Remove Business Analytics Remove Data Integration Remove Data Warehouse Remove Optimization
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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Fast Provisioning of data through Data Virtualization in the Era of ever-increasing Data Fluidity

Data Virtualization

We are in the midst of a significant transformation in each and every sphere of business. We are witnessing an Industrial 4.0 revolution across the industrial sectors. The way products are getting manufactured is being transformed with automation, robotics, and.

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Building Quick, Robust, and Flexible APIs with Data Virtualization

Data Virtualization

Bring any data to any data consumer, simply and easily: that’s the goal of data virtualization. Yet contrary to what may first come to mind, data consumers are more than simply BI, analytics, or data science applications. Just about every.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?

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Top Business Intelligence Features To Boost Your Business Performance

datapine

Improved decision-making: Making decisions based on data instead of human intuition can be defined as the core benefit of BI software. By optimizing every single department and area of your business with powerful insights extracted from your own data you will ensure your business succeeds in the long run.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

To succeed, a deployment must have the support of key business areas, from the get-go. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. But every stakeholder and their respective business areas should also be involved throughout the process. Define a budget.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Security Data security is a high priority.