In this article, we survey recent research on column-oriented database systems, or column-
stores, where each attribute of a table is stored in a separate file or region on storage. Such …

Predicting personalized sequential behavior is a key task for recommender systems. In order
to predict user actions such as the next product to purchase, movie to watch, or place to visit …

DB2 with BLU Acceleration deeply integrates innovative new techniques for defining and
processing column-organized tables that speed read-mostly Business Intelligence queries …

The availability of huge system memory, even on standard servers, generated a lot of
interest in main memory database engines. In data warehouse systems, highly compressed …

This paper focuses on running scans in a main memory data processing system at" bare
metal" speed. Essentially, this means that the system must aim to process data at or near the …

The growing popularity of the JSON format has fueled increased interest in loading and
processing JSON data within analytical data processing systems. However, in many …

Data lineage describes the relationship between individual input and output data items of a
workflow, and has served as an integral ingredient for both traditional (eg, debugging …

Analytics is moving to the cloud and data is moving into data lakes. These reside on object
storage services like S3 and enable seamless data sharing and system interoperability. To …

Database management systems (DBMS) provide incredible flexibility and performance
when it comes to query processing, scalability and accuracy. To fully exploit DBMS features …

Business growth and technology advancements have resulted in growing amounts of
enterprise data. To gain valuable business insight and competitive advantage, businesses …