Doing More with Data
Organizations in all industries are looking to gain more business value out of the vast amount of data that is available. Database architects and developers who can tap into that data are in high demand.
Infrastructure Matters
Developers are working with many different types of data and tools. Those tools include NoSQL databases like Redis, Neo4J, and Cassandra alongside traditional SQL databases and new data frameworks like Hadoop and Spark. While these applications run on commodity hardware, they can be taken to the next level with purpose-built hardware.
Systems designed for the new demands on data can take your data application performance to the next level. They combine faster processors, accelerated RAM, and advanced I/O systems. These systems can provide benefits that could be essential to your data projects, you just might not have known they were available.
IBM PowerSystems Running Linux
IBM designed their new Linux on Power Systems from the ground up for data-intensive workloads. Power Systems are developed to be data engines. In fact, we offer two preconfigured solutions: IBM Data Engine for NoSQL and IBM Data Engine for Hadoop and Spark.
IBM Linux on Power Systems eliminates some of the most troublesome bottlenecks and roadblocks for developers. In-memory databases such as Redis can run in flash due to an advanced I/O architecture. This allows up to 56TB to appear and function as if it were RAM.