more ... Big Data
Data is everywhere and it is exploding. Multi-terabyte databases such as Oracle and Microsoft SQL Server, and large virtualized/consolidated installations are examples of big data environments.
While the business intelligence derived from the data is invaluable to the enterprise, it comes with its own set of challenges. As dataset sizes grow, maintaining the performance needed to take advantage of them becomes more difficult. Big data challenges typically include:
- High Access Rates – high bandwidth and/or IOPS
- Concurrency – multiple users and applications concurrently accessing the same data.
- Changing use model – increasing variety of usage models and workloads (e.g., ad hoc queries)
- Volatility – high data ingest rates (e.g., from near-real-time ETL cycles)
In big data environments, IT organizations are increasingly challenged to maintain service levels while working under tight budget constraints.
- Need to provision expensive tier 0 or tier 1 storage to keep up with data growth
- Disruptive storage upgrades
- Constant tuning and re-layout of data to maintain performance
Today’s reality is that most enterprises have neither the budget nor the staff to keep pace with these big data challenges. The tradeoff is to live with poor performance of business applications, missed service level agreements and user complaints.
GridIron Systems has an easy solution to taming big data. The GridIron TurboCharger Data Accelerator appliance can be seamlessly integrated into an existing environment to boost the performance of big data applications up to 10 times.
The GridIron solution is:
1. Easy to deploy – installs in an hour
2. Non-disruptive – no application downtime required to deploy
3. Transparent – no changes to existing applications, servers, storage, or operational procedures
4. Shareable – can be shared across multiple applications
5. Cost-effective – least acquisition and operational costs
6. Intelligent – hardware and software based analytics adapt in real-time to workload changes
7. Scalable –scales without downtime as big data gets bigger
8. Secure – gold copy of your valuable data stays on your existing storage