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Julien Nioche on StormCrawler, Open-Source Crawler Pipelines Backed by Apache Storm

by Alexandre Rodrigues on  Dec 15, 2016

Julien Nioche, director of DigitalPebble, PMC member and committer of the Apache Nutch web crawler project, talks about StormCrawler, a collection of reusable components to build distributed web crawlers based on the streaming framework Apache Storm. InfoQ interviewed Nioche, main contributor of the project, to find out more about StormCrawler and how it compares to other similar technologies.

Facebook's Comparison of Apache Giraph and Spark GraphX for Graph Data Processing

by Srini Penchikala on  Dec 09, 2016

A Facebook team has recently published a comparison of the performance of their existing Giraph-based graph processing system with the newer GraphX which is part of the popular Spark framework. Their conclusion is that GraphX is neither sufficiently scalable or performant to support their graph processing workloads.

Julien Le Dem on the Future of Column-Oriented Data Processing with Apache Arrow

by Alexandre Rodrigues on  Dec 08, 2016 1

Julien Le Dem, the PMC chair of the Apache Arrow project, presented on Data Eng Conf NY on the future of column-oriented data processing. Apache Arrow is an open-source standard for columnar in-memory execution. InfoQ interviewed Le Dem to find out the differences between Arrow and Parquet.

Couchbase 4.6 Developer Preview Released, Adds Real-Time Connectors for Apache Spark 2.0 and Kafka

by Alexandre Rodrigues on  Nov 28, 2016

Couchbase 4.6 Developer Preview features full text search improvements, cross data center replication with globally-ordered conflict resolution and connectors for real-time analytics technologies: one for Spark 2.0 and the other for Kafka.

Spark Summit EU Highlights: TensorFlow, Structured Streaming and GPU Hardware Acceleration

by Alexandre Rodrigues on  Nov 13, 2016

Apache Spark integration with deep learning library TensorFlow, online learning using Structured Streaming and GPU hardware acceleration were the highlights of Spark Summit EU 2016 held last week in Brussels.

Microsoft Releases Data Science Tools for Interactive Data Exploration and Modeling

by Srini Penchikala on  Nov 07, 2016

Microsoft recently released two new data science tools for interactive data exploration: modeling and reporting. These tools can be reused by data science teams with data specific tasks in their projects. The goal is to ensure consistency and completeness of data science tasks across different projects in the organization.

Microservices and Stream Processing Architecture at Zalando Using Apache Flink

by Srini Penchikala on  Oct 31, 2016 1

Javier Lopez and Mihail Vieru spoke at Reactive Summit 2016 Conference about cloud-based data integration and distribution platform used for stream processing in business intelligence use cases. Their solution is based on technologies such as Flink, Kafka and Elasticsearch.

Wolfram Wants to Deliver “Computation Everywhere” with New Private Cloud

by Richard Seroter on  Oct 26, 2016

Wolfram, the software company behind computation-centric products like Mathematica and Wolfram|Alpha, shipped a new private cloud appliance targeting companies that want to centralize their computational efforts.

Stream Processing and Lambda Architecture Challenges

by Alexandre Rodrigues on  Oct 19, 2016 4

Lambda architecture has been a popular solution that combines batch and stream processing. Kartik Paramasivam at LinkedIn wrote about how his team addressed stream processing and Lambda architecture challenges using Apache Samza for data processing. The challenges described are the late arrival of events and the processing of duplicated messages.

Jay Kreps on Distributed Stream Processing with Apache Kafka and Kafka Streams

by Srini Penchikala on  Oct 16, 2016

Apache Kafka and Kafka Streams frameworks help with developing stream-centric architectures and distributed stream processing applications. Jay Kreps, CEO of Confluent, gave the keynote presentation on stream processing and microservices at Reactive Summit 2016 Conference last week.

Reactive Summit 2016 Conference: Reactive Microservices and Staging Data Pipelines

by Srini Penchikala on  Oct 08, 2016

Reactive microservices, data center scale operating system (DCOS), and staging reactive data pipelines were the highlighted topics at Reactive Summit 2016 Conference held this week. InfoQ team attended the conference and this post is a summary of the first day's events at the conference.

Confluent Announces Kafka for the Enterprise with Multi-Datacenter Replication

by Srini Penchikala on  Oct 05, 2016

Confluent Enterprise latest version supports multi-datacenter replication, automatic data balancing, and cloud migration capability. Confluent, provider of the Apache Kafka based streaming platform, announced last week the new features for Confluent Enterprise, to help build streaming data pipelines and develop stream processing applications.

Amazon Kinesis Analytics is Like SaaS for Big Data Analysis

by Elton Stoneman on  Sep 14, 2016

Real-time analysis of event streams has a new focus in Big Data platforms, both on-premise and in the cloud. AWS have released Amazon Kinesis Analytics, a rival to Azure StreamAnalytics. Both platforms use a simple SQL language for complex querying, and move Big Data analysis into a SaaS-like space.

IBM Creates Artificial Neurons from Phase Change Memory for Cognitive Computing

by Srini Penchikala on  Sep 13, 2016

A team of scientists at IBM Research in Zurich, have created an artificial version of neurons using phase-change materials to store and process data. These phase change based artificial neurons can be used to detect patterns and discover correlations in Big Data (real-time streams of event based data) and unsupervised machine learning at high speeds using very little energy.

Getting the Data Needed for Data Science

by Ben Linders on  Sep 02, 2016

Data science is about the data that you need; deciding which data to collect, create, or keep is fundamental argues Lukas Vermeer, an experienced Data Science professional and Product Owner for Experimentation at Booking.com. True innovation starts with asking big questions, then it becomes apparent which data is needed to find the answers you seek.

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