Coming to terms with data automation

Coming to terms with data automation

Coming to terms with data automation Nathi Dube, Director, PBT Innovation at PBT Group Data automation is becoming increasingly important as South African companies expand their operations and embrace cloud-driven environments to support new business processes. With...
Getting the low-down on the data fabric

Getting the low-down on the data fabric

Getting the low-down on the data fabric Julian Thomas, Principal Consultant at PBT Group Even though the terms data fabric and data mesh share certain similarities and are often used interchangeably, there are significant differences to consider. While the former has...
How to manage business data in the cloud

How to manage business data in the cloud

How to manage business data in the cloud MJ Scholtz, Data Engineer at PBT Group In my previous blog, I discussed the four steps companies should consider taking when moving their data to the cloud. From planning and choosing the environment to migrating the data and...
Getting ahead of your data migration journey

Getting ahead of your data migration journey

Getting ahead of your data migration journey  MJ Scholtz, Data Engineer at PBT Group  Moving your organisation’s data to the cloud can be a formidable task. It has the potential to be complex, time consuming, and expensive. It is therefore not surprising...
Cloud overengineering for data platforms

Cloud overengineering for data platforms

Cloud overengineering for data platforms Willem Conradie, CTO and Technical Director at PBT Group I recently read an article about overengineering architecture in the cloud – and it got me thinking about how I have experienced this in practice, specifically with...
Taking care of data management and security best practice

Taking care of data management and security best practice

Taking care of data management and security best practice Nkhumeleni Kutama, Senior Business Intelligence Consultant at PBT Group Every industry puts different expectations on its businesses. But regardless of this, any successful data management strategy requires...