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by Dorra Dhouib | Jun 3, 2019 | Big Data
The recommendation engine is at the heart of the business strategy of all e-commerce giants. For example, 35 percent of Amazon’s e-commerce revenue is generated by its referral engine, according to a McKinsey study. We see every day the carousels of products...by Morgan Grignard | May 29, 2019 | Big Data
In modern information systems, we are confronted with ever-increasing volumes of data requiring to be processed in real time. However, the point-to-point connections commonly used do not allow easy loading scalability. Data producing services have a strong link with...by Grow Together | May 29, 2019 | Big Data
During this year’s edition of the Paris Big Data conference, amid an infinite set of booths filled with flashy promises of performance and scalability, one company stood out from the rest. Couchbase, the document-oriented NoSQL database, came to the conference armed...by Grow Together | Mar 6, 2019 | Big Data
This is the first article in a serie that’ll discuss the mechanisms behind Apache Spark and how this data-processing Framework disrupted the Big Data ecosystem. While giving you key recommendations to fine-tune your Spark jobs. Spark does things fast. That has...by Grow Together | Mar 6, 2019 | Big Data
This is the third and last article of the Spark-centered series. Reading the first and second parts is highly recommended before going through this one, in which we’ll discuss how you could optimize Spark jobs from your end of the spectrum. Throughout the past article...by Grow Together | Feb 27, 2019 | Big Data
This is the second article in the “Why is Spark Fast? And how to make it run faster “series”. The serie discusses the mechanisms behind Apacha Spark and how this data-processing Framework disrupted the Big Data ecosystem. Reading the first part...