Logs, events, metadata, Tweets, mobile devices, support tickets, website activity, product interaction … there is so much data we need to collect in order to extract meaningful insights for our business. And yet, the majority of our time is spent cleaning and normalizing it, that by the time we are able to analyze it, it’s old and potentially irrelevant. How can we solve this problem? Search.
By implementing a search engine that can index and store any type of data in real-time (structured and unstructured, human- and machine-generated), you’ll have a solution that can help you draw real insights across your entire organization. This session will dive deeper into why search is the foundation to gain value from “big data” across your business – from marketing, to product, to backend infrastructure – highlighting a few real-world examples, such as fighting credit card fraud, advancing preventive medicine techniques, reducing energy consumption, making advertising more personalized — even solving crimes.
Shay Banon is the creator of Elasticsearch, the open source, distributed, RESTful, search and analytics engine. Before creating Elasticsearch, Shay spent more than a decade building complex distributed systems and open source search solutions.
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