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Spark in Action Book Review & Interview

Posted by Srini Penchikala on  Mar 18, 2016

In Spark in Action book, authors Petar and Marko discuss Apache Spark for data processing batch & streaming data. InfoQ spoke with them about Spark framework, developer tools, and upcoming features.

Unified Data Modeling for Relational and NoSQL Databases

Posted by Allen Wang on  Feb 28, 2016

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling. 5

Sourcing Security Superheroes: Part II: How Policy Can Enhance, Rather Than Hinder, Breach Detection

Posted by Monzy Merza on  Feb 11, 2016

In theory, security policies protect organizations, stakeholders, and users. But in practice, organizations become more concerned with meeting these standards than protecting the business.

Getting Ready for IoT’s Big Data Challenges with Couchbase Mobile

Posted by Ralph Winzinger on  Jan 20, 2016

Our physical world is about to become digitally enabled and according to various predictions, there will be many billions of IoT devices going online and collecting data in the coming years. 1

Big Data Processing with Apache Spark - Part 3: Spark Streaming

Posted by Srini Penchikala on  Jan 07, 2016

In this article, third installment of Apache Spark series, author discusses Apache Spark Streaming framework for processing real-time streaming data using a log analytics sample application. 3

Health Informatics and Survival Prediction of Cancer with Apache Spark Machine Learning Library

Posted by Konur Unyelioglu on  Dec 22, 2015

In this article, author discusses the survival prediction of colorectal cancer as a multi-class classification problem and how to solve that problem using the Apache Spark's MLlib Java API.

Key Takeaway Points and Lessons Learned from QCon San Francisco 2015

Posted by Abel Avram on  Dec 16, 2015

This article summarizes the key takeaways and highlights from QCon San Francisco 2015 as blogged and tweeted by QCon's 1,300 attendees.

Data Lake-as-a-Service: Big Data Processing and Analytics in the Cloud

Posted by Srini Penchikala on  Dec 10, 2015

Data Lake-as-a-Service provides big data processing in the cloud for business outcomes in a cost effective way. InfoQ spoke with Lovan Chetty & Hannah Smalltree from Cazena about these solutions work.

Real-time Data Processing in AWS Cloud

Posted by Oleksii Tymchenko on  Nov 11, 2015

In this article, author discusses a bio-informatic software as a service (SaaS) product which was built as a public data warehousing and analytical platform for mass spectrometry data. 3

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