With classic business intelligence solutions, access to systems is usually reserved for a small circle of users. According to information from Gartner, BI solutions in companies are used by less than a third of the people who could benefit from them. With the possibilities of using Big Data, the situation will change quickly, according to experts. Because, like Google for the Internet, new tools and technologies for handling Big Data not only bring more speed, but also greatly simplify the operation.
And through integration with modern identity management solutions, access to individual content can be controlled and limited on the basis of roles and rules, in such a way that legal and company-specific regulations are respected and users are protected from an excess of information.
How should data be prepared?
Seeing means understanding – this principle is increasingly gaining ground in companies’ analysis systems. For years, business intelligence software providers have presented a variety of attractive and meaningful ways to visualize data.
Dashboards with “tachometers” for process execution and traffic light systems for controlling organizational units are some of the highlights of relevant product demonstrations. In practice, however, most users still associate Business Intelligence with more or less long lists and tables.
When it comes to Big Data, trying to present as much information as possible at once is out of the question from the beginning. Here, the basic principle from the beginning is: reduction, condensation, simplification. Visualization plays a role here that has never been seen before. This is also because powerful graphics cards are now standard equipment in both fixed and mobile terminals, so that changes can also be displayed in real time. Thus, for example, self-regulating processes in production and logistics can be designed, monitored and controlled with the help of a combination of conventional business intelligence and large data solutions.
What technical infrastructure is required?
The basis for processing large amounts of data in the sense of Big Data is provided by modern 64-bit processors such as the Intel Xeon. They can handle up to 16 exabytes of data. This makes the main memory the primary data storage (“RAM is the new disk”). In-memory databases make use of these new capabilities and allow users of Intel’s massively parallel memory architectures and solid-state drives to analyze data in real time.
In this way, they provide the basis for making decisions based on the most up-to-date information, for example in the field of finance, but also in online marketing and industrial production.
Speed alone is not enough
But in the end, even with Big Data, speed isn’t everything. Just as important are safety, ease of use and openness of the system for the integration of new data sources, analysis tools and functions. Security procedures such as Intel AES-NI are therefore just as important for the successful implementation of large data projects as the management solutions of the Intel Intelligent Node Manager or Intel Data Center Manager and an ecosystem of coordinated hardware and software components from chip level to user interface.
How to improve Big Data Security and challenges
With the continuous digitalization of business processes, the issue of data security is causing companies more and more headaches. To ensure that business-critical information is protected in accordance with legal requirements, they depend more than ever on technical solutions that facilitate the security and archiving of information.
Data security, archiving and protection issues remain a high priority among businesses. This is confirmed in a study conducted by the National Information Security and Internet Initiative, entitled “Information Security and Data Protection”. However, in times of increasing IT mobility, cloud use and growing security risks, as well as upcoming legal changes, creating the necessary technical prerequisites is a major challenge for them.
Small and medium-sized businesses in particular are quickly becoming overwhelmed by this challenge. However, large companies also need solutions that enable them to optimize their backup and archiving processes. Especially when IT specialists are in short supply in their branches. Consequently, solutions that are quick, easy to install and ready to use are very popular.
We recommend these solutions for any kind of company:
Data security for medium-sized companies.
For small and medium-sized businesses, the turnkey ETERNUS CS800 S6 data protection device from Fujitsu Storage is the ideal solution.
The solution combines fast backup and restore of disk storage with modern deduplication technology. As a result, companies can save hard disk capacity, create replication scenarios or reduce costs through the intelligent use of tape drives.
Consolidation of the backup and archive infrastructure
Data protection and archiving infrastructures for open systems and mainframes can be consolidated with the Fujitsu Storage ETERNUS CS8000 unified data protection appliance. The backup and archive platform can be connected to both storage and Ethernet networks and can be used in combination with virtual tape libraries, NAS and WORM systems. This means that companies no longer need to operate several devices for data backup and archiving, but only one device.
The functional scope includes the ability to uniformly manage hard disks, deduplicated hard disks and tapes. This ensures flexible service levels in terms of capacity, speed and cost. Other features include synchronous mirroring and asynchronous data replication and support for cloud gateway functionality. This makes it easier for enterprises to build comprehensive disaster recovery architectures.
The appliance’s modular network architecture provides the flexibility to scale performance and capacity and allocate storage resources for data protection according to business professionals.
The ETERNUS CS200c S2 appliance is a complete solution that offers all the necessary functions for backup and archiving and is suited to the creation of large-scale data protection environments. Customers can choose from a wide range of cost- and performance-optimized models with flexible licence models to suit their specific needs.
The maximum capacity of the all-in-one appliance shipped with Commvault’s Simpana software is 126 terabytes. Project managers benefit from enhanced automated processes. Cloud backup has also been considered, supporting more than twenty cloud storage platforms.
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