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 […]
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The Power Platform combines the ability to create apps with low code, gain data visibility with business intelligence, automate workflows and leverage AI bots to enable users to create powerful solutions. As highlighted by Microsoft, around 97% of Fortune 500 companies are employing the power platform and building technology and tools in remarkable ways. The […]
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The structure of a software development team will play a significant role in the success of a project. Every team member has their part to play and if there is not an effective structure in place, the project could face complexities and challenges. According to Standish Group’s 2020 CHAOS report, around 66% of software projects […]
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What is operational monitoring and support? Operational monitoring is looking at pre-defined key metrics of performance over regular intervals throughout the day. There are a wide variety of tools and technologies on the market that help monitor operational performance for your business whether that is monitoring legacy applications and databases of a cloud-based data ecosystem. […]
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Both project and product teams are the different structures of software development teams. Choosing the right structure for your organisation is key to the overall success of your software. There are multiple key differences to consider for each including priorities, time of use of the team, funding and much more. […]
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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 […]
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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
Application integration is the connection between two or more apps. As businesses grow and evolve, they adopt multiple software and apps to increase efficiency across their organisation, this can range from CRMs, supply chain management software, accounting software and more. These software alone can provide invaluable benefits to organisations, however, connected they can provide one […]
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Growth is driven by increasing efficiency, reducing long terms costs and improving productivity. There are a wide variety of apps and software that can provide these benefits, however, if these apps are siloed, the benefits have limitations. Disparate systems will require more time and resources to navigate which can drain productivity, therefore app integration becomes […]
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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, […]
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