Amir Netz

TL;DR: In this article, a weighted benefit/cost ratio is used to design aggregations according to the usage statistics including frequency counts for queries issued to the system, and the system maintains benefit and cost data for aggregations in terms of row scans saved and number of rows required to store an aggregation.

TL;DR: In this article, a centralized key performance indicator (KPI) framework and systems and methods of utilization are presented, where KPIs can be defined and centrally stored as data or metadata in a data store, and an interface is provided to allow KPI data to be requested and retrieved from a source such as a database.

TL;DR: In this paper, the authors present a system and methodology associated with providing a flexible unified view of key performance indicators (KPIs), which makes it easier for front-end applications to access and display KPIs in an easily customizable form.

TL;DR: In this paper, column based data encoding where raw data to be compressed is organized by columns, and then, as first and second layers of reduction of the data size, dictionary encoding and/or value encoding are applied to the data to create integer sequences that correspond to the columns, a hybrid greedy run length encoding and bit packing compression algorithm further compacts the data according to an analysis of bit savings.

TL;DR: In this article, column-oriented data encoded structures are used for query processing over large scale data storage, and more specifically, with respect to join operations, and a scalable, fast algorithm is provided to query processing in memory, which constructs an auxiliary data structure, also columnoriented, for use in join operations.