In the world of large corporate operations, enterprises continuously exchange information between their data centers, branch and regional offices, and central headquarters. Manufacturing test data, medical imaging, archival data, and analytics datasets are some of the data types accessed by several departments and locations simultaneously. Organizations need to upload trial results right at testing locales, transport them to processing rapidly, and review analytics without delay.
BRYCK® facilitates the fast transport of data to enable critical workers at all locations to get the insights they need. This solution provides the basis for backup and disaster recovery without the delays caused by slow transfers over a dedicated connection.
The Heavy Burden of Content Exchanges
The Heavy Burden of Content Exchanges
Content exchanges carry a heavy data burden for the organizations they serve. With the growing volumes of data expected to occur in the next few years, organizations worldwide need to upgrade their content exchange capabilities. Industries that generate and exchange large quantities of data include:
Healthcare: Around 30% of the world’s entire data volume is generated by healthcare1https://www.rbccm.com/en/gib/healthcare/episode/the_healthcare_data_explosion and by 2025, the compound annual growth rate of healthcare data will likely reach 36%.
Finance: As of 2020, the U.S. banking sector held one exabyte of stored data, equal to 275 billion mp3s2https://innovecs.com/blog/big-data-in-banking-and-financial-systems/ across 76,000 branch offices3Pitch deck P47. If 10% of banking offices generate 100 terabytes per week, this sector alone will produce 5,200 terabytes per year.
IoT: The Internet of Things (IoT) is slated to include 27.1 billion connected devices by 20254https://iot-analytics.com/wp/wp-content/uploads/2021/09/Global-IoT-market-forecast-in-billion-connected-iot-devices-min.png. Generating valuable data for manufacturers to use in product development and improvement.
Complex, Costly Data Migration
Complex, Costly Data Migration
Data captured in enterprise corporations consists of large, complex datasets that may be structured or unstructured. The use of these methods incurs high costs, including infrastructure and maintenance, premises, staffing, hardware, and software.
Companies using current practices risk processing, queueing, transmission, packet-switching, and propagation delays. These delays result in slow migration, late access to essential insights, and the potential exposure of data to security risks.
Existing transfer and storage options include:
Migrating the data over a high-cost WAN at the rate of 10 terabytes per day for each 1 Gbps connection.
Using a dedicated business network requiring a 25 Gbps connection to move 200 terabytes per day.
Uploading the data to a disk drive, which requires mounting in a full-sized truck and transporting a maximum of 10 petabytes per trip5https://www.morningbrew.com/emerging-tech/stories/2021/10/14/inside-the-curious-world-of-physical-data-transfers by road to its destination.
Transfer on arrival to a data storage facility for processing.
As big data continues to grow exponentially, its usage becomes increasingly more vital to operating efficiencies and profit margins.
As big data continues to grow exponentially, its usage becomes increasingly more vital to operating efficiencies and profit margins.
Benefits of BRYCK®
Benefits of BRYCK®
BRYCK® is a groundbreaking, innovative data management solution developed explicitly to tackle the challenges of capturing, transferring, and storing growing quantities of data in multiple industries. By deploying a single 128-TB BRYCK® in each branch in the banking sector alone, the solution can provide up to a 90% reduction in costs after one year6Pitch deck P46.
As big data continues to grow exponentially, and its usage becomes increasingly more vital to operating efficiencies and profit margins, BRYCK® will continue to move the data that moves the world.
BRYCK® enables enterprise companies to:
Capture information at the edge in healthcare, manufacturing, and other environments
Transport the data securely, cost-effectively over standard shipping practices to a processing facility or branch office
Make analytics datasets and test results accessible to key operators within a few hours, using multithreaded, parallel processing methods
Reduce the cost of overheads, connectivity, security breaches, and ransomware
Eradicate the risk of slow transfers and lag times caused by bandwidth constraints and system malfunctions