BigDataFr recommends: 5 interview questions for big data engineers… and how to answer them Big data engineers work to understand business objectives and translate those objectives into data processing workflows. These professionals are typically responsible for gathering and processing raw data, evaluating new data sources for acquisition and integration, and designing and implementing relational databases […]

BigDataFr recommends: Making problems tractable on big data via preprocessing with polylog-size output To provide a dichotomy between those queries that can be made feasible on big data after appropriate preprocessing and those for which preprocessing does not help, Fan et al. developed the ⊓-tractability theory. This theory provides a formal foundation for understanding the […]

BigDataFr recommande : De Statisticien à Data Scientist Résumé Selon un rapport récent de la commission européenne, le monde génère chaque minute 1,7 millions de milliards d’octets de données, soit l’équivalent de 360 000 DVD, et les entreprises qui bâtissent leur processus décisionnels en exploitant ces données accroissent leur productivité. Le traitement et la valorisation […]

BigDataFr recommends: Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions Excerpt The emergence of cloud computing has made dynamic provisioning of elastic capacity to applications on-demand. Cloud data centers contain thousands of physical servers hosting orders of magnitude more virtual machines that can be allocated on demand to users in a pay-as-you-go […]

BigDataFr recommends: Job Comparison – Data Scientist vs Data Engineer vs Statistician Excerpt Data Science is a flourishing industry. Countries and companies around the world are continuously experiencing a rush in the amount of data collected. They are determined to hire experts who can work on their data and improve their lives. Such experts are […]