Ian Pointer

Ian Pointer is a senior big data and deep learning architect, working with Apache Spark and PyTorch. He has more than 15 years of development and operations experience.

The 5 best programming languages for AI development

What’s new in Apache Spark? Low-latency streaming and Kubernetes

What’s new in Apache Spark? Low-latency streaming and Kubernetes

Continuous processing and native Kubernetes support in Apache Spark 2.3 spell the end for micro-batching and Hadoop

PyTorch tutorial: Get started with deep learning in Python

PyTorch tutorial: Get started with deep learning in Python

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library

DIY GPU server: Build your own PC for deep learning

DIY GPU server: Build your own PC for deep learning

Building your own GPU server isn't hard, and it can easily beat the cost of training deep learning models in the cloud

Spark tutorial: Get started with Apache Spark

Spark tutorial: Get started with Apache Spark

A step by step guide to loading a dataset, applying a schema, writing simple queries, and querying real-time data with Structured Streaming

What is Apache Spark? The big data analytics platform explained

What is Apache Spark? The big data analytics platform explained

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning

Bossie Awards 2016: The best open source big data tools

Bossie Awards 2016: The best open source big data tools

InfoWorld’s top picks in large-scale search, SQL on Hadoop, streaming analytics, and other flavors of distributed data processing

Had it with Apache Storm? Heron swoops to the rescue

Had it with Apache Storm? Heron swoops to the rescue

Heron, Twitter's brand-new streaming replacement for Apache Storm, offers easier scaling and higher throughput while maintaining Storm code compatibility

Spark 2.0 prepares to catch fire

Spark 2.0 prepares to catch fire

Today, Databricks subscribers can get a technical preview of Spark 2.0. Improved performance, SparkSessions, and streaming lead a parade of enhancements

Look out, Spark and Storm, here comes Apache Apex

Look out, Spark and Storm, here comes Apache Apex

A new open source streaming analytics solution derived from DataTorrent's RTS platform, Apex offers blazing speed and simplified programmability. Let's give it a spin

Apache Beam wants to be uber-API for big data

Apache Beam wants to be uber-API for big data

New, useful Apache big data projects seem to arrive daily. Rather than relearn your way every time, what if you could go through a unified API?

What Spark's Structured Streaming really means

What Spark's Structured Streaming really means

Thanks to an impressive grab bag of improvements in version 2.0, Spark's quasi-streaming solution has become more powerful and easier to manage

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