BigDataFr recommends: 5 Warning Signs that Turn Off Data Science Hiring Managers Excerpt As a hiring manager for data analytics positions, I often complain that there are not enough qualified resumes. Most of the resumes that do get passed on to me from recruiters quickly get filed away. Those job candidates belong to one of […]
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[CIO] BigDataFr recommends: 5 interview questions for big data engineers… and how to answer them #datascientist
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 […]
[analyticsvidhya] Must Read Books for Beginners on Big Data, Hadoop and Apache Spark
BigDataFr recommends: Must Read Books for Beginners on Big Data, Hadoop and Apache Spark Excerpt […] Companies are now better aware of our lifestyle, choices and daily routine than we do. Thanks to our data stored by smartphones, wrist bands, fitness tracker, shopping bills etc. But, what good will my data do to these companies? […]
[arXiv] BigDataFr recommends: Making problems tractable on big data via preprocessing with polylog-size output
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 […]
[HAL] BigDataFr recommande : De Statisticien à Data Scientist
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 […]
[arXiv] BigDataFr recommends: Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions
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 […]
[Le Figaro Madame] BigDataFr recommande : Les top models de demain bientôt choisies par un robot ?
BigDataFr recommends: Les top models de demain bientôt choisies par un robot ? Qu’est-ce qui fait la réussite d’un mannequin ? À cette question, même les meilleurs bookers de la terre auraient bien du mal à répondre. C’est en tout cas au big data que des chercheurs de l’université de l’Indiana ont décidé de faire […]
[Techchrunch] BigDataFr recommends: What’s the Value of Your Data?
BigDataFr recommends: What’s the Value of Your Data? Excerpt On September 18, 2015, Comcast reached a $33 million settlement over claims that it published personal information of more than 75,000 customers — even though those customers had specifically paid a fee for their information to be kept private. As a consequence, the company will pay […]
[Blue Yonder] BigDataFr recommends: Data Science is not a marketing discipline
BigDataFr recommends: Data Science is not a marketing discipline Excerpt The term data scientist is extremely vague, and so it’s understandable that it’s often misunderstood. Today, it’s used excessively , and the most diverse people use it to describe their jobs: Marketing specialists call themselves data scientists, as do data experts who work with machine […]
[analyticsvidhya] BigDataFr recommends: Job Comparison – Data Scientist vs Data Engineer vs Statistician #datascientist
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 […]