[Big Data @ Moody’s Analytics (France)] : Software Engineer – Java 8 & Scala More information / apply now Moody’s is an essential component of the global capital markets, providing credit ratings, research, tools and analysis that contribute to transparent and integrated financial markets. Moody’s Corporation (NYSE: MCO) is the parent company of Moody’s Investors […]
Hadoop
[Apply Now!] Big Data @ Moody’s Analytics (France – Grenoble): Software Engineer – Java 8 & Scala – #Hadoop #Spark
[Big Data @ Moody’s Analytics (France)] : Software Engineer – Java 8 & Scala More information / apply now Moody’s is an essential component of the global capital markets, providing credit ratings, research, tools and analysis that contribute to transparent and integrated financial markets. Moody’s Corporation (NYSE: MCO) is the parent company of Moody’s Investors […]
[SAS] BigDataFr recommends: Which machine learning algorithm should I use?
BigDataFr recommends: Which machine learning algorithm should I use? […] This resource is designed primarily for beginning data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is […]
[Les Echos] BigDataFr recommande : Hadoop a-t-il les moyens de résister face au temps réel ?
BigDataFr recommande :Hadoop a-t-il les moyens de résister face au temps réel ? […] Hadoop a longtemps été considéré comme le framework de référence pour tout projet Big Data, affichant des perspectives de croissances ambitieuses. Et pour cause ! Ses efforts d’évangélisation sur le pouvoir des données ont largement contribué à l’émergence du Big Data. […]
[JDN] BigDataFr recommande : Les limites du développement spécifique à l’ère du Big Data
BigDataFr recommande: Les limites du développement spécifique à l’ère du Big Data […] Sur le terrain du Big Data, les rares entreprises qui s’engagent aujourd’hui dans la voie des développements spécifiques, le font soit par manque d’information (elles ne savent tout simplement pas qu’il existe des outils pré packagés), ou très sincèrement, à mon avis, […]
[arXiv] BigDataFr recommends: Big Data Analytics in Cloud environment using #Hadoop
BigDataFr recommends: Big Data Analytics in Cloud environment using Hadoop Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) […] The Big Data management is a problem right now. The Big Data growth is very high. It is very difficult to manage due to various characteristics. This manuscript focuses on Big Data analytics in cloud environment using […]
[Craig Kerstiens] BigDataFr recommends: A Tour of Postgres’ Foreign Data Wrappers
BigDataFr recommends: A Tour of Postgres’ Foreign Data Wrappers […] SQL can be a powerful language for reporting. Whether you’re just exploring some data, or generating reports that show month over month revenue growth it’s the lingua franca for data analysis. But, your data isn’t always in a SQL database, even then if you’re using […]
[SAS] BigDataFr recommends: How to perform real time Text Analytics on Twitter streaming data in SAS ESP
BigDataFr recommends: How to perform real time Text Analytics on Twitter streaming data in SAS ESP […] SAS Event Stream Processing (ESP) cannot only process structured streaming events (a collection of fields) in real time, but has also very advanced features regarding the collection and the analysis of unstructured events. Twitter is one of the […]
[arXiv] BigDataFr recommends : Big Data analytics. Three use cases with R, Python and #Spark #datascientist
BigDataFr recommends: Big Data analytics. Three use cases with R, Python and Spark Subjects: Applications (stat.AP); Learning (cs.LG) […] Management and analysis of big data are systematically associated with a data distributed architecture in the Hadoop and now Spark frameworks. This article offers an introduction for statisticians to these technologies by comparing the performance obtained […]
[HAL] BigDataFr recommends: Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks #datascientist
BigDataFr recommends: Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks Keywords: Spark, Big Data, performance evaluation, Flin Abstract […] Abstract : Big Data analytics has recently gained increasing popularity as a tool to process large amounts of data on-demand. Spark and Flink are two Apache-hosted data analytics frameworks that facilitate the development of […]