Add to ORKGThis talk will provide overview of big data software engineering and software engineering for big data as the tow fields need integrated. The interplay between the two field of research applications of Data Science and Software Engineering will enhance future perspective for a safe, secure, and sustainable approaches to data science and application of data science for 50 years of software engineering data that exists
The goal of this chapter is to shed light on different types of big data applications needed in vari...
Abstract: Changes is the natural phenomenon which we have to accept everywhere in our life. Let’s em...
Big Data must be processed with advanced collection and analysis tools, based on predetermined algor...
Software Engineering has evolved over the last 50 years, initially as a response to the so-called so...
Software Engineering has evolved over the last 50 years, initially as a response to the so-called so...
Software engineering has evolved over the last 50 years, initially as a response to the so-called so...
Software engineering has evolved over the last 50 years, initially as a response to the so-called so...
Software engineering has evolved over the last 50 years, initially as a response to the so-called so...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
In recent years, the development of systems for processing and analyzing large amounts of data (so-c...
Most prevailing software engineering methodologies assume that software systems are developed from s...
Context: Big Data systems are a class of software systems that ingest, store, process and serve mass...
The goal of this chapter is to shed light on different types of big data applications needed in vari...
Abstract: Changes is the natural phenomenon which we have to accept everywhere in our life. Let’s em...
Big Data must be processed with advanced collection and analysis tools, based on predetermined algor...
Software Engineering has evolved over the last 50 years, initially as a response to the so-called so...
Software Engineering has evolved over the last 50 years, initially as a response to the so-called so...
Software engineering has evolved over the last 50 years, initially as a response to the so-called so...
Software engineering has evolved over the last 50 years, initially as a response to the so-called so...
Software engineering has evolved over the last 50 years, initially as a response to the so-called so...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
In recent years, the development of systems for processing and analyzing large amounts of data (so-c...
Most prevailing software engineering methodologies assume that software systems are developed from s...
Context: Big Data systems are a class of software systems that ingest, store, process and serve mass...
The goal of this chapter is to shed light on different types of big data applications needed in vari...
Abstract: Changes is the natural phenomenon which we have to accept everywhere in our life. Let’s em...
Big Data must be processed with advanced collection and analysis tools, based on predetermined algor...