We’ve decided to bring back our data-oriented talks for another run, with some help from our friends. Please use the sign up form below if you would like to join us. The content for our previous webinars is available here. Vaex, Arrow, Parquet Thursday 11th March, 4pm GMT Vaex is an open source python library for analysing large on-disk datasets …
Level 2 Storage Formats
Storing an order book can be tricky due to the large number of orders and prices that continually change throughout the day. Here we investigate and compare three common methods of storing an order book, assessing their benefits and limitations. To do that, the TorQ-CME pack was used to process CME MDP 3.0 FIX data on Soybean Futures for 10 …
A C++ Utopia – Some comments on interfacing kdb+ and C++
Recently quite a few projects at AquaQ have involved the manipulation of large numeric vectors in kdb+, and passing this data to and from external applications or tools written in C or C++. A practical example would relate to the use of machine learning libraries written in C++ that require output to be written to a kdb+ tickerplant or database. …
Chronicle Software integrates Chronicle Queue with kdb+ – Delivering high speed trading solution in partnership with AquaQ Analytics
London, Belfast, Singapore – 05 February 2021 – Chronicle Software (Chronicle), a specialist provider of low-latency technology solutions for the financial services industry, announced the integration of their latency-optimised messaging framework Chronicle Queue with the high-performance database kdb+. Chronicle has completed the integration project in partnership with AquaQ, the consultancy and product development company. The integration enables users of …
AquaQ Parquet kdb+ converter
Following on from the columnar and data formats blog post, we have decided to investigate creating a custom API for parquet. Traditionally, we would do this through python, however, we are interested to see what the performance benefits are. Kdb-Parquet is a library that can convert kdb+ tables to and from the Apache Parquet table format. The library provides a …
Real-time airline traffic dashboards with TorQ-Air
TorQ-Air is an application built on the TorQ framework that allows us to capture data through the Lufthansa developer API and perform both real-time and historical analytics on flight data. The solution includes a front-end built on Kx-dashboards, showing a number of real-time and historical stats. Download and installation instructions can be found on the TorQ-Air github repo. Founded in …
TorQ in 2020
2020 was a strange year for most of us. We’ve used it as an excuse to put a lot of work into extending TorQ- here’s a brief recap of some highlights. The first large contribution in 2020 was to provide the option of integrating Datadog into TorQ. Datadog is an extremely useful application monitoring service capable of tracking anything from …
AquaQ Analytics and Pegasus Partner to provide Client Value
Capital markets relies on massive data sets that are exponentially growing and moving faster. The key to making use of the data to create information is through smart analytics, delivered in a cost effective and modular way. AquaQ Analytics and Pegasus Enterprise Solutions are teaming together to provide dynamic, cost effective access to your data that will yield tremendous insights …
TorQ Segmented Tickerplant
Our most recent project here at AquaQ Analytics has been an extension of the TorQ production framework. In particular, a new segmented tickerplant process (STP) has been incorporated into TorQ which will provide greater flexibility to the user whilst also preserving the functionality of the original tickerplant process. This blog post will revisit the role of the tickerplant in TorQ, show the new features that a segmented tickerplant provides and highlight the advantages …
Comparing columnar data formats: Arrow, Vaex and kdb+
Here at AquaQ we have years of experience using kdb+ in the financial sector, helping our clients capture, analyse and derive value from their data. We always take a keen interest in technologies that will help us solve new problems, or provide better solutions for existing problems. To this end Apache Arrow is very interesting. Arrow describes itself as a …