Article: The Dawn Of Data Ecosystems

Blockchain, Data, Decentralized Internet

The Dawn Of Data Ecosystems

Data ecosystems are interconnected, seamless networks that represent the next phase of data management. They allow companies with common interests to securely and dynamically collaborate around information. For example, a bank could be able to access and confirm the employment details of someone applying for a mortgage without needing to call their employer or see private details beyond what’s absolutely necessary.

The rise of blockchain-secured data ecosystems can eliminate these costs by building trust and integrity directly into the system. Due to the immutable nature of the blockchain ledger, companies can easily prove that they were in compliance at all times. This will save enormous amounts of time and money by essentially automating governance and compliance needs.

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Article: Graph Databases Are An Essential Choice for Master Data Management

Data, Web 3.0

Graph Databases Are An Essential Choice for Master Data Management

There’s no doubt that data stored in graph databases as part of an MDM framework becomes eminently more discoverable and usable, especially in the context of the Semantic Web. They promote interoperability by making it easier to share data with relevant stakeholders, allowing those stakeholders to make data-driven decisions based on accurate, complete, and easy-to-interpret information.

When thinking about moving to a Master Data Management model, companies must prioritize solutions that enable the shift to Web 3.0, also known as the Semantic Web. This is the next generation of the Internet, and it’s being defined by the common semantic standard (W3C) that allows machines to easily communicate with each other.

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Penguin: Exploring the state of open source software testing


Exploring the state of open source software testing

The recently published State of Open Source Testing report – a collaboration between Tricentis, TestProject, SpecFlow, and Flood – was designed to capture a global snapshot of where the software testing industry stands today and track how open source testing trends will evolve in the years to come. The biggest survey of its kind this year, it explores whether there are any universal advantages – or challenges – to opting for open source testing rather than commercial offerings, and the nuances that surface when you take a more targeted look at open source testing across functional testing versus load testing and BDD. And, while some of the survey’s findings emphasised the expected, there were also some surprising statistics that change the general understanding of open source tool adoption in testing, and even the software testing discipline in general.

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