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5 Success Stories That Show the Value of Enterprise Public Cloud

In our Five Enterprise Public Cloud Use Cases That Make a Difference eBook, we detail the successes a handful of Cloudera customers have had with CDP. You can download the eBook to get the whole story on each of the five customers and their successes, but in the meantime we want to give you an overview of these success use cases. Use case #1: A biopharmaceutical company doubles its R&D productivity

Healthcare & Life Sciences Data Cloud

Healthcare and life sciences organizations are under unprecedented pressure to adapt and respond to changing patient needs and market conditions. The Healthcare & Life Sciences Data Cloud enables healthcare and life sciences organizations to leverage the full potential of data to help deliver exceptional patient outcomes and accelerate medical innovation, while also enabling the highest levels of data security, governance, and compliance.

The Ultimate Guide to Azure Synapse Analytics

Five things you should know about Azure Synapse Analytics: Azure Synapse Analytics is a scalable, cloud-based data warehousing solution from Microsoft. Upon its launch, Microsoft described it as “the next iteration of Azure SQL Data Warehouse.” In addition to offering all of the technology and features of that platform, Azure Synapse also incorporates business intelligence, data analytics, and machine learning tools for both relational and non-relational data.

The SaaS Providers Handbook for 2022

Many companies find that it is not enough to simply keep up with the competition in their industry. Such well-known organizations as Amazon and Microsoft continually expand their service offerings, making it hard to compete. Innovation continues to be a huge buzzword in the software industry. Tech companies need a reliable way to provide clients with what they need most, which is service wherever and whenever they need it. One industry that does this best is the SaaS (Software as a Service) space.

How To Extract Data From AWS Redshift Through SQL With Ease

SQL is one of the most widely adopted domain languages (i.e., used by over 65 percent of data scientists and analysts), which can help you access and interpret valuable data from AWS Redshift. As a modern-day decision-maker, AWS Redshift and SQL are vital components that drive your SDK. Through PostgreSQL, you can make data-based decisions with Amazon Redshift while minimizing the overall cost of your operations.

What Is the Difference Between AWS Redshift and RDS?

AWS Redshift and RDS are two different database products that AWS offers. If you're not sure which one is right for you, there are a few essential questions to answer before making your decision. This article will explore the differences between these two products and help determine which one would be best for your needs. We'll also take a look at how much it costs to use each product so that you can compare them side-by-side and see what's most affordable for your business.

Cloud Management for the Modern Workload

The road to the data-driven enterprise is not for the faint of heart. The continuous waves of data pounding into ever-complex hybrid multicloud environments only compound the ongoing challenges of management, governance, security, skills, and rising costs, to name a few. But Hitachi Vantara has developed a path forward that combines cloud-ready infrastructure, cloud consulting and managed services to optimize applications for resiliency and performance, and automated dataops innovations.

Building a Flexible Hybrid Cloud for Today and Tomorrow

Although many enterprises are at varying stages in their cloud journeys, most are adopting distributed mixes of on-premises and public cloud environments in order to maintain certain data and applications close by, while making others more accessible and available online. With such distributed cloud networks, core tenants of the enterprise, such as management, scalability and security, become increasingly challenging. There is a path forward, however.

Unlocking New Revenue Models in the Data Cloud

Today’s applications run on data. Customers value applications not only for the functionality they provide, but also for the data itself. It may sound obvious, but without data, apps would provide little to no value for customers. And the data contained in these applications can often provide value beyond what the app itself delivers. This begs the question: Could your customers be getting more value out of your application data?