According to the McKinsey Global Institute, data-driven organisations are 23 times more likely to acquire customers. A business’s data used effectively can be incredibly useful for a business to understand performance, make data-driven decisions and remain agile. World-renowned brands such as Netflix and Starbucks have adopted a data-first approach to drive significant growth and success. […]
Read More… from Data engineering best practices you need to implement
Businesses produce a lot of data, and handling that effectively can mean the difference between an effective operation or loss of opportunities; 90% of large enterprises have now adopted a multi-cloud infrastructure, and 60% of global corporate data is now stored on the cloud. […]
Read More… from Enterprise cloud modernisation VS Enterprise cloud migration – what’s best for you?
There are a lot of different data warehousing solutions on the market, and once you have made the decision to undertake data migration from one provider to another, it is absolutely vital that you not only choose the right technology partner but that you also plan your data warehousing solutions to meet your current needs […]
Read More… from 4 Essential steps to data warehouse migration
When it comes to effective database management and data engineering tasks, NoSQL services are a non-tabular option that are often well suited for big data, real-time web apps, online shopping, social networks, and Internet of Thing (IoT) tasks, amongst others. […]
Read More… from MongoDB Vs DynamoDB – What NoSQL technology is best for you?
In order to manage your data effectively and securely, you need to have the right tools for the task. When it comes to database management systems, Structured Query Language (SQL) is used for processing information that is laid out in a relational database (where the information is stored in tabular form, with rows and columns […]
Read More… from MSSQL vs MySQL – How to make the best choice for your business
Bad data can be responsible for the loss of around $15 million per year according to a study by Gartner. Poor quality data can cost your organisation in more than one way including data storage, loss of productivity and more. Implementing processes for data pipeline monitoring will ensure your data pipelines are running in line […]
Read More… from Data pipeline monitoring strategies, technologies and metrics to measure
Migrating to the cloud can be highly beneficial for your business, it allows you to be more flexible, work with agile operations, innovate at a faster pace, and can reduce costs – especially when you have been spending on server hardware and storage space. […]
Read More… from Migrating to the cloud – Lift-And-Shift VS Modernisation
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
Big data plays a huge role in several businesses, to the point where 79% of companies fear that not using it would help bankrupt them, and 86% believe that big data will revolutionise the way they do business. […]
Read More… from Comparing leading data warehousing technologies
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. […]
