Big data, big storage costs? It doesn’t have to be that way

Data has become easier than ever to collect and store. And just how much we have has been growing, too – up to 2.5 exabytes of data each day, according to cloud gateway company Nasuni. More and more sectors are finding themselves producing and collecting massive amounts of data. For example, the medical field has both identifiable patient data and deidentified research data; the transportation industry has reams of data that trains autonomous vehicle models; and insurance industries have the data that power their actuarial models.

All that data needs to be stored somewhere. Costs for storing big data can quickly spiral out of control. In fact, storage costs can easily become one of the larger line items pushing up your company's monthly expenses. The costs to the planet can't be underestimated, either. It's been estimated that 10% of any given data centre’s carbon footprint can be traced back to data storage-related functions. And that's no wonder: storing data requires power (often generated by fossil fuels), cooling, maintenance, and periodic hardware replacement (involving yet more fossil fuels up and down the supply chain, as well as mining of rare earth elements).

Big data storage is complicated by access issues, too. In many places across the world, internet service is spotty or under-resourced, and transferring large amounts of uncompressed data (to storage or out of storage) can choke the little bandwidth that is available. That’s not just the case with ethernet, but with mobile networks, too.

The good news is that compression is one of the most effective ways to get your big data in shape for both transfer and storage.

Many kinds of big data need to be preserved with 100% integrity. If that's the case for your data, it means a lossless compression method is the only way to go. CompressionX uses a new, patented model for compressing files losslessly, all while leading the market with remarkable compression ratios. No need to spend time weighing the trade-offs between lossless compression and compressed file size. Stick with lossless for guaranteed integrity in your compressed file.

And when it comes to transferring your files, including summoning them back up from cloud storage for use, storing them smaller means you win time in the process. Smaller files load faster than bigger ones, and when your original files were particularly big or the lineup of files you need to retrieve is really extensive, your time gain-back can quickly add up.

CompressionX is revolutionising the way data is stored and shared – including big data. Our patented model is powered by a smarter way to chunk data, which leads to a hyper efficient compression ratio. It’ll handle even the biggest datasets with ease. Try it for free today and enjoy market-leading speeds and lossless quality.

• https://towardsdatascience.com/on-the-importance-of-compressing-big-data-edd4cc7441d2
• https://journals.sagepub.com/doi/10.1177/14604582231213846
• https://www.sciencedirect.com/science/article/pii/S240584402202076X
• https://itwire.com/business-it-news/data/68799-data-deluge-%e2%80%93-25-exabyte%e2%80%99s-created-each-day