Student or junior DBAs often ask about the skills they will need to be effective in the modern technical landscape. And, as the technology changes, or course so do the required skill sets. The tool landscape that the DBA needs to understand is moving toward the DevOps realm. That doesn't mean that DBAs need to be DevOps experts—they're still different roles. But rather, there is some overlap and, at the very least, the DBAs need to be familiar with and, in some cases, use these tools.
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In 2018, there was heightened awareness of AI and machine learning and, in 2019, the emphasis is expected to increase on cognitive computing technologies that can analyze data in ways previously unimaginable and act independently or with limited human intervention. Here, executives of leading IT companies offer 9 predictions for what's ahead in 2019.
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In the global marketplace, where data is a critical business asset, industry leaders struggle to maximize back-end IT, including CRM, ERP, e-commerce, marketing automation, and point of sale. Organizations deploy these IT systems to meet customer expectations, differentiate on digital experiences, streamline operations and achieve regulatory compliance while still delivering growth strategies and competing, in many cases, in a global market.
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Increasingly, DBAs are seeing artificial intelligence (AI), and machine learning applied to database management and optimization, taking self-healing and self-tuning to the next level. These solutions, from both database and third-party vendors, allow DBAs to spend less time searching for bottlenecks, and more time doing more productive and creative work in support of strategic business goals.
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