A managed service is the process of outsourcing specific functions this can range from software development to data management. Outsourcing these functions if you do not already have existing time and resources in-house can provide invaluable benefits can give you access to experienced and highly skilled professionals in the field. Managed data engineering teams, depending […]
Read More… from Managed data engineering teams – getting started
The bigger your company grows, the more data it will generate, and the more complex your data requirements become. There are a number of key challenges with data management, and if you are not prepared to make informed, researched decisions, you may end up spending time, money, and resources on data storage and management methods […]
Read More… from Batch, Stream, Real-Time Processing: A Comparison
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
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
There are not many organisations around the world that are untouched by technology and that are not creating a huge amount of data through their day-to-day operations. How you sort that information, and whether it reaches its full potential in usability, functionality, and cost-effectiveness will depend on how you handle it, and whether you have […]
Read More… from Data Warehousing technologies – making the right choice
Modern businesses create and process a lot of information from a lot of different sources. It can be difficult to make the best use of this data when you have to track down all the relevant channels, have multiple systems and servers to search, and need different skill sets to operate each platform. […]
Data administration services include the building and maintenance of data infrastructure from databases, data warehouses and data pipelines to fulfilling data migration requirements. Many larger organisations will have well-experienced in-house data engineering teams that can take care of these data projects, however, many businesses will not have the skills and resources in-house to take on […]
Read More… from Outsourcing data administration – key benefits
Effectively managing your data can become challenging as the sheer volume of data is increased considerably from hour to hour, day to day. Data for most organisations is always evolving in volume, variety, velocity and source. This presents a number of challenges for data management but also presents opportunities that businesses can capitalize on. Businesses […]
