Data Operations or DataOps has gained much attention in recent months. As the technologies mature and adoption rates increase, we should learn from the experiences of those who are developing self-driving vehicles. Self-driving cars are a near certainty that will reshape the world of personal transportation, and that promise to solve many of the congestion and safety issues of today’s overly crowded streets and highways. Self-driving data can have a similar effect on the overly crowded data pipelines that are barriers to delivering valuable analytics and data science. The vision of self-driving data is real, the value is clear, and the enabling technologies exist today.

You will Learn: 

• The defining characteristics of self-driving data.
• The value proposition for self-driving data.
• Key technologies and how they work together to enable self-driving data.
• The essential role of self-driving data to enable DataOps, data analytics, data science, and data-driven business success.
• Tips and recommendations to start your journey to the future of data management and autonomous data pipelines.

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