Data is the lifeblood of any organization. In today's world, organizations recognize the vital
role of data in modern business intelligence systems for making meaningful decisions and …

We present operational experience running Snowflake, a cloud-based data warehousing
system with SQL support similar to state-of-the-art databases. Snowflake design is motivated …

Purpose–The purpose of this paper is to examine the failures of business intelligence (BI)
implementations and to understand why they fail as well as what action can be taken to …

Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy" A unique and
authoritative book that blends recent research developments with industry-level practices for …

The software processes that facilitate the original loading and the periodic refreshment of the
data warehouse contents are commonly known as Extraction-Transformation-Loading (ETL) …

The growth of the Internet opens up tremendous opportunities for cooperative computation,
where the answer depends on the private inputs of separate entities. Sometimes these …

Manufacturing companies in high-wage countries are increasingly set under pressure in
international competition due the lower production costs in low-wage countries. In order to …

Business Intelligence (BI) refers to technologies, tools, and practices for collecting,
integrating, analyzing, and presenting large volumes of information to enable better decision …

Multidimensional modeling requires specialized design techniques. Though a lot has been
written about how a data warehouse should be designed, there is no consensus on a design …

Next generation business intelligence involves data flows that span different execution
engines, contain complex functionality like data/text analytics, machine learning operations …