InfoQ Homepage Database Content on InfoQ
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/articles/applied-probability-unstructured-events-theta-sketches/en/smallimage/applied-probability-unstructured-events-theta-sketches-s-1593199758266.jpg)
Applied Probability - Counting Large Set of Unstructured Events with Theta Sketches
In this article, author Ronen Cohen discusses the solution to processing the event data using Theta Sketches and technologies like HBase and Kafka.
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State at the Edge: an Interview with Peter Bourgon
Building upon topics in his talk at QCon London, Peter Bourgon answers questions about edge computing, distributed data, and the complexity of synchronization.
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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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2020 State of Testing Report
The 2020 State of Testing report provides insights into the adoption of test techniques, practices, and test automation, and the challenges that testers are facing. It shares results from the 2020 testing survey organized by Joel Montvelisky from PractiTest, and Lalit Bhamare from Tea-Time with Testers.
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/articles/data-gateways-cloud-native/en/smallimage/data-gateways-cloud-native-s-1588679812633.jpg)
Data Gateways in the Cloud Native Era
Data Gateways act like API Gateways but focus on access to the data aspect. A Data Gateway offers abstractions, security, scaling, federation, and contract-driven development features. There are many types of Data Gateways, from the traditional data virtualization technologies, to light GraphQL translators, cloud-hosted services, connection pools, and fully open source alternatives.
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/articles/edge-computing-streaming-data/en/smallimage/edge-computing-streaming-data-s-1586865838285.jpg)
Is Edge Computing a Thing?
Edge Computing is definitely a thing, but the computing need not occur at the edge. Instead what is needed is an ability to compute (anywhere) on streaming data from large numbers of dynamically changing devices, in the edge environment. This in turn demands an architectural pattern for stateful, distributed computing.
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Privacy Architecture for Data-Driven Innovation
This article lays out how you build an internal data governance architecture early in the ingestion phase, which enables you to allocate risk to data and identify such data in your systems. You can then protect the data accordingly. The second half of this article lays out various techniques to share data in a privacy-conscious manner.
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Book Review: Developer, Advocate!
Developer, Advocate! is a set of interviews with prominent technologists, covering what drives their interest and enthusiasm in the industry. The brevity of each interview provides direct information and insight that can be read separately at any time, in any order, enabling those with busy schedules to read, put down, and repeat.
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/articles/EF-Core-Nullable-Reference-Types/en/smallimage/Preparing-Entity-Framework-Core-for-Static-Analysis-and-Nullable-Reference-Types-logo-1578049875497.jpg)
Preparing Entity Framework Core for Static Analysis and Nullable Reference Types
In this article we walk through the process of updating an EF Core 3.1 based DAL to adhere to modern best practices such as TreatWarningsAsErrors, FxCopAnalyzers, and C# 8’s nullable reference types.
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/articles/redis-time-series-grafana-real-time-analytics/en/smallimage/use-redis-timeseries-with-grafana-for-real-time-analytics-logo-small-1573477936722.jpg)
How to Use Redis TimeSeries with Grafana for Real-Time Analytics
In this article, author Roshan Kumar discusses how a purpose-built database like RedisTimeSeries can be used to manage time-series data. He also shows how to visualize this data in a Grafana dashboard.
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Q&A on the Book Real-World Bug Hunting
The book Real-World Bug Hunting by Peter Yaworski is a field guide to finding software vulnerabilities. It explains what ethical hacking is, explores common vulnerability types, explains how to find them, and provides suggestions for reporting bugs while getting paid for doing so.
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/articles/postgres-handles-more-than-you-think/en/smallimage/Postgres-Handles-More-than-You-Think - logo-1569306137327.jpg)
Postgres Handles More Than You Think
Thinking about scaling beyond Postgres with a data store like Redis or Elasticsearch? Think again before adopting a complex infrastructure. Postgres can scale for heavy loads and offers powerful features which are not obvious at first sight. For example, it's possible to enable in-memory caching, text search, specialized indexing, and key-value storage. Article