InfoQ Homepage Database Content on InfoQ
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NoSQL Like There is No Tomorrow
The authors take a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases to the Dynamo days to the world of managed services like DynamoDB.
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Introduction to Data Science
Bryan Nehl makes an introduction to the data science: data formats, ETL tools, NoSQL databases, languages, libraries, techniques and approaches for exploring data and extracting value from it.
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An Introduction to Spring Data
Frank Moley introduces Spring Data and how to use it for applications connected to either RDBMS or NoSQL databases.
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Persistence: A View from Stratosphere
Stefan Edlich discusses big data systems -Spanner, Presto- and the future of data persistence, data analytics, data formats and of NoSQL/NewSQL in general.
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Leveraging Big Data for Payment Risk Management
John Canfield discusses the changing payment ecosystem, innovations in mining and organizing unstructured data from many sources, and approaches to deciding for loss minimization and user experience.
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Graph Search: The Power of Connected Data
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.
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Not Just ORM: Powerful Hibernate ORM Features and Capabilities
Brett Meyer demos using multiple-tenancy, geographic data, auditing/versioning, sharding, OSGi, and integration with Hibernate.
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How Shutl Delivers Even Faster Using Neo4J
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
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Have You Seen Spring Lately?
Josh Long introduces some of the latest Spring features supporting HATEOAS-compliant and OAuth-secured REST services, NoSQL and Big Data, Websockets, OAuth, open-web security and mobile.
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Building an Enterprise PaaS
Dave McCrory discusses what it takes to build an Enterprise Platform as a Service, covering data services, design principles, CI, monitoring, coding standards, dependencies, security, and deployment.
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Big Data in Capital Markets
The authors present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software.
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A/B Testing + Continuous Delivery = Everyday Product Launches
Nellwyn Thomas discusses how Etsy is using A/B testing, how Etsy's data-driven culture has evolved over time and how continuous delivery and big data can coexist.
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