The Cost Saving Check-List for Reducing Data Lake Costs

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April 16, 2024 by

Are you feeling the pinch of balancing cost savings and performance for your data lake? With the exponential growth of big data, it’s more important than ever to get a handle on rising cloud costs.

Fortunately, Qubole is here to help. Our Cost Explorer provides simple, streamlined tools to track your spending, justify business plans, and optimize your data lake costs – all in one user-friendly interface.

By gaining granular visibility into workloads at the job, cluster, and cluster instance levels, you can unleash performance while keeping your budget under control.

Here’s a quick guide on how to leverage Cost Explorer to maximize efficiency and minimize costs:

✅ Gain strategic insights: Use Cost Explorer’s dashboards to get a high-level view of your overall data lake spend. See which resources have the highest and lowest costs so you can optimize your total cost of ownership.

✅ Drill down to specifics: Get granular and calculate the dollar spend for each individual big data workload. This allows you to determine ROI at the project or portfolio level. Tags and filters let you slice and dice the data however you need.

✅ Plan ahead: Use historical job, user, and cluster-level metrics to create a budget and forecast future spend. Cost Explorer makes it easy to identify usage trends and patterns.

✅ Get the right cluster size: Determine if your clusters are over- or under-provisioned. You may be able to downsize clusters or shut them down when not in use to reduce costs without sacrificing performance.

✅ Leverage the latest innovations: Qubole partners with leading cloud providers to give you access to the most cost-efficient computing resources. For example, AWS Graviton processors deliver up to 3x the savings for better cloud performance on a budget.

The beauty of Qubole is that it’s an open platform, allowing for seamless collaboration across data engineers, data scientists, analysts and more. Technical and non-technical teams can work together asynchronously to gain insights while keeping costs down.

Don’t stick your head in the sand when it comes to cloud costs. Qubole’s research shows that our data lake platform delivers all the features at half the cost of alternatives like Databricks and AWS EMR. Why not give Cost Explorer a try to see exactly how much you can save?

With a monitored, managed and cost-controlled data lake, you’ll be able to unleash performance and innovate with confidence. Qubole grows with you, providing a scalable, secure multi-cloud platform for machine learning, streaming analytics, data exploration and ad-hoc analytics.

Learn more about Qubole’s Open Data Lake Platform and get started optimizing your costs today.

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