Check out our Big Data Cloud Technology Report for the full story.
The cloud is an exciting, paradigm-shifting technology. It is loaded with both promise and potential. From reducing operational costs to streamlining business processes to innovating product cycles, moving to the cloud is an attractive prospect to most modern organizations.
However, adopting big data in the cloud is not without its challenges. Post-migration issues plague even the most stable and sound of enterprises. In many cases, these challenges have resulted in subpar migration outcomes—even failures.
We surveyed 750 business enterprises to determine how they deployed their big data workloads in the cloud, the challenges they met, and the solutions they sought.
Why Enterprises Move to the Cloud
Cloud computing has become a key pillar to business growth and success, indicated by the big surge of enterprises moving their critical processes and applications from an on-premise model to the cloud. By the end of 2022, over 90% of business organizations around the world are expected to have adopted big data cloud technologies and implemented hybrid cloud strategies.
Mike Cisek, VP Analyst at Gartner, points out that a major driver of cloud adoption is to enable digital transformation while reducing spend. Cloud computing reduces, if not eliminates, the costs associated with hardware upkeep and maintenance.
Among the crucial processes enterprises migrate to the cloud is big data. Organizations store, manage, and analyze their big data in the cloud, mainly because of the cloud’s capacity to handle mountains of raw information from disparate sources.
This is why scalability ranks among the top drivers of adoption. Enterprises can scale up their cloud infrastructure to keep their big data processes running at an optimal pace. Big data stacks automatically expand or compress their compute resources based on their real-time requirements, ensuring workloads are running smoothly.
Cloud computing drives business agility through taking control of disparate business systems, unifying operational silos, and automating time-intensive processes. With big data cloud processes in place, enterprises can rapidly adapt to new processes in the most cost-effective way without hurting their quality.
These are some of the most trumpeted benefits of big data technologies in the cloud. However, moving to the cloud and leveraging big data can be trickier than it seems.
The Challenges of Big Data Operations in the Cloud
While most enterprises expect to see their operational costs substantially reduced after migrating to the cloud, many receive a shock. Their cloud spending has actually exceeded their initial budget.
If cloud computing is meant to drive down c