![]() Often the distinguishing features are where and how these techniques are being deployed. In the end, when suppliers wave the Big Data banner, they usually are talking about how enterprises can examine large to extremely large amounts of data to ferret out previously hidden patterns, the ability to leverage a wide variety of data types, and make useful correlations based upon the new understanding enabling them to take fast action. Often this means that a supplier is trying to position their products and services in a new way rather than offering large advances in the underlying technology. If we focus on how the data is being used, we hear phrases such as “Predictive Analytics,” “Intelligent Risk Assessment,” and even “Big Data Analytics.” These catchphrases have been used quite heavily when Big Data techniques are deployed to improve system and application operations, network performance and data and application security.Īs the industry evolves, new catchphrases appear regularly. It may also be used to describe how the tool finds patterns and anomalies in the data to help the enterprise’s Data Scientists. Under the banner of “Machine Intelligence” the industry has begun to speak about “Artificial Intelligence,” “Deep Learning,” and “Machine Learning,” These terms may be used to describe how products work with the data before the enterprise can learn from the data. This allows them to claim that they originated the concept and that all other suppliers are following them. The hope that their phrase will come to dominate the others. ![]() Some Big Data Catchphrases Seen in the WildĪs suppliers build products and offer services designed to deal with Big Data as a whole or some segment of that larger field, they often come up with their own catchphrase. Their enterprises have invested heavily in Business Intelligence (BI) processes and applications and find themselves confused if what they have been doing will live happily under the new name “Big Data.” Much of the time, unfortunately, what they’re doing today really is different.Īlthough Big Data is a relatively new subject, it has already gathered quite a number of new catchphrases that address how the data is gathered, how it is analyzed and how it is used. Click to learn more about author Dan Kusnetzky.īig Data has been in the media constantly recently, but its definition and use still eludes some enterprise decision-makers. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |