Category Archives: Use Case

How-to: Process and Index Medical Images with Apache Hadoop and Apache Solr

Categories: CDH Guest Search Use Case ZooKeeper

Thanks to Karthik Vadla, Abhi Basu, and Monica Martinez-Canales of Intel Corp. for the following guest post about using CDH for cost-effective processing/indexing of DICOM (medical) images.

Medical imaging has rapidly become the best non-invasive method to evaluate a patient and determine whether a medical condition exists. Imaging is used to assist in the diagnosis of a condition and, in most cases, is the first step of the journey through the modern medical system.

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Inside Santander’s Near Real-Time Data Ingest Architecture (Part 2)

Categories: HBase Kafka Use Case

Thanks to Pedro Boado and Abel Fernandez Alfonso from Santander’s engineering team for their collaboration on this post about how Santander UK is using Apache HBase as a near real-time serving engine to power its innovative Spendlytics app.

The Spendlytics iOS app is designed to help Santander’s personal debit and credit-card customers keep on top of their spending, including payments made via Apple Pay. It uses real-time transaction data to enable customers to analyze their card spend across time periods (weekly,

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The Barclays Data Science Hackathon: Using Apache Spark and Scala for Rapid Prototyping

Categories: Guest Spark Use Case

In this guest post, members of the Barclays Advanced Data Analytics Team describe the results of an offsite hackathon to develop a recommendation system using Apache Spark.

In the depths of the cold, wet British winter, the Advanced Data Analytics team from Barclays escaped to a villa on Lanzarote, Canary Islands, for a week to collaboratively solve a key business problem: how to design a better customer experience. We framed the problem in the context of using customer shopping behavior data to build a personalized recommender system.

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Genome Analysis Toolkit: Now Using Apache Spark for Data Processing

Categories: Data Science Spark Use Case

Users of the latest release of the Genome Analysis Toolkit, an open source framework for analyzing high-throughput DNA sequencing data, can now choose Apache Spark for data processing.

Ever since the Human Genome Project produced the first draft sequence of the human genome in 2000, the cost of sequencing has dropped exponentially, from around US$100 million per genome then to around US$1,000 today. Over the same period, we have seen massive growth in the storage and processing capabilities of big data technologies like Apache Hadoop.

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Inside’s Data-driven, Real-time Rules Engine

Categories: CDH Guest Use Case

In this post, engineers from, the online game developer and publisher, describe the design of their real-time recommendation engine built on CDH.

The scope of activities at extends far beyond the development of games. We work on dozens of internal projects simultaneously, and our Data-driven Real-time Rules Engine (DDRRE) is among the most ambitious.

DDRRE is a system that analyzes large amounts of data in real time,

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