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How to choose a cloud IoT platform

Your cloud IoT platform must monitor IoT endpoints and event streams, analyze data at the edge and in the cloud, and enable application development and deployment.

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Review: Google Cloud Vertex AI irons out ML platform wrinkles

Vertex AI greatly improves the integration of Google Cloud’s AI/ML platform and AutoML services, combining a new unified API with very good modeling capabilities.

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How to choose the right data visualization tools for your apps

Charting APIs have their place, but embedded analytics platforms are often a better way to create interactive, visual experiences in your applications.

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30 top SaaS companies for business

These leading SaaS providers offer IT management, business management, marketing, productivity, collaboration, and other applications from the cloud.

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What’s new in Kubernetes 1.22

The latest release of the popular open source system for running containerized applications brings Server-side Apply out of beta and improves support for Windows hosts.

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How to choose a cloud database

Transactional cloud databases come in all shapes and sizes, from simple key-value stores to planet-scale distributed relational databases. Here’s how to choose the right cloud database for your application.

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How to choose a low-code development platform

Low-code and no-code development platforms allow developers and in some cases non-technical users to produce apps faster and at lower cost than traditional programming. Here’s how to select the right low-code or no-code tool for the...

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Rust tutorial: Get started with the Rust language

How to get your feet wet using Rust’s tool chain, creating projects, working with third-party code, and managing libraries.

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Get started with Anaconda Python

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science.

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How to choose a cloud-based CI/CD platform

Hosting CI/CD in the cloud can both speed up interactions between development pipelines and source code repositories and make life easier for developers.

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Dataiku review: Data science fit for the enterprise

Dataiku’s end-to-end machine learning platform combines visual tools, notebooks, and code to address the needs of data scientists, data engineers, business analysts, and AI consumers.

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11 tips for speeding up Python programs

Python programmers have many options for improving the performance of their apps. Here’s where to start.

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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.

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Review: 7 Python IDEs go to the mat

Which Python IDE is right for you? Here’s how IDLE, Komodo, LiClipse, PyCharm, Python extension for Visual Studio Code, Python Tools for Visual Studio, and Spyder stack up in capabilities and ease of use.

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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.

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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.

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8 great Python libraries for natural language processing

With so many NLP resources in Python, how to choose? Discover the best Python libraries for analyzing text and how to use them.

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Rust vs. Go: How to choose

Do you want execution speed or developer speed? Memory safety or easy concurrency? Here’s how to decide between Rust and Go.

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