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5 ways to maximize your cloud investment

CIO Business Intelligence

Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Plus, you need to balance the FinOps team’s need for autonomy against the CIO’s need for centralized control to gain economies of scale and avoid runaway costs.

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The new value calculator: Levers for business optimization

CIO Business Intelligence

As we move further into the digital age, we continue to see a growing emphasis on data-driven decision-making. And as a result, there has been a surge in the development of new products, tools, and platforms competing to help businesses analyze and utilize more data, more effectively. What if this creates a new data silo, etc.?

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How to optimize Google Cloud Platform cloud costs with IBM Turbonomic

IBM Big Data Hub

Google Cloud Platform (GCP) enables customers to build, manage and deploy modern, scalable applications to achieve digital business success. However, due to its complexity, achieving operational excellence in the cloud is difficult. Let’s review how IBM Turbonomic helps customers optimize their GCP cloud costs.

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Mulesoft, Tableau uptake fuels Salesforce growth spurt

CIO Business Intelligence

Despite a tumultuous couple of months, strong user uptake of Tableau business intelligence and MuleSoft data automation and integration software fueled a surprising 14% year-over-year jump in revenue for Salesforce’s fourth quarter. billion, according to data from Yahoo Finance. Posting revenue of $8.38

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Cloudera Data Warehouse Demonstrates Best-in-Class Cloud-Native Price-Performance

Cloudera

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. With pay-as-you-go pricing, platforms that deliver high-performance benefit users not only through faster results but also through direct cost savings.

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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Some use case examples will help.

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What Is Rum data and why does it matter?

IBM Big Data Hub

What is RUM data? Contrary to what you might think, RUM data isn’t a performance indicator for Captain Morgan, Cuban tourism or a Disney film franchise. Real User Monitoring (RUM) data is information about how people interact with online applications and services. Are there alternatives to RUM data? Actually, yes!

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