We’ve come to a data crossroads. Between regulations such as the California Consumer Privacy Act (CCPA) and General Data Protection Regulation (GDPR), shifting architectures with multicloud strategies, and new uses cases with artificial intelligence (AI)/machine learning, there’s a need to simplify and automate management of data. As some already know from experience, this is often easier said than done. Many organizations are hobbled by traditional data warehouses or Hadoop data lakes, which can be complex and difficult to manage. But there’s good news, though. Despite everything, organizations that embrace a DataOps approach can get a jump on the competition by improving data management and boosting innovation.To read this article in full, please click here
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