Remove Business Intelligence Remove Dashboards Remove Data Lake
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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them.

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Steps taken to build Sevita’s first enterprise data platform

CIO Business Intelligence

As such, the data on labor, occupancy, and engagement is extremely meaningful. Here, CIO Patrick Piccininno provides a roadmap of his journey from data with no integration to meaningful dashboards, insights, and a data literate culture. You ’re building an enterprise data platform for the first time in Sevita’s history.

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. They are the same.

Data Lake 122
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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards. The final model provides sales teams with the highest-value opportunities, which they can visualize in a business intelligence dashboard and take action on immediately.

Analytics 112
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How BMW streamlined data access using AWS Lake Formation fine-grained access control

AWS Big Data

This led to inefficiencies in data governance and access control. AWS Lake Formation is a service that streamlines and centralizes the data lake creation and management process. The Solution: How BMW CDH solved data duplication The CDH is a company-wide data lake built on Amazon Simple Storage Service (Amazon S3).

Data Lake 108
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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

Amazon DataZone now launched authentication supports through the Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone , to make data discoverable by data consumers across different business units so that they can innovate faster. The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau.

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