Operational Data Stream and Batch Processing at Netflix with Mantis

by Dylan Raithel on  Apr 27, 2016

Operational Data Stream and Batch Processing at Netflix with Mantis

Neo4j 3.0 Released with Binary Communication Protocol and Standardised Drivers

by Alex Blewitt on  Apr 26, 2016

Today at GraphConnect Europe 2016, Neo Technology announced the release of Neo4j 3.0, which includes a new binary protocol for transmitting data between server and client, and a new set of standardised drivers for interacting with the database, along with stored procedure support and higher performance and capacity. InfoQ spoke to Neo Technology to find out more.

Google Cloud Machine Learning and Tensor Flow Alpha Release

by Dylan Raithel on  Apr 18, 2016

Late last month Google released an alpha version of their TensorFlow (TF) integrated cloud machine learning service as a response to a growing need to make their Tensor Flow library to run at scale on the Google Cloud Platform (GCP). Google describes several new feature sets around making TF usage scale by integrating several pieces of the GCP like Dataproc, a managed Hadoop and Spark service.

Apache Flink 1.0.0 is Released

by Rags Srinivas on  Mar 24, 2016

InfoQ's Rags Srinivas caught up with Stephan Ewen, a project committer for Apache Flink about the 1.0.0 Release and the roadmap

Databricks Integrates Spark and TensorFlow for Deep Learning

by Dylan Raithel on  Mar 12, 2016

Since announcements late last year about Google open-sourcing TensorFlow, the company’s open-source library for machine learning, and previous coverage at InfoQ, the data-science community has had an opportunity to try out TensorFlow for their own projects.

Funnel Analysis at Twitter for Improving User Engagement

by Srini Penchikala on  Feb 25, 2016

Funnel analysis is used to analyze a sequence of events to help with user engagement on a website or a mobile application. Data Science team at Twitter uses this concept to learn how users interact with user interfaces during sign up or tweeting for improving user engagement with Twitter.

AlphaGo: Google and DeepMind Publish Seminal AI Work

by Dylan Raithel on  Feb 23, 2016

A game simulation at Google's Deep Mind defeated expert humans at Go last month in a breakthrough for AI. Go is considered one of the great unsolved problems in AI.

Benchmarking Netflix Dynomite with Redis on AWS

by Alex Giamas on  Feb 03, 2016

Last year, Netflix Cloud Database Engineering (CDE) team introduced Dynomite. Dynomite is a proxy layer, aiming to turn any non-distributed database into a sharded, multi-region replication aware distributed database system. Now Netflix released a benchmark using Dynomite with Redis in AWS infrastructure.

How Airbnb Uses Net Promoter Score to Predict Guest Rebooking

by Srini Penchikala on  Feb 02, 2016 1

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.

Hazelcast Version 3.6 Features Performance Improvements and Cloud Management

by Victor Grazi on  Jan 25, 2016

Hazelcast has released version 3.6 of their flagship in-memory grid and caching software, featuring numerous performance improvements and new cloud management and container deployment options.

Yahoo Open-Sources DataSketches for Faster Operations Over Streams

by Abraham Marín Pérez on  Jan 20, 2016

Yahoo has open-sourced DataSketches, a library written in Java for stochastic streaming algorithms. DataSketches is able to perform traditionally expensive operations, like counting distinct occurrences of a variable within a stream, using a fraction of time and memory and with a predictable error margin.

Riley Newman on How Airbnb Uses Data Science

by Jérôme Serrano on  Jan 10, 2016

Riley Newman, head of data science at Airbnb, recently published an article describing how the Californian startup defines and uses data science. He explains that data can be seen as the voice of the customers, and data science as an act of interpretation. He also details several initiatives that have been particularly important for scaling data science.

Yahoo! Benchmarks Apache Flink, Spark and Storm

by Abel Avram on  Dec 23, 2015

Yahoo! has benchmarked three of the main stream processing frameworks: Apache Flink, Spark and Storm.

MongoDB Hits 3.2 and Becomes Enterprise Ready

by Alex Giamas on  Nov 25, 2015

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.

IBM Commits to Advance Apache Spark

by Alex Giamas on  Nov 20, 2015

Earlier last month in Las Vegas, at IBM Insight 2015, IBM announced a major commitment to the Apache Spark project. Referring to it as “potentially the most significant open source project of the next decade” tells a lot about how important IBM believes Apache Spark is. With IDC reporting that 80% of cloud applications in the future will be data intensive, Apache Spark can unlock previously...