Jordan, a data engineer, avoids unnecessary data storage by offloading 30% of a 2.5 GB dataset to the cloud. Later, he compresses the remaining local data by 40%. What is the final size of the local dataset in GB?

Thu, 16 Apr 2026 07:08:51 +0000

**Jordan, a data engineer, avoids unnecessary data storage by offloading 30% of a 2.5 GB dataset to the cloud. Later, he compresses the remaining local data by 40%. What is the final size of the local dataset in GB?** In today’s fast-paced digital world, managing vast amounts of data efficiently is a growing concern for professionals across industries. With data volumes swelling—now estimated at 2.5 trillion gigabytes globally—organizations and individuals alike are seeking smarter ways to reduce storage demands. For Jordan, a data engineer, this challenge becomes personal: reducing impact on local systems while maximizing access and performance. By strategically offloading part of a large dataset to the cloud, he preserves local capacity without sacrificing immediate usability. This approach reflects a broader trend among tech professionals who balance data accessibility with sustainable storage practices. Offloading 30% of a 2.5 GB dataset to the cloud cuts data stored locally by 750 million bytes—roughly 30% of the original size. This leaves 1.75 GB of data on hand, a practical move emphasizing thoughtful resource allocation and cloud hybrid strategies. After offloading, Jordan proceeds to compress the remaining data with advanced algorithms, achieving a 40% reduction in local storage volume. Compression transforms unused or redundant information into a streamlined form, shrinking file size without losing essential structure or metadata. Calculating this simple percentage: 40% off of 1.75 GB equals a 700-megabyte gain—resulting in a final local dataset size of 1.05 GB.