Data Architecture
Data Architecture
Doing data warehousing the wrong way
If data pipelines and streams are the future, why are we still thinking of data as static?
What is a data lake? Massively scalable storage for big data analytics
Dive into data lakes—what they are, how they're used, and how data lakes are both different and complementary to data warehouses.
Is distributed data realistic?
Data everywhere may be the future of cloud-native and edge computing deployments, but the possibilities come with expense and management issues.
What is streaming data? Event stream processing explained
Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping.
5 rules for getting data architecture right
By following these guidelines early in your data architecture process, you can avoid serious problems in the future.
How to choose a cloud data warehouse
Modern data warehouses can query structured data and semi-structured data simultaneously, and even combine historical data and streaming live data for analysis.
Rethinking data architectures for a cloud world
An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data.
3 reasons centralizing your data is a bad idea
Centralizing your data is like painting yourself into a corner. Partition data by services to avoid this common mistake.
Deep Dive
AI, machine learning, and deep learning deep dive
Download this 26-page in-depth guide to AI, machine learning, and deep learning for easy reading at your convenience
Deep Dive
Get started with Angular
A step-by-step guide to installing the tools, creating an application, and getting up to speed with Angular components, directives, services, and routers
Deep Dive
Python megaguide: The best frameworks and IDEs
Only on InfoWorld: A hands-on, in-depth look at 13 Python web frameworks and six Python development toolkits
Deep Dive
Quick guide: Digital transformation and the agile enterprise
Enterprise transformation is hard. But when you build a platform for continuous change, putting new ideas into production becomes a lot easier
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Career hacks: Professional do’s and don’ts for developers
The hot skills to master, the secrets to breaking into management, the career mistakes to avoid -- here's how to refactor yourself as the developer every organization wants
Deep Dive
Deep Dive how-to: Office 365 document sharing
Office 2016, OneDrive, and Office 365 together offer powerful document collaboration capabilities across Windows, MacOS, iOS, Android, and the web -- but only if you set them up and manage them properly. This how-to guide walks you...
Deep Dive
Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM
Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits
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The Essential Guide to Microservices
How to create modern Web and mobile applications that scale.
Deep Dive
The essential guide to PowerShell for Windows, Windows Server, and Exchange
Make the most of Microsoft’s command line by mastering the nuances of the PowerShell language
Deep Dive