ArangoDB Geo | Geospatial Queries and Analysis Tools

ArangoBNB Data Preparation Case Study: Optimizing for Efficiency

Christopher Woodward — Tue, 01 Jun 2021 17:40:00 +0000

Estimated reading time: 18 minutes This case study covers a data exploration and analysis scenario about modeling data when migrating to ArangoDB. The topics covered in this case study include: Importing data into ArangoDB Developing Application Requirements before modeling Data Analysis and Exploration with AQL This case study can hopefully be used as a guide…

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ArangoDB 3.4 GA Full-text Search, GeoJSON, Streaming & More

Frank Celler — Thu, 06 Dec 2018 14:30:59 +0000

The ability to see your data from various perspectives is the idea of a multi-model database. Having the freedom to combine these perspectives into a single query is the idea behind native multi-model in ArangoDB. Extending this freedom is the main thought behind the release of ArangoDB 3.4. We’re always excited to put a new…

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Full-text Search, GeoJSON, Streaming & More appeared first on ArangoDB.

RC1 ArangoDB 3.4 – What’s new?

Julie Ferrario — Thu, 06 Sep 2018 11:12:36 +0000

For ArangoDB 3.4 we already added 100,000 lines of code, happily deleted 50,000 lines and changed over 13,000 files until today. We merged countless PRs, invested months of problem solving, hacking, testing, hacking and testing again and are super excited to share the feature complete RC1 of ArangoDB 3.4 with you today. Download the technical…

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Index types and how indexes are used in ArangoDB: Part II

Jan Steemann — Thu, 01 Mar 2018 12:29:23 +0000

In the first part of this article we dived deep into what indexes are currently available in ArangoDB (3.2 and 3.3), also briefly looking at what improvements are coming with ArangoDB 3.4. Read Part I here. In this Part II, we are going to focus on how to actually add indexes to a data model…

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Index types and how indexes are used in ArangoDB: Part I

Jan Steemann — Thu, 22 Feb 2018 15:39:02 +0000

As in other database systems, indexes can be used in ArangoDB to speed up data retrieval queries, sometimes by many orders of magnitude. Getting the indexes set up the right way is essential for good query performance, so this is an important topic that affects most ArangoDB installations. This is Part I of how indexes…

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An Introduction to Geo Indexes and their performance characteristics: Part II

Jan Steemann — Thu, 18 Jan 2018 10:08:35 +0000

Geo Index Implementation This section will cover the MMFiles based geo-index. The algorithm is optimized for in-memory accesses and optimal CPU cache utilization. The main goal for our geo queries is to reject as many distant possible result points as fast as possible. One limitation of an approach purely using geostrings is, when one is…

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An Introduction to Geo Indexes and their performance characteristics: Part I

Jan Steemann — Thu, 04 Jan 2018 15:30:50 +0000

Starting with the mass-market availability of smartphones and continuing with IoT devices, self-driving cars ever more data is generated with geo information attached to it. Analyzing this data in real-time requires the use of clever indexing data-structures. Geo data in ArangoDB consists of 2 or more dimensions representing (x, y) coordinates on the earth surface.…

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ArangoDB | Geo Demonstration Using Foxx – Location-Aware Applications

Heiko Kernbach — Thu, 14 Sep 2017 14:52:09 +0000

Geo data is getting more and more important for today’s applications. The growing number of location-aware services, IoT applications and other solutions using latitude and longitude ask for precise and fast processing of geo data. Let me show you in this quick demonstration how you can use geo functions and visualize your data using Foxx…

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Hilbert Curves & Polyhedrons for Geo-Indexing | ArangoDB Blog 2012

Frank Celler — Sat, 31 Mar 2012 21:37:48 +0000

Cambridge mathematician Richard R. Parker presents a novel algorithm he has developed using a Hilbert curve and Polyhedrons to efficiently implement geo-indexing.

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