InfoQ Homepage Database Content on InfoQ
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Monitoring SRE's Golden Signals
Golden signals are increasingly popular these days due to the rise of SRE. This article outlines what golden signals are, and how to monitor and use them in the context of various common services.
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Polyglot Persistence Powering Microservices
At Netflix, the cloud database engineering team is responsible for providing several flavors of data persistence as a service to microservice development teams. Roopa Tangirala explained how her team has created self-service tools that help developers easily implement the appropriate data store for each project's needs.
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GDPR for Operations
With GDPR, taking care of personal data is an organisation-wide responsibility, but in the operations we can provide a lot of supporting tools to help deal with the multiple facets of this problem.
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Why and How Database Changes Should Be Included in the Deployment Pipeline
Eduardo Piairo on why databases and applications should coexist in the same deployment pipeline and different scenarios and steps to achieve it.
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What Do Data Scientists and Data Engineers Need to Know about GDPR?
Andrew Burt on the implications of GDPR on data collection, storage and use for any organization dealing with customer data in the EU. Burt explains what's the minimum an org needs to pass the GDPR test, as well as how to take the opportunity to improve their overall data governance.
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JPA 2.2 Brings Some Highly Anticipated Changes
Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.
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Introducing Obevo: Get Your Database SDLC under Control
In this article, we will describe how Obevo, Goldman Sachs' recently open-sourced DB Deployment utility, helped many of our enterprise applications get their databases under SDLC control.
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FPGAs Supercharge Computational Performance
Originally used in the development of new hardware, new, cloud-based FPGAs are making the technology more accessible. The dramatic improvements in speed and lower costs over traditional CPUs means more companies can start benefiting from the technology. FPGAs are fundamentally concurrent, which makes them an ideal tool for data-intensive, parallel processing problems.
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Big Data and Big Money: The Role of Data in the Financial Sector
When we consider the 3Vs of big data— volume, velocity, and variety—it is hard to think of many sectors whose requirements fit so nicely into the guidelines at finance.
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Video Stream Analytics Using OpenCV, Kafka and Spark Technologies
What is the role of video streaming data analytics in data science space. Learn how to implement a motion detection use case using a sample application based on OpenCV, Kafka and Spark Technologies.
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Apache Beam Interview with Frances Perry
InfoQ Interviews Apache Beam's Frances Perry about the impetus for using Beam and the future of the top-level open source project and covers the thoughts behind the programming model as well as some of the touch-points in integration with other data engineering tools like Apache Spark and Flink.
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Introducing FaunaDB Serverless Cloud
FaunaDB Serverless Cloud is the managed version of FaunaDB, a serverless, object-relational, globally replicated, strongly consistent, temporal database, that can be deployed on multiple clouds, such as AWS, GCP, and Azure, or on premises.