Data Architecture

Data Architecture

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How to explain data meshes, fabrics, and clouds

Empowering data-driven organizations requires the right tools and practices—and a boss who gets it. Here's how to explain critical data concepts to your CEO.

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How to get started with event-driven microservices

Event-driven microservices are an excellent way to deliver both historical and new data to all of the systems and teams that need it, but they come with additional overhead and management requirements. Start small.

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Doing data warehousing the wrong way

If data pipelines and streams are the future, why are we still thinking of data as static?

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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.

distributed / decentralized cloud network connections

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.

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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.

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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.

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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.

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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

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

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

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

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

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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...

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

The Essential Guide to Microservices

How to create modern Web and mobile applications that scale.

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

Public cloud megaguide: Amazon, Microsoft, Google, IBM, and Joyent compared

The top five public clouds pile on the services and options, while adding unique twists