![]() ![]() Through constant research and mathematical proofs, they kept upping their count. That’s a huge number, but mathematicians and computer scientists knew this estimate was low. And when the Rubik’s Cube debuted in America in 1981, it was advertised as having “over 3,000,000,000 (three billion) combinations but only one solution.” Rubik eventually solved his invention after a month of being sequestered in his bedroom. Rubik had no idea how to solve his creation, and he was unsure whether it was even possible. Despite just eight corners and twelve edges, there were too many starting positions for Rubik, who was an architect, not a mathematician, to even begin to calculate. When Hungarian professor Ernő Rubik invented his namesake puzzle, he quickly realized its deceptive simplicity hid a deep complexity. I have also included a link to relevant background sources covering DataOps and data engineering topics with each point. In this blog, I’ll explore some striking similarities between solving a Rubik’s Cube and managing DataOps. With every business today becoming data-driven, DataOps has never been more mission-critical nor more challenging. Worldwide investment in data and analytics is growing from $216 billion in 2021 to $349 billion in 2025, according to IDC, a CAGR of 12.8 percent. The constant release of more complex variants, as well as the popularity of speedcubing competitions around the world, has kept the Rubik’s Cube just as challenging and relevant in 2022 as it was in 1982.ĭata emerged as the business world’s most valuable resource with the embrace of OLTP databases in the 1980s, business intelligence and data warehouses in the 1990s, big data analytics in the 2000s, machine learning and data science in the 2010s, and now real-time AI and customer personalization systems. ![]() Over 400 million Rubik’s Cubes have been sold in the last four decades. ![]() Since its original rise in the 1980s, the Rubik’s Cube has become the world’s most popular puzzle toy. In 1974, two distinct but interestingly similar milestones were achieved that would greatly affect the lives of data engineers: the Rubik’s Cube was invented, and IBM released the first relational database. Lubań, Poland – July 2, 2021: Different types of Rubik’s cube on display. ![]()
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