Remove Dashboards Remove KPI Remove Metadata
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The Role Of Data Warehousing In Your Business Intelligence Architecture

datapine

While BI outputs information through data visualization, online dashboards , and reporting, data warehouse outlines data in dimension and fact tables for upstream applications (or BI tools). In this context, the need for utilizing a proper tool, a stable business intelligence dashboard and data warehouse increased exponentially.

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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

Enabling teams to build their own analyses at scale The Insights team builds dashboards and supports thousands of internal consultants and hundreds of analysts and engineers across the globe who drive local products and insights. Last year, this team also reported over 29,600 distinct views on their 19 dashboards.

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Top 10 Key Features of BI Tools in 2020

FineReport

They prefer self-service development, interactive dashboards, and self-service data exploration. Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. Analytics dashboards. Embed analysis content.

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Cloudera DataFlow for the Public Cloud: A technical deep dive

Cloudera

CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud. This will create a JSON file containing the flow metadata.

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CCPA 2020: Getting Your Data Landscape Ready

Octopai

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze. Keeping the Lights On with Automated Metadata Management. Not Yet CCPA Compliant?

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Best practices for enabling business users to answer questions about data using natural language in Amazon QuickSight

AWS Big Data

QuickSight is a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale. Q uses the same QuickSight datasets you use for your dashboards and reports so your data is governed and secured.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 1

AWS Big Data

Each record in a hub table is married with metadata that identifies the record’s creation time, originating source system, and unique business key. The presentation marts, also known as the data mart layer, further reorganizes the data for optimized consumption by downstream clients such as business dashboards.