Reasons why your Big Data Cloud Migration Fails and Ways to Overcome

Presented by

Chris Santiago, Global Solution Engineering Director, Unravel Data

About this talk

The Cloud brings many opportunities to help implement big data across your enterprise and organizations are taking advantage of migrating big data workloads to the cloud by utilizing best of breed technologies like Databricks, Cloudera, Amazon EMR and Azure HDI to name a few. However, as powerful as these technologies are, most organizations that attempt to use them fail. Join Chris Santiago, Director of Solution Engineering as he shares the top reasons why your big data cloud migration fails and ways to overcome it. He will cover: The top considerations and under estimated efforts you need to be aware of The importance of getting the right strategy, right fit and right use cases for cloud migration The most common cloud models that will work for you How Unravel can help optimize resources to help mitigate the risks of migration

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At Unravel, we see an urgent need to help every business understand and optimize the performance of their applications, while managing data operations with greater insight, intelligence, and automation. For these businesses, Unravel is the AI-powered data operations company. We offer novel solutions that leverage AI, machine learning, and advanced analytics to help you fully operationalize the way you drive predictable performance in your modern data applications and pipelines.