The cloud is today one of the most expensive resources for any modern organization, second only to employee salaries and overhead. According to recent research by Gartner, end-user spending on public cloud services will reach $396 billion in 2021 and grow 21.7% to reach $482 billion in 2022. By 2026, Gartner predicts public cloud spending will exceed 45% of all enterprise IT spending, up from less than 17% in 2021.

Thinking about using Google Dataproc as your cloud vendor? We can see why. Google Dataproc is a powerful tool for analytics and data processing, but to get the most out of it you have to ensure you use it properly. We’re going to explore five best practices you can use to lower your Google cloud costs while maximizing efficiency: Following these tips will ensure the best performance and help keep your cloud costs in line.

We couldn’t be more excited here at Anodot at the announcement of the acquisition of Pileus. Acquiring a company is a very special event, a moment that is the culmination of months of thought and deliberation. Is there a strong synergy between the two entities? Do we share the same DNA and culture? Is the additional product aligned with our long-term vision?

Here at Pepperdata, we continuously work to improve our products and better serve our customers. Whether it’s executing more big data workloads or ensuring their resource consumption remains optimal, we want our customers to get the best value and tangible benefits from our products while not overshooting their big data cloud budgets. Today, we’re bringing you the data to back up our claims that all of this is possible.