Top News

TensorFlow: Google Open Sources Their Machine Learning Tool

TensorFlow is a machine learning library created by the Brain Team researchers at Google and now open sourced under the Apache License 2.0. TensorFlow is detailed in the whitepaper TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. The source code can be found on Google Git.

How Airbnb Uses Net Promoter Score to Predict Guest Rebooking

Net Promoter Score (NPS) is a customer loyalty metric used to determine the likelihood that a customer will return to a company's website or use their service again. Airbnb uses NPS extensively in measuring the customer loyalty, as a more effective measurement to determine the likelihood that a customer will return to book again or recommend the company to their friends.

MongoDB Hits 3.2 and Becomes Enterprise Ready

MongoDB recently announced the newest version of its NoSQL database synonymous product. Building upon the new features introduced in 3.0 release, 3.2 is expanding and solidifying MongoDB's interest towards the corporate world.

Top Articles

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

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.

Using Redis as a Time Series Database: Why and How

In this article, Dr. Josiah Carlson, author of the book "Redis in Action", explains how to use Redis and sorted sets with hashes for time series analysis.

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

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.

Big Data Processing with Apache Spark - Part 2: Spark SQL

Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL.

Top Presentations & Interviews

Ground-up Introduction to In-memory Data

Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.

Modeling Complex Game Economy with Neo4j

Yan Cui shares lessons learned using Neo4j to model the in-game economy of the "Here Be Monsters" game and automate the balancing process.

Working with Databases & Groovy

Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.

Supercharging Operations and Analytics: Using Spring XD to Support Analytics and CEP

Joseph Paulchell discusses the journey from batch-oriented processes using databases to a real-time data streaming solution and the significant benefits achieved as well as the challenges encountered.