Remove Data Warehouse Remove Metrics Remove Slice and Dice Remove Testing
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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Co-author: Mike Godwin, Head of Marketing, Rill Data. Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Cloudera Data Warehouse).

Metrics 86
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Simplify data loading into Type 2 slowly changing dimensions in Amazon Redshift

AWS Big Data

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

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Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. You can remove this filter in your test to view data for all regions.

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Unlock Your Oracle ERP Data: Discover the Angles Views Lite and Wands for Oracle Advantage

Jet Global

With limited technical capabilities your team might struggle to slice and dice data, uncover hidden patterns, or perform deep dives into specific areas. This eliminates your need to write and test complex queries from scratch, a significant time-suck that delays access to crucial insights.

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What Is Embedded Analytics?

Jet Global

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group. Reports A tabular display of data, often with numerical figures grouped in categories.