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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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Microservice Databases: Migrating from Relational Monolith to Distributed Data (By O'Reilly)

Learning how to deal with your monolithic relational databases in a microservices structure is key to keeping pace in a quickly changing workplace. Author Edson Yanaga takes you through nine different strategies for integrating data from your monolithic application to a microservice architecture.

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Introduction to Graph Databases

You may have heard about Graph databases but are they right for you? In this Write Stuff article, Graham Cox looks at the concepts and application of Graph databases.

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Getting Started with Clustering in R

In this tutorial, you will learn how to perform clustering using Kmeans and analyze the results. We will also cover how you can deploy a clustering solution using SQL Server.

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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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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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