From the very first days of data processing, ETL(Extract, Transform, Load) has been a requirement of any data processing and reporting platform. Be it basic shell scripts, python, perl or these days one of the more "modern" ETL tools, there is always a choice to be made when building your data platform.
With decades of data processing experience, Spicule can help you make that choice. Picking the correct tool for the job is vital as change further down the road can be a very costly expense. We will work with you to analyse your requirements and give you the information that will allow you to pick the correct tool for the job.
Along side the deployment of your systems, we can also build the data processing pipeline that your data will flow through. Understanding the underlying hardware and the software that will run on top is key when deploying an optimal data processing platform. At Spicule we make sure you get the most out of your hardware with the most efficient data processing workflows.
Another use case of highly flexible data processing systems is for streaming data. Regardless of whether you are NASA with data flowing down satellites and radio telescopes or a startup company with an Internet Of Things product, processing streaming data can help flag up issues in real time. Not only that, but for large volumes of data, processing the streaming flow of data instead of buffering it all up and processing it in batch can dramatically speed up processing times.
At Spicule we can analyse your requirements and pick both the right tool and the right platform for the job. Ensuring maximum throughput and stability from the underlying hardware can be pivotal to a stable processing platform.
One of the major uses of highly scalable data platforms is the ability to process a lot of data, and we mean, a lot. Scalable cloud platforms now allow small businesses to crunch petabytes of data for very little investment, but unlocking the information held within the data is key.
Big data platforms are designed for analysis of large volumes of data and as such are ideal for trend analysis, machine learning and other statistical analysis applications where companies want to discover data locked away, either due to volume or due to the complexity of the data.
Whilst commonly known as Big Data, the same use cases can also be applied to much smaller volumes of unstructured data where there is little or no requirement to turn the output into a tabular result set as you would normally see in a relational database. Batch jobs like these very suitable to cloud based solutions that can spin up, process the data and clear down.
From the very first days of data processing, ETL(Extract, Transform, Load) has been a requirement of any data processing and reporting platform. Be it basic shell scripts, python, perl or these days one of the more "modern" ETL tools, there is always a choice to be made when building your data platform. In the modern age, data management has become an ever increasing issue. With data stored on Laptops, Servers, Desktops, Phones, Inboxes, Dropbox and pretty much anywhere else you can imagine, creating a cohesive picture of the data available to your business can be a tricky task. At Spicule we can provide a tried and tested distributed data processing platform, initially developed by the clever folk at NASA to help bring a sense of organisation to the data flowing around your business.
If your business requires you to keep track of your data in various stages of its lifecycle for auditory or other purposes, we can help make that a realisty. Using our metadata tagging and tracking platform we can track your data from the moment it arrives in your business to the moment it leaves.Find out more.