Gabriel Eisenberg 
Your insights, analyses and predictions are only as good as the data that you use. Like a diet, you have to ensure that your body is fed healthy, wholesome foods or you’re faced with uninvited health issues further down the line. The same goes for your data. Bad data gives way to bad results. No … Read more
Whether you’re just getting started with your first AWS data-driven project or have an impressive track-record as a data connoisseur in the AWS ecosystem, AWS Glue is a must. Why? Because it is a managed service that: With AWS recently releasing their promising and exciting new Autoscaling feature in Glue 3.0, there’s still plenty of … Read more
It’s true. Your insights, analyses and predictions are only as good as the data you use. If you have bad data flooding in, then you’ll have bad results flowing out. And nobody wants negative customer experiences or bad results. Nor to miss out on all of the benefits that come with clean, accessible data. Industry … Read more
Chatbots aren’t just a way to show off how modern and tech-fancy your business is. These digital assistants are much more than that. They simplify mundane processes, improve customer experience and even bring massive cost benefits in the process. To make it better, the chic, creative code behind this tech keeps evolving. And investment keeps … Read more
With the sheer amount of data that businesses hold onto and accumulate, it’s essential that all of it is kept safe, organised, accurate and accessible. And having accurate information is important for every business. Big or small. Especially in an increasingly data-driven world. Having accurate employee and customer information means that you can get to … Read more
Data cleaning. Data cleansing. Or, data scrubbing. Whatever you choose to call it, going through this vital process is essential to the success of any data-driven organisation. Even more so when ensuring that your data is both prepared and optimised for the best insights, analytics and functionality that your tech stack can offer. And it’s … Read more
The value of big data keeps growing. And for most organisations today, it’s essential that every byte of data is used effectively and with purpose. But data is all over the place. It doesn’t all come in the same format. It’s difficult to work with and requires plenty of resources, time and specialised skill. So … Read more
Clean, accessible data is the source of true innovation. It fuels insights, analytics, forecasts and even top-notch Netflix recommendations. But it’s not like that type of data just simply exists. Most of the world’s data is messy, disparate and difficult to work with. Especially for data scientists. So it’s truly up to data engineers to … Read more
Think of the ingenuity behind self-driving cars, facial recognition, or automation. It’s the data scientist that you have to thank for that. But a data scientist is only as good as the data they have access to. And because data can be chaotic, disparate and messy, these scientists spend more time sifting through and cleaning … Read more
Aug 18, 2022 03:00 PM BST / 04:00 PM SAST
