This paper proposes a big data query system for customized queries based on specific business needs. This paper introduces the components and structure of the query system. ANTLR tools are used as language recognizer to design and implement a customized SQL dialect. The system builds a simpler and easier query interface on Spark SQL, which satisfies the query requirements of the Internet user behavior analysis platform
Big Data analytics has now become quintessential for information exploitation, given the amount and ...
International audienceMultistore systems have been recently proposed to provide integrated access to...
Abstract — HRDBMS is a novel distributed relational database that uses a hybrid model combining the ...
This paper investigates the changes in the e-commerce industry as a result of substantial digitizati...
Advanced analytics and other Big Data applications call for query languages that can express the com...
The paper investigates the main characteristics of SQL and NoSQL, and its comparison in the area of ...
Part 4: Big Data AnalyticsInternational audienceBig Data processing and analytics are dominated by t...
The concept of big data has gained immense significance due to the constant growth of data sets. The...
This paper first integrates big data tools—Hive, Impala, and SparkSQL—which support SQL-...
Organizations adopt different databases for big data which is huge in volume and have different data...
In this era of information world, given any topic, we are able to get relevant data or documents at ...
It is well known that, at the present, a huge amount of information, often referred as Big Data, is ...
In the past years, Big Data has become a hot topic across several business areas. One of the main co...
Abstract—Technological advancement and usage of Information Technology has created huge challenges a...
Effective Big Data applications dynamically handle the retrieval of decisioned results based on stor...
Big Data analytics has now become quintessential for information exploitation, given the amount and ...
International audienceMultistore systems have been recently proposed to provide integrated access to...
Abstract — HRDBMS is a novel distributed relational database that uses a hybrid model combining the ...
This paper investigates the changes in the e-commerce industry as a result of substantial digitizati...
Advanced analytics and other Big Data applications call for query languages that can express the com...
The paper investigates the main characteristics of SQL and NoSQL, and its comparison in the area of ...
Part 4: Big Data AnalyticsInternational audienceBig Data processing and analytics are dominated by t...
The concept of big data has gained immense significance due to the constant growth of data sets. The...
This paper first integrates big data tools—Hive, Impala, and SparkSQL—which support SQL-...
Organizations adopt different databases for big data which is huge in volume and have different data...
In this era of information world, given any topic, we are able to get relevant data or documents at ...
It is well known that, at the present, a huge amount of information, often referred as Big Data, is ...
In the past years, Big Data has become a hot topic across several business areas. One of the main co...
Abstract—Technological advancement and usage of Information Technology has created huge challenges a...
Effective Big Data applications dynamically handle the retrieval of decisioned results based on stor...
Big Data analytics has now become quintessential for information exploitation, given the amount and ...
International audienceMultistore systems have been recently proposed to provide integrated access to...
Abstract — HRDBMS is a novel distributed relational database that uses a hybrid model combining the ...