Remove Business Intelligence Remove Cloud Computing Remove Data Warehouse
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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale.

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Visualize Your Data With Google Looker Studio

Analytics Vidhya

Source: [link] Introduction In today’s digital world, data is generated at a swift pace. Data in itself is not useful unless we present it in a meaningful way and derive insights that help in making key business decisions. Business Intelligence (BI) tools serve the […].

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Are Data Warehouses Still Relevant?

Dataversity

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant? appeared first on DATAVERSITY.

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On-Prem vs. The Cloud: Key Considerations 

phData

In this post, we will be particularly interested in the impact that cloud computing left on the modern data warehouse. We will explore the different options for data warehousing and how you can leverage this information to make the right decisions for your organization. What is The Cloud?

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How an MIS degree prepares you for the intersection of business and analytics

Dataconomy

Courses that ground you in business logic MIS students often study accounting , finance , marketing , and organizational behavior alongside technical modules. This mix ensures they understand the language and priorities of business leaders. Their capacity to bridge data insights and business results is much in demand.

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Microsoft secures your place in the world of business

Dataconomy

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

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The Modern Data Stack Explained: What The Future Holds

Alation

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. Reverse ETL tools.