HRDBMS is a novel distributed relational database that uses a hybrid model combining the
best of traditional distributed relational databases and Big Data analytics platforms such as …

HRDBMS is a novel distributed relational database that uses a hybrid model combining the
best of traditional distributed relational databases and Big Data analytics platforms such as …

Query optimization in relational database management systems (DBMSs) is critical for fast
query processing. The query optimizer relies on precise selectivity and cost estimates to …

We introduce a simple data model to process non-relational data for relational operations,
and SHC (Apache Spark-Apache HBase Connector), an implementation of this model in the …

AsterixDB is a new, full-function BDMS (Big Data Management System) with a feature set
that distinguishes it from other platforms in today's open source Big Data ecosystem. Its …

Relational Database Design and Implementation: Clearly Explained, Fourth Edition,
provides the conceptual and practical information necessary to develop a database design …

The need for modern data analytics to combine relational, procedural, and map-reduce-style
functional processing is widely recognized. State-of-the-art systems like Spark have added …

Enterprises are adapting large-scale data processing platforms, such as Hadoop, to gain
actionable insights from their" big data". Query optimization is still an open challenge in this …

After nearly 4 decades and hundreds of scientific papers, relational query optimization can
hardly be characterized as anything but a huge scientific and commercial success. The …

Many emerging programming environments for large-scale data analysis, such as Map-
Reduce, Spark, and Flink, provide Scala-based APIs that consist of powerful higher-order …