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Before I explain, let’s step back first.  \nBefore the internet, the effort to buy a pair of shoes from home involved waiting for the Sears catalog to be delivered, connecting to the call-center with your rotary dial phone, describing the item you want to buy, and waiting for the package to be delivered. The process to pay for the shoes was even longer since it involved receiving a paper invoice by mail (USPS), sending a paper check to Sears (USPS), moving the paper around internal departments at Sears until it all arrived at Accounts Receivables, and eventually entered the bank’s check clearing process (by paper) .  \nIn the modern internet age, the order-to-cash process has reduced from several months to a few seconds (basically instantaneous)! There were basically three technology breakthroughs that enabled this dramatic result; the internet protocol, the browser (universal user interface) and online electronic payments. Other developments like the digitization of catalogs, Amazon’s 1-click order process, and delivery tracking on cellphones helped, but it was the three inventions of the internet, browser and online payments that make the breakthrough a reality.  \nI’ve been wondering for years when IT professionals would invent the same capabilities for finding, delivering and using data as quickly as we can buy a pair of Nike shoes or a PlayStation. What three innovations will emerge to make data easy enough for your mother to use, rather than a pain? Well, we don’t yet have all three inventions for data yet, but we ha","cbCaitTz1zPPcPhu","https://ap.wps.com/l/cbCaitTz1zPPcPhu","pdf",1124874,37,"English","# Foreword (by John Schmidt)\n# DataOps – A Data Management Breakthrough!\n# Why Care About DataOps?\n# A Brief History of Data Evolution\n# DataOps in a Nutshell\n# The Astonishing Speed of DataOps Practices\n# DataOps Playbook Primer\n## DataOps Purpose and Responsibilities\n## DataOps Services\n## Challenges and Problems that DataOps Resolves\n## Practices & Skills Compared to Traditional Methods\n# Starting the DataOps Center of Excellence\n## Developing the DataOps Roadmap and Gaining Executive Support\n## Overcoming DataOps Resistance\n# DataOps: Name It and Claim It\n# Case Studies\n## Case Study 1: DataOps Capability at GLOBEX\n## Case Study 2: DataOps in R&D at a Health, Pharmacy and Biotech Company","[{\"question\":\"What is DataOps and why is it considered a breakthrough?\",\"answer\":\"DataOps aligns people, automated technologies, and business agility to improve the quality and reduce the cycle time of data analytics. 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