Big Wishes for Big Data

We live in a world where information is everything. IBM estimates that each day, 2.5 quintillion bytes of data are created or replicated, with 90% of the world's data having been created in just the last two years! According to IBM, that's the equivalent of a million hard drives filling up with data every hour. With high-performing analytics tools, the study of big data can lead to new understandings of consumer behavior, better management decisions, new innovations, and improved risk management. In fact, experts now want to take big data implementation a notch higher by using tools that make the process more convenient for organizations and its IT users. We have collated some of these big wishes by the experts for big data.

Data security tools

The first thing on big data’s wish list is advanced data security tools. Businesses are successfully using big data analytics to predict future market trends. The actions taken by businesses and other organizations as a result of big data analytics may breach the privacy of those whose data is involved. Consider that some retailers have used big data analysis to calculate intimate personal details such as the due dates of pregnant shoppers. In one such case, subsequent marketing activities resulted in having members of a household discover a family member was pregnant before she had told anyone, resulting in an uncomfortable and damaging family situation. There are also concerns about the safety and privacy of important data stored remotely. The possibility of private data getting accessed by other organizations makes many people uneasy.Sorted storage tools

The second thing on big data’s wish list is a practical sorting and organizing tool. Often, big data implementations result in lazy data collection. The solution to lazy data problems lies in using tools to classify and tag files. With big data systems’ ability to hold much more metadata than typical file systems, we need an easy way to load metadata with file disposition information. This information includes how long the data must be saved, who is allowed read it, where it can be copied and so on. SQL-like analysis tool The third thing on big data’s wish list is SQL-like analysis tools. The whole point of gathering and making use of big data is to come up with predictions and other advanced analytics that can trigger better-informed business decisions. Big data results in the creation of too many reports by different users with different points of view. Thus, it becomes difficult to query such data and extract any appropriate analysis. Hence an option for SQL or SQL-like analysis of data residing on big data clusters is required. Cloudera, EMC, Hortonworks, IBM, MapR, and Teradata are companies that support this decision.Simplified deployment and management tools

The fourth thing on big data's wish list is simplified management and deployment tools. Big data platforms, including Hadoop solutions and NoSQL databases, are working on developing such tools that will guarantee secure storage and access to unstructured data. The correct implementation of such tools will also help to monitor big data services and optimize an ever-growing storage capacity of handling the data. Big data has created a huge impact in the business and marketing fields. If these tools are implemented, big data will become even more powerful than it already is. It will surely change the dynamics and outlook of how we do business.