Webtools: No Registration Needed for Students | Nathan Hall
Top 10 Search Modifiers: Why They Matter, What They Are & How To Use Them Google is working hard to improve search, and it’s doing such a great job that the general public doesn’t seem to be noticing. With the inclusion of personalization, localization, customization, and with the depth of data Google knows and understands about the average user, it’s easy to overlook how much goes into making a useful (intuitive) search. Especially when you factor in how little the average person understands Google, or how Google search actually works. Yet despite Google’s improvement, or perhaps because of it, people seem to be losing their ability to perform advanced searches within Google — something I’d define as critical to navigating the Web efficiently and effectively, especially as a search marketer.
I had an interesting briefing a few weeks ago from Bottlenose, which sells what it calls a real-time “trend intelligence” system. The general idea is almost boringly straightforward: monitor events as they occur and pick out new and interesting information. But the technology to make this happen is mind-bogglingly complex, since it includes real-time ingestion of diverse data types, several levels of natural language processing, and sophisticated trend detection. Customer Experience Matrix
Overview Big data can be stored, acquired, processed, and analyzed in many ways. Every big data source has different characteristics, including the frequency, volume, velocity, type, and veracity of the data. When big data is processed and stored, additional dimensions come into play, such as governance, security, and policies. Choosing an architecture and building an appropriate big data solution is challenging because so many factors have to be considered. Big data architecture and patterns, Part 1: Introduction to big data classification and architecture
Interesting & Useful