Data Warehouse Optimization Slice and Dice 
Sisense
JULY 7, 2020
In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses.
Cloudera
JULY 21, 2022
Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.
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datapine
MAY 21, 2019
Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources.
Cloudera
JANUARY 28, 2022
Portable, interoperable data services for the lifecycle of data across clouds. A decision framework to automate and optimize workload execution. Open and extensible to support new clouds, data types and data services. What data do I need to achieve these objectives?
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.
CIO Business Intelligence
OCTOBER 19, 2023
What you get isn’t a static report; it’s a dynamic model that you can drag and drop various Power BI data sets onto to simulate or optimize various options. Perform real-time analytics on streaming data flows Traditionally, BI is done on data extracted from a database at scheduled intervals.
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?
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