Remove 2011 Remove Business Intelligence Remove Data Lake Remove Visualization
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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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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. in lieu of simply landing in a data lake.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Google launches Google Cloud Storage and Google Workspace Marketplace to make business on the cloud easier. 2011: IBM enters the cloud market with IBM SmartCloud. Microsoft also releases Power BI, a data visualization and business intelligence tool. [You can read more on IaaS, PaaS and SaaS here ].

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Known as the person who coined the term Lambda Architecture, co-author Nathan Marz is a well-renowned expert in the field of big data and programming. The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices.

Big Data 263
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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers.