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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Solution overview Let’s say that your company has two departments: marketing and finance. Each department has multiple cost centers and environments, as illustrated in the following figure.

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How to Future-Proof Your Business Systems with a Data Warehouse

Jet Global

Interestingly, you can address many of them very effectively with a data warehouse. Even that is a pretty big project, but it leaves many finance and accounting organizations feeling like they have settled for a compromise. The Data Warehouse Solution. Pre-Staging Migration Data in the Data Warehouse.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

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Database vs. Data Warehouse: What’s the Difference?

Jet Global

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

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Informatica’s new data management clouds target health, finance services

CIO Business Intelligence

The company said that IDMC for Financial Services has built-in metadata scanners that can help extract lineage, technical, business, operational, and usage metadata from over 50,000 systems (including data warehouses and data lakes) and applications including business intelligence, data science, CRM, and ERP software.

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Treasury Management International: Get Your Finance Team out of the BI Spiral

Jet Global

While BI tools serve many lines of business well and have their obvious merits, they often don’t hit the mark in finance. Finance teams’ reporting needs are too specialised for modern BI tools, so finance needs something different. Data Warehouses Don’t Solve the Problem.

Finance 52