BigDataFr recommande : L’ENS Paris-Saclay, Atos et le CEA créent une Chaire sur la data industrielle […] Encore une Chaire sur le big data. Elle est créée par l’Ecole normale supérieure Paris-Saclay avec le groupe français de services au numérique Atos et le Commissariat à l’énergie atomique et aux énergies alternatives (CEA). L’initiative s’inscrit dans […]
Documentation
[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 […]
[Usine Digitale] BigDataFr recommande : L’ENS Paris-Saclay, Atos et le CEA créent une Chaire sur la data industrielle
BigDataFr recommande : L’ENS Paris-Saclay, Atos et le CEA créent une Chaire sur la data industrielle […] Encore une Chaire sur le big data. Elle est créée par l’Ecole normale supérieure Paris-Saclay avec le groupe français de services au numérique Atos et le Commissariat à l’énergie atomique et aux énergies alternatives (CEA). L’initiative s’inscrit dans […]
[HAL] BigDataFr recommends: Supporting multiple data stores based applications in cloud environments
BigDataFr recommends: Supporting multiple data stores based applications in cloud environments Abstract […]The production of huge amount of data and the emergence of Cloud computing have introduced new requirements for data management. Many applications need to interact with several heterogeneous data stores depending on the type of data they have to manage: traditional data types, […]
[Informationweek] BigDataFr recommends: 8 Critical Elements Of A Successful Data Integration Strategy
BigDataFr recommends: 8 Critical Elements Of A Successful Data Integration Strategy […] Data integration is more important than ever as organizations look to leverage the data they have to create greater value. Yet, the task of data integration has only become more complex because the amount of data collected, ingested, stored, and analyzed has increased. Enterprises […]
[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 […]
[Fastcompany] BigDataFr recommends: Where Top Talent In The Tech Industry Will Likely Work Next
BigDataFr recommends: Where Top Talent In The Tech Industry Will Likely Work Next […] Wherever the best engineers, programmers, and designers in the tech industry go, investment dollars, successful products, and revenues may often follow. The flow of talent in the technology industry is complex, but it can also serve as a key indicator of […]
[arXiv] BigDataFr recommends: Correct classification for big/smart/fast data machine learning
BigDataFr recommends: Correct classification for big/smart/fast data machine learning Subjects: Learning (cs.LG); Information Theory (cs.IT) […] Table (database) / Relational database Classification for big/smart/fast data machine learning is one of the most important tasks of predictive analytics and extracting valuable information from data. It is core applied technique for what now understood under data science […]
[cmswire] BigDataFr recommends: #Data Scientists vs. BI Analysts: What’s the Difference?
BigDataFr recommends: Data Scientists vs. BI Analysts: What’s the Difference? […] Business intelligence and data science often go hand in hand. Both fields focus on deriving business insights from data, yet data scientists are regularly touted as the unicorns of big data analysis. Why is this? The fact is, while many of the responsibilities, techniques and […]
[Datascienceplus] BigDataFr recommends: The importance of Data Visualization
BigDataFr recommends: The importance of Data Visualization […] Before we perform any analysis and come up with any assumptions about the distributions of and relationships between variables in our datasets, it is always a good idea to visualize our data in order to understand their properties and identify appropriate analytics techniques. In this post, let’s […]