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Business Intelligence tools & use cases

Apiumhub

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

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Analyze customer reviews using Amazon Bedrock

AWS Machine Learning - AI

Visualization – Generate business intelligence (BI) dashboards that display key metrics and graphs. The architecture carries out the following steps: Customer reviews can be imported into an Amazon Simple Storage Service (Amazon S3) bucket as JSON objects.

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Power BI vs Tableau: Which Should You Choose in 2022?

Perficient

According to data from Gartner , Power BI and Tableau are the first- and second-most popular business intelligence tools on the market. Part of the appeal of using business intelligence tools is that everything you need is at your fingertips. Power BI only works on Microsoft Windows. With an average 4.4-star

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What is Cloud Computing? Everything You Need to Know – Architecture, Benefits & Much More

Openxcell

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning - AI

This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock. This solution uses Amazon Bedrock, Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB , and Amazon Simple Storage Service (Amazon S3).

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Fundamentals of Data Engineering

Xebia

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

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Ask Miss O11y: Observability vs BI Tools & Data Warehouses

Honeycomb

You probably have already answered this before, but do you have a good rule of thumb for where o11y [observability] ends and BI [business intelligence]/data warehouses begin? It is most important under times of stress or duress, when predictability goes out the window. Monitoring! And it’s fast.

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