The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

PolarLake Adds Grid Computing Capabilities to RDD Platform

PolarLake had added grid computing capabilities to its Reference Data Distribution (RDD) platform in order to increase its scalability for downstream uses. John Randles, CEO of the vendor, explains that the enhancements have been added to PolarLake RDD to allow firms’ enterprise data management (EDM) platforms to support more than two or three downstream systems.

“By adding this capability to PolarLake RDD we have taken away a lot of the technical complexity of scaling up a distribution application where the alternative is to custom build in an extract, transform and load (ETL) tool or code,” claims Randles. “The particular complexities of the distribution processes in the reference data world can lead to lots of bespoke, specialised engineering work, particularly when scaling to grid technologies.”

PolarLake RDD’s data distribution and streaming capabilities are therefore available on grid technology to allow for firms to deal with larger volumes of reference data at a faster speed, says the vendor. The solution also includes five new grid-enabled features: distributed delivery agents, initial seeds, store and forward, resource optimisation and delivery agent’s dashboard.

The distributed delivery agents enable the separation of processing and transformation from the delivery process while maintaining the solution’s data streaming capabilities, says the vendor. The solution also allows for the initial setup of a downstream systems and recovery in a fatal outage of a downstream system.

The store and forward function allows the delivery agent to store up messages until a downstream system comes back online and automatically re-synchronise the data once this has happened. The solution also allows for unused computing resources on the grid to take on the work of distribution and therefore optimise resources, says PolarLake.

The delivery agent’s dashboard enables operations personnel to view and monitor in real time the operation of PolarLake RDD across the grid and to remediate any distribution problems that may arise.

Related content

WEBINAR

Recorded Webinar: A new way of collaborating with data

Digital transformation in the financial services sector has raised many questions around data, including the cost and volume of reference data required by each financial institution. Firms want to pick and choose the reference data they need to fulfil their requirements. Emerging solutions with the potential to decrease the cost of data and increase flexibility...

BLOG

Observational Learning Boosts Data Quality, Improves Reconciliations, Cuts Costs of Exceptions

Large data volumes and manual data validation techniques are making it difficult for firms to achieve levels of data quality required to support seamless transaction processing and regulatory reporting. The problem is exacerbated by MiFID II and other emerging regulations that impose new processes on transaction reporting, including reconciliation of transactions from the trade repository...

EVENT

RegTech Summit New York City

Now in its 5th year, the RegTech Summit in NYC explores how the North American financial services industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...