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Turning scattered data into something a business can use: pipelines, warehouses, dashboards and analytics.

The service behind this topic: Data platform

Data16 min read

Data compression algorithms explained: lossless, lossy and how to choose

Data compression algorithms remove redundancy to store data in fewer bits. How gzip, Brotli, Zstandard, LZ4 and lossy codecs work, and how to choose.

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AI & automation13 min read

AI-generated data for robotics: how synthetic data trains robots

AI-generated robot training data comes from simulators and generative models. How it is made, how teams measure the sim-to-real gap, and where it fails.

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Data19 min read

Generative AI for databases: text-to-SQL, vector search and safe use

Generative AI for databases turns plain-language questions into SQL and searches data by meaning. How it works, how accurate it is and how to use it safely.

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Data15 min read

Big data analytics explained: how it works, tools, examples and costs

Big data analytics is analyzing data too large, fast or varied for one ordinary database. How it works, the main tools, the four types, costs and governance.

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Data14 min read

The role of IT in healthcare: systems, interoperability and security

How IT runs healthcare: EHR, PACS, portals and telehealth, HL7 FHIR interoperability, the US and EU data-sharing rules, and the security that matters.

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Data18 min read

Building data analytics software: architecture, build vs buy and delivery

How to build data analytics software: ingestion, a warehouse or lakehouse, tested models, a semantic layer, secure embedded dashboards and APIs, in stages.

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