Published On: Fri, Oct 30th, 2015


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The Oracle Exalytics was the first ever in-memory business intelligence (BI) platform to deliver fast speed and performance in one package. The benefits are numerous but the obvious include lowering the total cost of ownership (TCO), ease of use and intuitive, scalability for any size organization. What makes this solution unique is that is can deliver the solution today based on in-memory analytics while running both BI and various applications and is capable of being implemented onto any network or architecture’s infrastructure.

The 1TB DRAM, 40-processing cores result in high speed networked performance unmatched by any solution on the market today. It was design right from the ground up using the Linux operating system – open system architecture with deep resources. The software is optimized using adaptive in-memory caching, in-memory columnar compression, and storage block access, and free form data exploration and high density visualizations. Information and details regarding Oracle Exalytics are available at

Internet of Things (IoT) – a recent Gartner report states that by 2020 all products will be considered smart or intelligent thus creating a $7.1 trillion market. The main idea behind IoT is that almost everything in our life can have sensors and microprocessors which perform mundane tasks thereby making our lives more enjoyable. Some of these smart and connected devices might manage our homes, cars, buildings, network enterprises, medical patients, farms, and factories. Deploying sensors will require that they are modular, connected, and reliable and an infrastructure needs to be in place to make all of this happen.

Already we are starting to see more IoT efforts being made daily – wearable, intelligent thermostats, sensors for our pets, always connected smart phones, online social status and apps, robots, unmanned vehicles, and more.

Software as a Service (SaaS) – there is real cost savings to be had when hosting SaaS on an in-memory platform and the Exalytics is no different. Instead of deploying on-premise software, SaaS software delivery allows data to be accessed from any device via a web browser over the Internet. This model means that the SaaS solution is hardware agnostic and easily supported to many more users than conventional means and buyers can outsource most if not all of their IT responsibilities too.

Unlike purchasing on-premise software, SaaS will typically include costs associated with licenses, maintenance, and support fees that could amount to almost 20 percent annually but, because of the SaaS cost model, may be spread out over time and reduced at least monthly or quarterly.

According to Oracle, their Transactional Business Intelligence Enterprise solution support the cloud-based data warehouse coupled with prebuilt analytics applications too – this will support both on-premise and SaaS applications.

Virtualization – there are industry forecast which state that by next year, there will be 80 percent or greater workloads virtualized but small and midsize businesses are lagging behind this trend. It further states that it is more costly if an organization does not virtualize because of the risk associated with high costs, increased IT complexity, getting beat by the competition, and general business disruption. Virtualization can save up to 50 percent according to a Gartner report when they compared business with physical resources to those with virtualization.

The benefit of virtualization, whether it be server virtualization or storage virtualization, means that an increase in IT agility, flexibility, scalability and cost savings can be achieved because the workloads will be faster, operations are automated, availability and performance are both increased and, overall, the managing IT is made easier.

Business Analytics – BI is technology driven for the purpose of analyzing data and reporting actionable intelligence for corporate leadership, managers, and others who must stay informed. To make sound decisions and take action requires that the data be collected and analyzed in real-time and be as thorough as possible regarding details. Typically, organizations will collect data from internal systems and external sources, analyze the data, run scripts and queries, then create reports and dashboards. The latter will require data visualization with analytical results so that enough information is gathered and presented and decision making process can be successful.

Oracle has recently released Visual Analytics in the cloud which means that having access rich, powerful self-service visual analytics and be very easy to use and accessible for everyone within the organization. The Exalytics In-Memory Machine is very suitable for this type of solution – advanced, deep memory hardware and fast access times coupled with performance makes this a business “no brainer.”

Having access to analytical information means fast responsive access times because it is “in-memory” and not relying on “spinning” technology which results in greater reliability, operational availability, and data integrity and assurance. Having a few servers with Exalytics means not having to deal with multiple servers and consolidating them. This ultimately transfers into greatly reduced installation and setup times.

Taxing Applications – hardware today is usually not given much thought as it had once did some years ago. Instead, memory devices and chips have had costs reduced as well as having performance increased exponentially. What this has helped to accomplish is that is can now serve big data in support of so many applications and requirements. Having deep memory also means have the resources to contain billions of records all with access times only a fraction of what they used to be and definitely much less than with spinning technology.

Some taxing applications where the hardware as well as the intelligent software loaded into RAM is beneficial is in the healthcare field and specifically, with Electronic Health Records (EHR) solutions. Additionally, the core architecture means having the ability to process and contain billions of tax records or records of any type. With greatly reduced read and write times and because there are no electro-magnetic components but solid state instead, reliability and performance improvements are attainable. Since maintenance is reduced and system assurance increased, this will mean that large cost savings and energy management savings are achievable as well as sustainability of the network and systems.

About the Author

- I am an internet marketing expert with an experience of 8 years.My hobbies are SEO,Content services and reading ebooks.I am founder of SRJ News andTech Preview.

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