Data continues to grow substantially, and many organisations are overwhelmed with the amount of data. Every organisation that deals with large data sets need to have a robust, efficient infrastructure in place to effectively manage the data and ensure that it provides the maximum benefits, whether that is monetisation opportunities or powerful insights. […]
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Becoming a Google Cloud Partner means that a company has demonstrated skills in Google Cloud technologies and has been vetted by Google to become a partner. In this article, we will look at how you become a partner and what it means for you. […]
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Domo is a Business Intelligence (BI) and data platform that provides real-time reporting. Having been around for over a decade Domo is used by a variety of businesses including Target, Comcast and DHL to drive data-driven decision-making. Data visibility is a challenge for many businesses, and Domo helps businesses overcome that with the ability to […]
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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 […]
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A data technology stack is a set of services and/or technologies, which companies use to store, access, and manage their data. In a data warehouse, this process requires the extraction of raw data from chosen sources to be sourced and loaded into the data warehouse using a data pipeline. […]
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Data Warehouse as a Service (DWaaS) is an outsourcing model, in which the configuration of the platforms and processes, management of hardware and software resources, and overall management of the system is handled by an external team – leaving you, as the customer, to provide the data and pay for the required services. […]
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Managing your data means that you need the right structures, the right tools, and the right team to manage your needs. When you create a data pipeline, the first things you should consider are: […]
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Your time and resources are precious, and when you are running a process that involves a lot of data, and potentially is costing you for every action (or inaction) – making the most of your budget is crucial. […]
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Managing your data efficiently means understanding exactly what you are doing, the size of the data involved, and what pipeline structure is going to best suit your needs. Developing your data pipelines is a critical part of your strategic data development and business growth. […]
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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