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1Dealing With the Half Life of Data Value
Businesses need to move fast. As soon as data enters an organization, its half life begins. Data is more valuable in real time and its value diminishes over time until it becomes obsolete and irrelevant. With in-memory IT, data can be processed and stored in real-time, giving insights that can be used immediately as opposed to 24 hours or more later.
2Increasing Data Volume Requires Operational Efficiency
3Empowering Non-Engineers
4Reducing Time to Insight
With in-memory, the need to go through time-consuming batch load processes is eliminated. By reducing the time it takes to get from raw data to business insight helps enterprises gain competitive advantages. The ability to keep a real-time dashboard also enables improvements for monitoring operational health.
5Building the Database for Today
6Using Commodity Hardware
From a pure hardware perspective, the more CPUs available, the faster the data can be. Today’s databases are built to support multi-core processors and by adopting commodity hardware with an in-memory database, IT can save money while enabling more memory and cores for faster performance to push the limits of existing infrastructures.
7Creating Actionable Data
Too many big data solutions and tools are too complex for today’s IT engineers to work with easily and require top-dollar data scientists, who are very much in demand worldwide. By adopting in-memory IT with a familiar SQL interface, engineers who don’t have a background in Hadoop or other specialty code bases—such as Pig or Hive—can be productive out of the gate. Managers don’t need to waste valuable engineering hours getting people up to speed, or alternatively, having to hire costly new talent. Additionally, engineers are empowered to focus time and energy on results instead of time-consuming data entry.
8Simplifying the Stack
9Adopting Durable IT to Last a Lifetime
10Maximizing Integration Out of the Box
In-memory IT can maximize existing IT investments with plug-and-play integration out of the box. This saves time and costly integration hours.