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.
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 data storage and analytics
InfoWorld’s 2018 Best of Open Source Software Award winners in databases and data analytics
The best open source software for software development
InfoWorld’s 2018 Best of Open Source Software Award winners in software development
The best open source software for machine learning
InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning
Review: Keras sails through deep learning
Keras sequential models make deep neural network modeling about as simple as it can be
Review: MongoDB takes on the world
MongoDB 4.0 beefs up with global cloud clusters, multi-document ACID transactions, and HIPAA compliance
What is CUDA? Parallel programming for GPUs
You can accelerate deep learning and other compute-intensive apps by taking advantage of CUDA and the parallel processing power of GPUs
Go tutorial: Get started with Google Go
Go is a concise, simple, safe, and fast compiled language that trades features for speed. Isn’t it time you gave it a try?
DataStax review: Cassandra made faster and easier
DataStax Enterprise 6 offers greater throughput than Cassandra, lower latency, and useful extras that make it easier to run
Julia tutorial: Get started with the Julia language
Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia
Introducing BigQuery ML for building predictive models with SQL
Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse
PyTorch review: A deep learning framework built for speed
PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs
YugaByte review: Planet-scale Cassandra and Redis
YugaByte DB combines distributed ACID transactions, multi-region deployment, and support for Cassandra and Redis APIs, with PostgreSQL on the way
What is Julia? A fresh approach to numerical computing
A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language
Why use Chef for automation and orchestration
Chef Automate provides a full suite of enterprise capabilities to automate hybrid infrastructure, from delivery to compliance
Kotlin tutorial: Get started with Kotlin
Kotlin can provide huge benefits to developers currently working on Java and Android projects. Here’s how
Why use SaltStack for automation and orchestration
SaltStack is a good choice for very large networks, thanks to its message queue networking and multi-master architecture
Why use Puppet for automation and orchestration
Puppet can scale automation broadly and deeply across traditional and cloud-native infrastructure, and help you keep it compliant
Review: Amazon SageMaker scales deep learning
AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply
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