Data Science Data Warehouse Slice and Dice 
datapine
MAY 21, 2019
Also, limited resources make looking for qualified professionals such as data science experts, IT infrastructure professionals and consulting analysts impractical and worrisome. In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources.
CIO Business Intelligence
OCTOBER 19, 2023
The Direct Lake mode in Microsoft Fabric, which provides live access to operational data for analytics, is also available in Power BI for datasets on Lakehouses and (soon) Data Warehouses. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.
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Cloudera
AUGUST 31, 2020
Given the prohibitive cost of scaling it, in addition to the new business focus on data science and the need to leverage public cloud services to support future growth and capability roadmap, SMG decided to migrate from the legacy data warehouse to Cloudera’s solution using Hive LLAP. The case for a new Data Warehouse?
IBM Big Data Hub
DECEMBER 7, 2023
Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.
Birst BI
JUNE 18, 2018
When the data sets are large, with numerous attributes, users spend a lot of time slicing and dicing for newer insights or apply their original hypotheses to a subset of data. How many times might there be other more important factors affecting the outcome that have not been explored?
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