In his seminal 2017 blog post, The Downfall of the Data Engineer, Maxime Beauchemin wrote that the data engineer had the worst seat at the table. Data technology and teams have changed tremendously since that time, and now the Preset CEO and creator of Apache Airflow and Apache Superset has a brighter outlook on the future of the profession. I have also seen what was once a … [Read more...] about Do Data Stewards Have The Worst Seat At The Table?
data management
How to Ensure Privacy and Security in Test Data Management?
For decades, businesses have been protecting data privacy to build customer trust. Fast forward to today, it is no more a choice but a regulatory mandate that can attract stringent action in case of no compliance. With regulations like GDPR and CCPA, enterprises must take extra measures to protect data privacy in their test environments. As more companies rely on technology to … [Read more...] about How to Ensure Privacy and Security in Test Data Management?
Best Practices for VMware vSphere Backup
Best Practices for VMware vSphere Backup Alex Tray VMWare vSphere virtual environments need to be regularly backed up to ensure vital data is protected. For busy IT teams with limited budgets, any resource or cost savings can be a welcome boost. This article provides some best practices for VMWare vSphere backup. Utilize the power of your VMs Using virtual machines in your … [Read more...] about Best Practices for VMware vSphere Backup
An Insight Into Data Mining, its Process, and Advantages
Data mining is a part of data collection that is vital in the discovery of important information and understanding its different aspects. Data collection is the process of gathering, measuring, and analyzing data from distinct sources to receive useful insights. The data can be collected through multiple sources like online tracking, social media monitoring, feedback, … [Read more...] about An Insight Into Data Mining, its Process, and Advantages
Data Integrity: the Last Mile Problem of Data Observability
Data quality issues have been a long-standing challenge for data-driven organizations. Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality. Data Observability has been all the rage in data management circles for a few years … [Read more...] about Data Integrity: the Last Mile Problem of Data Observability