The Log: What every software engineer should know about real-time data's unifying abstraction I joined LinkedIn about six years ago at a particularly interesting time. We were just beginning to run up against the limits of our monolithic, centralized database and needed to start the transition to a portfolio of specialized distributed systems. This has been an interesting experience: we built, dep
Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology AI/ML Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML). Future of the Firm Everything from new organizational structures and payment schemes to new expectations, skills, and tools will shape the future of the fi
Bulletin of the Technical Committee on Data Engineering June 2012 Vol. 35 No. 2 IEEE Computer Society Letters Letter from the Editor-in-Chief. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .David Lomet 1 Nominations for Chair of TCDE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Paul Larson and Masaru Kitsuregawa 2 Lette
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