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Developing Agile Data Warehouse Architecture Using Automation

Dataversity

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. In essence, agile […]. In essence, agile […].

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Are Data Warehouses Still Relevant?

Dataversity

The emergence of advanced data storage technologies, such as cloud computing, data hubs, and data lakes, makes us question the role of traditional data warehouses in modern data architecture. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

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Avoid These Mistakes on Your Data Warehouse and BI Projects

Dataversity

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

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Top 30+ Data Warehouse Interview Questions You Must Know in 2021 | Simplilearn

Simplilearn

A data warehouse allows us to manage the collected data, which can, in turn, helps in providing significant business insights. It is an essential Business Intelligence (BI) field, and this makes Data Warehouse Analysis one of the most sought-after career options today.

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The 6-Step Guide to Integrating Business Intelligence and Analytics

Smart Data Collective

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. In order to make good business decisions, leaders need accurate insights into both the market and day-to-day operations. This article aims to outline the process. Set Up Data Integration.

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Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms!

ElegantJ BI

Without a clear understanding of the various categories and iterations of data management options, the business may make the wrong choice or become so mired in the review process that it will give up its quest. This article is the first of two on the topic of Data Management.

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Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms!

ElegantJ BI

Without a clear understanding of the various categories and iterations of data management options, the business may make the wrong choice or become so mired in the review process that it will give up its quest. This article is the first of two on the topic of Data Management. Data Warehouse.