Mireo Blog

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Mireo SpaceTime – an absurdly fast moving objects database

A high-speed, moving objects database provides remarkable analytical tools speed, sometimes outperforming other solutions by three orders of magnitude.

Big Data analytics in fighting and preventing the spread of COVID-19

Governments and institutions are considering using Big Data analysis to combat the spread of the COVID-19 virus infection.

Picking up the bread crumbs

We take projections of the GPS position to the all nearby roads and intersections and consider them candidates for the actual (real-life) position.

Can GPS read your mind? AI predicts your next destination

We developed an AI which learns your driving patterns and can accurately predict your next destination based on current situation.

Are posted speed limits sometimes plainly wrong?

We questioned the credibility of posted speed limits using Big Data Analysis built in SpaceTime. We identified locations where...

Parsing and planning SQL queries with Apache Calcite – Part 1

To get the results, an SQL query must be parsed, validated, planned, optimized, and finally executed on a query engine. Apache Calcite can help with that.

Gently down the stream processing

How to perform real-time processing when data ingestion rates are measured in millions of entries per second?

Compiling SQL queries for Mireo SpaceTime

We built a distributed storage engine capable of storing and indexing trillions of entries and optimized a way of querying spatiotemporal data.

Was it my way, or was it highway? An introduction to map matching.

Map matching is a process of matching received vehicle coordinates with most likely road segment of a digital road map.

Why would a normal person build their own spatiotemporal database?

Storing and analyzing a large amount of spatiotemporal real-time data requires special treatment in choosing data structures and query algorithms.
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