In the digital age, data emerges as the new universal currency. As a result, organisations across all sectors ingest and store unprecedented volumes of data. Some of this data is structured and stored for a specific purpose, but much is unstructured and ‘hoarded’ in the hope that it will prove valuable some day. But as the volume of data grows, a “data lake” can easily turn into a “data swamp” with little practical purpose. This can lead to problems akin to those it sought to solve in the first place.
GFT has world-class data management expertise and a state-of-the-art solution that can help organisations turn their data into actionable insight that drives business strategy.
GFT Stream marks a radical departure from the received wisdom by empowering organisations to stream and analyse data in real-time. In practice, fast-moving data has a short shelf life so it makes sense to use it as soon as it arrives into the organisation. But for many organisations, this approach requires a fresh mindset and new working methods.
The deliverable benefits of GFT Stream include:
- A unique GFT methodology that is driven by business need not simply storing more data
- Data is streamed in real-time to suit on-the-fly/in situ cataloging/profiling and enrichment
- Data pipelines that can be tailored to support specific business needs, e.g. real-time for IoT data
- Provides a strategic data store
- A foundation for a model-driven business – no more guesswork or need to look in the rear-view mirror!
- Leverages state-of-the-art technologies and new thinking – big data, cloud noSQL schema-less storage, and is also PaaS centric
GFT @ Google Next 19 USA
GFT is also delighted to confirm that it will be showcasing GFT Stream at Google Next 19 USA in San Francisco, from Monday 8th April 2019.
Google’s managed services can help build a strong foundation for GFT’s Stream technology by removing the need for infrastructure management. Google’s Cloud Storage product enables GFT Stream to use a durable blob storage as a backend for not only its source data but the machine learning models it creates.