One of the hardest parts of real-time machine learning is building real-time data pipelines, they need to be able to handle millions of events at scale in real-time, and be able to collect, analyse, and store large amounts of data. This means that the capacity for applications, analytics, and reporting all has to be robust, […]
Read More… from Key challenges with real-time data processing for your data pipeline projects
A data pipeline is a set of processes and associated tools that make the movement of data between a source and its target, automated. There are three key elements involved – a source, processing steps, and the destination. The processing steps you choose will depend on your needs, your software, and how your pipeline has […]
Read More… from How to approach stream processing for your data pipelines
Adopting business process automation can provide unmatched benefits to organisations across all industries and departments. The use of software to automate processes can help alleviate your teams from burdensome tasks, remove the room for human error and streamline your business operations to save time and costs. Gaining the benefits from business process automation is ensuring […]
Read More… from The six key stages of business process automation to consider
Successful business automation software can automate a wide variety of processes within a business and can offer a boost in productivity, improvement in efficiencies and an overall reduction in costs. Organisations around the world are increasingly looking to implement business automation across many departments ranging from customer service and sales to HR and accounts. Research […]
Read More… from The core components of successful business automation software
Making the decision to move your data to the cloud is an important one, and it needs to be carefully considered before you start. The three essential stages of cloud migration cover: analysis of both your business needs and technical operation, risk analysis and a plan for the scope of the migration process and the […]
Read More… from Migrating your data to the cloud – what you need to know
Batch processing is a method for taking high-volume repetitive jobs and automating them into a series of steps which cover extraction, aggregating, organising, converting, mapping, and storing data. The process requires minimal human interaction and makes the tasks more efficient to complete, as well as putting less stress on internal systems. […]
Read More… from How to approach batch processing for your data pipelines
Digital transformation can offer organisation plenty of opportunities whether that is to streamline and improve internal processes, elevate their customer service or work towards creating sustained growth. Evolving expectations and demand internally and externally are driving this focus on digital transformation. Although it is a current hot topic, digital innovation must be ongoing and organisations […]
Organisations are realising that they will need to evolve to grow, remain competitive and meet the regulatory standard. There is this collective move towards digital transformation to digitise and modernise archaic, outdated processes within organisations. […]
Read More… from Why now is the time to implement Digital Transformation
The adoption of the cloud can be seen across a variety of industries and departments within organisations, across the world. This is no different when it comes to data warehousing. As highlighted by G2, 47% of IT managers reported that all their data warehouses were in the cloud. Although they are increasingly popular, there is […]
When it comes to data science, analytics, storage, and management, there are a lot of different terms and phrases used, and some are quite similar. This can make it difficult to keep track of what is being discussed, what the terms mean, and how it applies to you and your data. In this article, we […]
Read More… from Data warehouse vs Data Mining – what are the key differences?
