InfoQ Homepage Infrastructure Content on InfoQ
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Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?
Databases have been around forever with the same shape: you make a request to your data and then you receive an answer. Now, stream processors came along with a different approach: data isn’t locked up, it is in motion. Understand how stream processors and databases relate and why there is an emerging new category of databases that focus on data that stays in place as well as data that moves.
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The End of the Privacy Shield Agreement Could Lead to Disaster for Hyperscale Cloud Providers
The recent ending of the Privacy Shield agreement by the European Court of Justice (ECJ) might impact cloud adoption. This article looks at the demise of this agreement, and possible solutions.
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COVID-19 and Mining Social Media - Enabling Machine Learning Workloads with Big Data
In this article, author Adi Pollock discusses how to enable machine learning workloads with big data to query and analyze COVID-19 tweets to understand social sentiment towards COVID-19.
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From Cloud to Cloudlets: a New Approach to Data Processing?
The growing popularity of small, distributed clouds, or “cloudlets” is an implicit recognition of the limitations of the “traditional” cloud model, and could signal a major shift in the way that data is collected, stored, and processed.
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Web of Things over IoT and Its Applications
We all are more or less familiar with the term IoT, but what is WoT and how does IoT relate to WoT? How much is WoT required in our society? What are the possible applications of WoT? Are there any applications enabling WoT actually in the market? In this article, we will try to explore the answers to these questions.
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Combining DataOps and DevOps: Scale at Speed
DataOps is an extension of DevOps standards and processes into the data analytics world. It's about streamlining the processes involved in processing, analyzing and deriving value from big data.
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Data Leadership Book Review and Interview
Data Leadership book, authored by Anthony Algmin, covers the data leadership topic and how data leaders should manage and govern the data management programs in their organizations. Data Leadership is how organizations choose to apply their energy and resources toward creating data capabilities to influence their business.
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TornadoVM: Accelerating Java with GPUs and FPGAs
The proliferation of heterogeneous hardware represents a problem for programming languages such as Java that target CPUs. TornadoVM extends the Graal JIT compiler to take advantage of GPUs & FPGAs and provides a flexible, high-level model whilst still enabling high performance and features such as live task migration.
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Apache Arrow and Java: Lightning Speed Big Data Transfer
Apache Arrow puts forward a cross-language, cross-platform, columnar in-memory data format for data. It is designed to eliminate the need for data serialization and reduce the overhead of copying.
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Q&A with Galo Navarro on Building an Effective Platform Team
Galo Navarro discusses how to build an effective platform team and scale it to support a large organization. InfoQ recently sat down with Navarro to discuss his approach for building a strong platform team including setting a clear mandate and balancing autonomy of product teams with clear standards.
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The Modern Edge
This article shares stories of how interesting companies are using edge computing in ways you might not expect to solve real problems and help build a better Internet.
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Custom Response Caching Using NCache in ASP.NET Core
NCache is a cross-platform, open-source distributed caching framework from Alachisoft. It is an extremely fast distributed caching framework that is linearly scalable. This article presents a discussion on how we can work with NCache and response caching middleware in ASP.NET Core.