Big data are large datasets, in the order of terabytes, exabytes and zettabytes. Working with this amount of data is challenging using existing databases and management tools when it comes to the analysis, volume, speed and diversity of the data. Bridging this gap allows analysts to make informed decisions, and as we enter the zettabyte age this becomes a necessity. Download Datasheet To Read More.
Hadoop is the best solution for handling big data and is constantly improving, but it hasn’t focused on security. The SHadoop layer will improve upon user role audit tracking and user level security. Download Datasheet To Read More.
Big Data is getting bigger. Gartner reports an average growth in data capacity of 40-60% each year. This is due in part to the exponential growth in the use of unstructured data [1] stored for regulatory compliance and analytics. Classic data storage and access models have proven to scale poorly in the face of this data explosion and the new cluster based computing technologies such as Hadoop are proving far more effective and getting a lot of attention. These tools are promising, but to sustain this growth both efficiently, economically, and robustly, we must apply the same standards to this emerging space as we would any other classic data aggregation and analytics industry. Download Deployment Guide To Read More.
Data warehousing allows for the long term structured storage of data for efficient analysis. As Big data explodes the magnitude of the data revolts in the face of security. The Zettaset solution builds security into every component of the system facilitating a Security Data Warehouse (SDW) based on the Hadoop technology that is reliable, scalable and flexible. SDW can be run as a standalone solution or seamlessly integrate within your current environment so that data can be analyzed, mined and potential threats identified. Download SDW To Read More.