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
Which programming language should you pick for your machine learning or deep learning project? These are your best options
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
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
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
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
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
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
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
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
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
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?
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