Martin Heller
Contributing Editor
Martin Heller is a contributing editor and reviewer for InfoWorld. Formerly a web and Windows programming consultant, he developed databases, software, and websites from his office in Andover, Massachusetts, from 1986 to 2010. More recently, he has served as VP of technology and education at Alpha Software and chairman and CEO at Tubifi. Disclosure: He also writes for Hewlett-Packard's TechBeacon marketing website.
Amazon Neptune review: A scalable graph database for OLTP
Amazon’s graph database service offers ACID properties, immediate consistency, and auto-scaling storage for billions of relationships
Machine learning algorithms explained
Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem
Review: Kinetica analyzes billions of rows in real time
GPU database is not only hugely scalable, but integrates graph analysis, location intelligence, and machine learning with standard SQL
AnzoGraph: A graph database for deep analytics
AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs
Review: OmniSci GPU database lifts huge data sets
GPU acceleration of database, rendering, and visualization enables interactive exploration of data sets with billions of rows
Review: Google Cloud AutoML is truly automated machine learning
Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming
Cloud IDE review: AWS Cloud9 vs. Eclipse Che vs. Eclipse Theia
You don’t have to develop locally to get full IDE support. We compare three great tools that let you edit and debug code from a browser
Review: Azure Machine Learning challenges Amazon SageMaker
Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle
InfoWorld’s 2019 Technology of the Year Award winners
InfoWorld editors and reviewers recognize the year’s best software development, cloud computing, big data analytics, and machine learning tools
What is Keras? The deep neural network API explained
Easy to use and widely supported, Keras makes deep learning about as simple as deep learning can be
Review: The 6 best JavaScript IDEs
WebStorm, Visual Studio 2017, Visual Studio Code, NetBeans, Komodo, and Eclipse pull out the stops for JavaScript, Node.js, and friends
Review: The 10 best JavaScript editors
Sublime Text, Visual Studio Code, Brackets, and Atom rise to the top, but several others are also worth considering
Homebrew tutorial: How to use Homebrew for MacOS
The open source Homebrew package manager gives Mac users access to Unix command-line utilities that Apple left out — and a lot more
TigerGraph review: A graph database designed for deep analytics
Highly parallelized and horizontally scalable, TigerGraph shines for use cases that require multi-hop analytic queries
SQL tutorial: Learn SQL on MariaDB
Follow this step-by-step guide to install MariaDB, load data, connect to a database, and execute SQL queries including table joins
Review: MXNet deep learning shines with Gluon
With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models
How to use Knime for data science
Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows
SQL tutorial: Learn SQL on PostgreSQL
Follow this step-by-step guide to install PostgreSQL, load data, connect to a database, and execute SQL queries including table joins
The best open source software for software development
InfoWorld’s 2018 Best of Open Source Software Award winners in software development
-
White Paper
-
White Paper
-
White Paper
-
White Paper
-
White Paper
