We argue for a richer view of the space of lightweight compression schemes for columnar DBMSes: We demonstrate how even simple simple schemes used in DBMSes decompose into constituent schemes through a columnar perspective on their decompression. With our concrete examples, we touch briefly on what follows from these and other decompositions: Composition of alternative compression schemes as well as other practical and analytical implications
Sorting database tables before compressing them improves the compression rate. Can we do better than...
Sorting database tables before compressing them improves the compression rate. Can we do better than...
In this demo, we present MorphStore, an in-memory column store with a novel compression-aware query ...
Column-oriented database system architectures invite a reevaluation of how and when data in database...
Columnar databases have dominated the data analysis market for their superior performance in query p...
Modern columnar databases heavily use compression to reduce memory footprint and boost query executi...
Analytics is moving to the cloud and data is moving into data lakes. These reside on object storage ...
Domain encoding is a common technique to compress the columns of a column store and to accelerate ma...
Data compression is one way to gain better performance from a database. Compression is typically ach...
We formulate a conceptual model for white-box compression, which represents the logical columns in t...
Column oriented databases store columns contiguously on disk. The adjacency of values from the same ...
Column-oriented data are well suited for compression. Since values of the same column are stored con...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
Dictionary-based modelling is the mechanism used in many practical compression schemes. For example,...
Wide instruction formats make it possible to control microarchitecture resources more precisely by t...
Sorting database tables before compressing them improves the compression rate. Can we do better than...
Sorting database tables before compressing them improves the compression rate. Can we do better than...
In this demo, we present MorphStore, an in-memory column store with a novel compression-aware query ...
Column-oriented database system architectures invite a reevaluation of how and when data in database...
Columnar databases have dominated the data analysis market for their superior performance in query p...
Modern columnar databases heavily use compression to reduce memory footprint and boost query executi...
Analytics is moving to the cloud and data is moving into data lakes. These reside on object storage ...
Domain encoding is a common technique to compress the columns of a column store and to accelerate ma...
Data compression is one way to gain better performance from a database. Compression is typically ach...
We formulate a conceptual model for white-box compression, which represents the logical columns in t...
Column oriented databases store columns contiguously on disk. The adjacency of values from the same ...
Column-oriented data are well suited for compression. Since values of the same column are stored con...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
Dictionary-based modelling is the mechanism used in many practical compression schemes. For example,...
Wide instruction formats make it possible to control microarchitecture resources more precisely by t...
Sorting database tables before compressing them improves the compression rate. Can we do better than...
Sorting database tables before compressing them improves the compression rate. Can we do better than...
In this demo, we present MorphStore, an in-memory column store with a novel compression-aware query ...