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The white paper "NoSQL Performance Benchmark: Cassandra, MongoDB, and Couchbase" is no longer available on Infoq.com; However we invite you to explore the related content below.

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Building ML Models is Hard. Deploying Them in Real Business Environments is Harder.

From idea to production system - read the story of how an NLP project in the Ocado contact center improved reply times by up to 4x.

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Faster Operations with the JSONB Data Type in PostgreSQL

Lucero Del Alba takes a look at how to get better performance out of jsonb data types in PostgreSQL.

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Beyond Data Grids: The Advantages of In-Memory Platforms

This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages of in-memory data grids and introduces the GridGain in-memory computing platform. Finally, it presents a deep dive on the capabilities of the GridGain solution.

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Free E-Book - Achieving Continuous Delivery for Databases

This book aims to show how it is possible to adapt many of the techniques used successfully in application development and make them applicable to the specific requirements of databases.

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MongoDB: Production Ready, Cloud Hosted - Try FREE for 30 Days

Compose brings out the best in MongoDB by stripping away the stress of deploying, administering and scaling your databases. We provide a stable, elegant and powerful auto-scaling deployment platform to build your applications upon. Try FREE for 30 Days.

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How to Create and Consume your First Predictive Model

Predictive modeling is a powerful way to add intelligence to your application. Incorporating predictive analytics involves two major phases: model training and model operationalization. In this tutorial, learn how to create a predictive model in R and operationalize it with SQL Server 2016.

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