InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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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Migrating Batch ETL to Stream Processing: A Netflix Case Study with Kafka and Flink
At QCon New York, Shriya Arora presented “Personalising Netflix with Streaming Datasets” and discussed the trials and tribulations of a recent migration of a Netflix data processing job from the traditional approach of batch-style ETL to stream processing using Apache Flink.
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Exploring the Fundamentals of Stream Processing with the Dataflow Model and Apache Beam
At QCon San Francisco 2016, Frances Perry and Tyler Akidau presented “Fundamentals of Stream Processing with Apache Beam”, and discussed Google's Dataflow model and associated implementation of Apache Beam.
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Playing with Messaging Chatbots in the Omnichannel Contact Center
The proliferation of messaging platforms is forcing companies to shift towards an omnichannel strategy, where they need to be able to contact people in their preferred channel. In this article we will develop an omnichannel messaging chatbot that offers two-way communications over SMS and Facebook using the Twilio Studio visual tool.
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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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Get More Bytes for Your Buck
Lovethesales had to classify one million product data from 700 different disparate sources across a large domain. They decided to create a hierarchy of classifiers through utilizing machine learning, specifically Support Vector Machines. They learned that optimising the way in which the svms were connected together yielded vast improvements in the reuse of labeled training data.
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Approximate Queries on WSO2 Stream Processor: Use of Approximation Algorithms in an Applied Setting
In this article, we describe an example real world application of API monitoring which benefits from using approximate stream processing. We developed the application on top of WSO2 Stream Processor as Siddhi extension. Siddhi is the complex event processing library which acts as the event processing engine of WSO2 Stream Processor.
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Key Takeaway Points and Lessons Learned from QCon San Francisco 2017
The eleventh annual QCon San Francisco was the biggest yet, bringing together over 1,800 team leads, architects, project managers, and engineering directors.
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InfoQ Call for Articles
InfoQ provides software engineers with the opportunity to share experiences gained using innovator and early adopter stage techniques and technologies with the wider industry. We are always on the lookout for quality articles and we encourage practitioners and domain experts to submit feature-length (2,000 to 3,000 word) papers that are timely, educational and practical.
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Understanding Monads. A Guide for the Perplexed
With the current explosion of functional programming, the "monad" functional structure is once again striking fear into the hearts of newcomers. In this article, Introduction to Functional Programming course instructor Dr. Barry Burd clarifies this slippery critter.
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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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Building Reactive Systems Using Akka’s Actor Model and Domain-Driven Design
With the explosion of mobile and data-driven applications, users are demanding real-time access to everything everywhere. System resilience and responsiveness are essential business requirements. Businesses increasingly need to trade up to more flexible, "reactive" systems. To support reactive development, actor models with domain-driven design can fulfill modern resiliency requirements.