In the last two decades, relational databases for analytics have been specialized to address the needs of analytical workloads. For instance, analytical workloads often focus on a few attributes (or columns) instead of the whole tuple. Thus, many analytical databases have opted to store the data in a columnar layout to reduce the I/O cost. Additionally, relational databases for analytics have shifted from interpreter structures for query processing to compiling queries into executable programs that can achieve the performance of hand-written specialized programs. Document store database systems have gained traction for storing and querying large volumes of semi-structured data without requiring the users to pre-define a schema. This flexib...
Recently there have been increasing demands for real-time analytics on rapidly changing data and for...
In order to uncover insights and trends, it is an increasingly common practice for companies of all ...
There are two obvious ways to map a two-dimension relational database table onto a one-dimensional s...
textabstractColumn-oriented database systems (column-stores) have attracted a lot of attention in th...
Contemporary storage systems increasingly offer schema flexibility and support for semi-structured d...
Recently, a ?column store? system called CStore has shown significant performance benefits by utiliz...
In today’s data-driven world, analytical querying, typically based on the data cube concept, is the ...
Five years ago I proposed a common database approach for transaction processing and analytical syste...
As data analytics is used by an increasing number of applications, data analytics engines are requir...
open3noSchemaless databases, and document-oriented databases in particular, are preferred to relatio...
Abstract: Column-oriented database has gained popularity as “Data Warehousing ” data and performanc...
One of the prime goals of the LOD2 project is improving the performance and scalability of RDF stora...
Document stores are preferred to relational ones for storing heterogeneous data due to their schemal...
Column-stores gained popularity as a promising physical de-sign alternative. Each attribute of a rel...
While it is generally accepted that data warehouses and OLAP workloads are excellent applications fo...
Recently there have been increasing demands for real-time analytics on rapidly changing data and for...
In order to uncover insights and trends, it is an increasingly common practice for companies of all ...
There are two obvious ways to map a two-dimension relational database table onto a one-dimensional s...
textabstractColumn-oriented database systems (column-stores) have attracted a lot of attention in th...
Contemporary storage systems increasingly offer schema flexibility and support for semi-structured d...
Recently, a ?column store? system called CStore has shown significant performance benefits by utiliz...
In today’s data-driven world, analytical querying, typically based on the data cube concept, is the ...
Five years ago I proposed a common database approach for transaction processing and analytical syste...
As data analytics is used by an increasing number of applications, data analytics engines are requir...
open3noSchemaless databases, and document-oriented databases in particular, are preferred to relatio...
Abstract: Column-oriented database has gained popularity as “Data Warehousing ” data and performanc...
One of the prime goals of the LOD2 project is improving the performance and scalability of RDF stora...
Document stores are preferred to relational ones for storing heterogeneous data due to their schemal...
Column-stores gained popularity as a promising physical de-sign alternative. Each attribute of a rel...
While it is generally accepted that data warehouses and OLAP workloads are excellent applications fo...
Recently there have been increasing demands for real-time analytics on rapidly changing data and for...
In order to uncover insights and trends, it is an increasingly common practice for companies of all ...
There are two obvious ways to map a two-dimension relational database table onto a one-dimensional s...