Managing Big Data Analytics in the Cloud–Are You Ready?

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Presented by

Alex Pierce, Pepperdata Field Engineer

About this talk

Big data with cloud computing is a powerful combination that can transform your organization, process and analyze your big data faster, and improve your products and business with actionable insights. Bringing your big data cluster to the cloud presents huge opportunities, but there are some challenges that need to be overcome. Is your organization really ready for the complexity of managing big data analytics in the cloud? Most big data enterprises have either adopted cloud computing to improve IT operations and develop better software, faster, or they have an initiative to get there. Preparing for a successful move to the cloud is the difference between realizing the ROI the cloud promises, managing impatient stakeholders and SLAs, and possibly moving back to an on-premises solution. Creating an accurate cloud footprint requires good planning, a deep understanding of resource utilization, and granular data. In this webinar, we’ll discuss how to prepare and ensure that your organization has a solid plan to manage big data analytics in the cloud. Topics include: – Primary characteristics of big data and putting your data in the cloud – The challenges of managing big data performance in the cloud – FinOps (chargeback, analyzing wasted spend) – Planning for day 2 – Achieving cloud performance – Observability, continuous tuning, and managed autoscaling

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Pepperdata is the Big Data performance company. Fortune 1000 enterprises depend on Pepperdata to manage and optimize the performance of Hadoop and Spark applications and infrastructure. Developers and IT Operations use Pepperdata soluions to diagnose and solve performance problems in production, increase infrastructure efficiencies, and maintain critical SLAs. Pepperdata automatically correlates performance issues between applications and operations, accelerates time to production, and increases infrastructure ROI. Pepperdata works with customer Big Data systems on-premises and in the cloud.