Data observability is all about the ability to understand, diagnose, and manage the health of your data across multiple tools and throughout the entire lifecycle of the data. Ensuring that you have the right operational monitoring and support to provide 24/7 peace of mind is critical to building and growing your company. […]
Read More… from Getting data observability done right – Is Monte Carlo the tool for you?
In order to make the best use of your data and ensure that your business is going in the right direction, data strategy and data governance are essential tools that will help you reach your goals in a way that is cost, time, and resource effective. […]
Read More… from Data strategy and data governance – Why they go hand in hand
As technology continues to integrate into modern living, companies are finding that they are dealing with more and more data, lacking the tools, staff, and space to store it and are missing out on crucial information that can truly help a business evolve and grow. […]
With the increasing need for real-time and predictive data analytics, DataOps is one of the key trends in Data Engineering in 2023. In this article we will cover how you can implement DataOps for increased agility, moving away from traditional, rigid practices. […]
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According to Global Newswire, there has been a shift from traditional in-house towards outsourcing models with around 60% of organisations being dependent on outsourcing companies. There is no evidence of a decline in this shift or approach as managed services offer several benefits, most importantly a reduction in costs. Managed services are becoming paramount across […]
Read More… from Managed Data Services – what you need to know
Data engineering is a highly sophisticated discipline, with a lot of moving parts and constant evolutions in practices and processes as technology continue to evolve and grow – and this is not just on an individual business level but on an industry-wide scale. […]
Read More… from How to build a highly efficient data engineering team
What is Python? Python is a high-performing versatile programming language that can be used for several different functions including building websites, building and testing software, automating tasks, machine learning, data science and performing data analysis. Is a general-purpose programming language which is what makes it so unique. It is one of the most popular programming […]
Read More… from Python – how it compares to other leading programming languages
Operational monitoring and support services are often a necessity for multiple reasons for organisations that have high-traffic applications and those dealing with real-time or near real-time data. A good operational monitoring and support provider will have an established structure in place whether that is reporting on scheduled intervals or communicating any issues or errors. […]
Read More… from Key technologies for operational monitoring and support
An extended team model (ETM) is the new alternative to traditional outsourcing. It combines the best of both worlds your existing team skills and expertise with an extended team of professionals who come on board to work on a collaborative basis. Organisations that may have mid to long-term projects, may not have sufficient resource or […]
Read More… from What is an extended team model and can it work for you?
A data engineering team depending on the industry, size and type of business as well as scale type and form of data will differ in their structure, functions and day-to-day work. It is undeniable the invaluable benefits a good data engineering team can provide for a business whether you have a team in-house or work […]
Read More… from Building a data engineering team the right way
