businesses are also drowning in it.
Data friction exists because of the opposing forces of data operations and data consumers. Data operators are those that control and manage staggeringly large and complex data sets, data consumers use them. Data consumers need fast, secure access to data sources to drive innovation. This friction inhibits the free flow of data as teams rely on data being passed hand-to-hand from data operators to the teams that need it. Data, therefore, acts as an inhibitor because the data consumers can’t access it when they need to.
Most large retailers are pursing DevOps and Continuous Delivery to improve the pace of delivery, both in terms of data and the applications these teams can subsequently deliver. However, in this ‘need for speed’, employees introduce workarounds that can create risk, such as using subsets or reduced data quality which increases the likelihood of bugs and errors.
Ultimately, the current model for governing and managing data within organisations is inefficient, takes enormous resources to manage and places significant constraints on infrastructure. Applications are slow to market, and internal projects slip because of delays in getting quality data needed for testing. Organisations need to find a way to revolutionise the way data is managed.
About dynamic data platforms
As a result, businesses are looking towards dynamic Data Platforms to resolve their data woes. These platforms virtualise data in databases, application files, and file systems, making it readily accessible to end users in the form of Data Pods. Using Data Pods teams can instantly make data available by automating their delivery. This includes the masking of data de-personalizing it where required. Data Pods can be refreshed and reset on demand, meaning projects can be started and completed faster. By increasing available environments, projects can be run in parallel, increasing productivity. In turn, with shorter cycles, testing can be increased, improving quality and time-to-market speeds, and allowing businesses to achieve competitive advantage they need to lead.
The Delphix dynamic data platform is:
- Fast: Data is provisioned where it is needed in minutes instead of hours, days, or months to enable IT transformation
- Secure: Sensitive data is secured in adherence with security policies and ensure regulatory compliance
- Everywhere: Data is moved and managed seamlessly between source and target environments – whether on-premises, cloud, or hybrid – and quickly and securely provisioned where required
Delphix is changing how data is managed and delivered and presents an incredible opportunity for business. As an example, its Dynamic Data Platform has helped StubHub speed up its release schedules by over 20 per cent by delivering virtual data environments to developers. By making data dynamic, companies have seen dramatically reduced software release times, faster responses to regulatory and compliance changes and the ability to quickly and efficiently move applications to the cloud.