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.
Oracle Database 21c review: The old RDBMS is new again
Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning.
Ahana Cloud for Presto review: Fast SQL queries against data lakes
Ahana Cloud for Presto turns a data lake on Amazon S3 into what is effectively a data warehouse, without moving any data. SQL queries run quickly even when joining multiple heterogeneous data sources.
8 ways to jump-start your machine learning
From exploratory data analysis to automated machine learning, look to these techniques to get your data science project moving — and to build better models.
Data wrangling and exploratory data analysis explained
Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.
BlazingSQL review: Fast ETL for GPU-based data science
BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.
How to choose a cloud serverless platform
From AWS Lambda and Azure Functions to Knative and OpenFaaS, we have at least a dozen functions-as-a-service platforms to choose from. Here’s how to navigate the options.
Review: AWS AI and Machine Learning stacks up, and up
Amazon Web Services provides an impressively broad and deep set of machine learning and AI services, rivaling Google Cloud and Microsoft Azure.
InfoWorld’s 2021 Technology of the Year Award winners
InfoWorld celebrates the year’s best products in software development, cloud computing, data analytics, and machine learning.
Review: Microsoft Azure AI and Machine Learning aims for the enterprise
Microsoft Azure combines a wide range of cognitive services and a solid platform for machine learning that supports automated ML, no-code/low-code ML, and Python-based notebooks.
How to merge data in Python using Pandas merge
Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.
Review: DataRobot aces automated machine learning
DataRobot’s end-to-end AutoML suite not only speeds up the creation of accurate models, but can combine time series, images, geographic information, tabular data, and text in a single model.
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