Add to ORKGToday’s fast-paced businesses have to make business decisions in real time. That creates pressure on IT leaders to develop Big Data infrastructure and applications capable to process large volume of data from different sources, apply advanced analytics and present recommendations in real time. These applications work in distributed, multi-tier, virtualized, parallel processing environment, where each cluster and system has own performance management tools and dedicated performance repositories. It creates a lot of obstacles for Applications Performance Management and Capacity Management of Big Data environment
This paper investigates the organizational challenges raised by Big Data and its impact on the busin...
The emergence of new data types in the big data era implicates the need to analyze and exploit them ...
Organizations are attempting to harness the power of big data analytics. Enterprise architecture can...
Today’s fast-paced businesses have to make business decisions in real time. That creates pressure...
As the complexity of enterprise systems increases, the need for monitoring and analyzing such system...
The most significant enterprise system topic over the last decade is business intelligence and analy...
In a complex Big Data environment applications compete for resources and affect each other perform...
BI & DA have been used for years to evaluate bulk data but these technologies reach their limits whe...
The selection of the Big Data algorithms, YARN rules and infrastructure can affect accuracy, perform...
One of the most important sources of competitive advantage in today’s business environment is inform...
The use of electronics to implement IT solutions has generally known about big data since recent cen...
The phenomenon called Big Data (BD) refers to the presence of large amounts of data that are both st...
Business Intelligence and Data Analytics (BI & DA) have been used for years to evaluate bulk data bu...
International audienceIn the context of digitalization, some companies are considering a transition ...
There has been a dramatic increase in the amount of data generated which is currently measured in ze...
This paper investigates the organizational challenges raised by Big Data and its impact on the busin...
The emergence of new data types in the big data era implicates the need to analyze and exploit them ...
Organizations are attempting to harness the power of big data analytics. Enterprise architecture can...
Today’s fast-paced businesses have to make business decisions in real time. That creates pressure...
As the complexity of enterprise systems increases, the need for monitoring and analyzing such system...
The most significant enterprise system topic over the last decade is business intelligence and analy...
In a complex Big Data environment applications compete for resources and affect each other perform...
BI & DA have been used for years to evaluate bulk data but these technologies reach their limits whe...
The selection of the Big Data algorithms, YARN rules and infrastructure can affect accuracy, perform...
One of the most important sources of competitive advantage in today’s business environment is inform...
The use of electronics to implement IT solutions has generally known about big data since recent cen...
The phenomenon called Big Data (BD) refers to the presence of large amounts of data that are both st...
Business Intelligence and Data Analytics (BI & DA) have been used for years to evaluate bulk data bu...
International audienceIn the context of digitalization, some companies are considering a transition ...
There has been a dramatic increase in the amount of data generated which is currently measured in ze...
This paper investigates the organizational challenges raised by Big Data and its impact on the busin...
The emergence of new data types in the big data era implicates the need to analyze and exploit them ...
Organizations are attempting to harness the power of big data analytics. Enterprise architecture can...