Stadtbibliothek Karlsruhe - die Onleihe. Tous les titres pour Ponnambalam, Kumaran

IT operations is one of the key business functions for modern enterprises. As data centers become la ...

A global economy and remote workforce have made it difficult for HR departments to track employee sa ...

Stream processing is rapidly growing in popularity, as more and more data is generated every day by  ...

Stream processing is becoming more popular as more and more data is generated by websites, devices,  ...

Frameworks such as Apache Flink can help you build fast, scalable stream processing applications, bu ...

One of the key components of a big data processing pipeline is a scalable and distributed message qu ...

Scalable and distributed message queuing plays an important role in building real time big data pipe ...

Apache Hadoop was a pioneer in the world of big data technologies, and it continues to be a leader i ...

From an engineering perspective, scalability is one of the most pressing challenges in data science. ...

Business analytics encompasses a set of tools, technologies, processes, and best practices that are  ...

Business analytics allows us to learn from the past and make better predictions for the future. Ther ...

Over the past few years, the database world has seen a plethora of new database types appear: docume ...

MySQL is an excellent database for advanced analytics, but few analysts use it that way because they ...

Real-time systems have guaranteed response times that can be sub-seconds from the trigger. Meaning t ...

Batch mode consolidates data-related operations in order to reduce the load on networks. Batch mode  ...

In order to construct data pipelines and networks that stream, process, and store data, data enginee ...

Data science is an application area that''s exponentially growing, consuming huge amounts of data an ...

Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise  ...

Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise  ...

Predictive analytics use historic data to look forward, enabling organizations to make better decisi ...