Big data refers to a massive volume of data sets that can not be processed by typical software or conventional computing techniques. Along with high volume, the term also indicates the diversity in tools, techniques, and frameworks that make it challenging to tackle and process the data. When stored and processed properly, this massive data can offer deep insights to the businesses. There are a number of ways in which big data can help businesses grow at an accelerated rate.

How Can Businesses Benefit From Big Data?

The businesses can store and process high amounts of data from diverse internal and external sources. Like company databases, social networks, and search engines to get excellent business ideas. It can also allow them to forecast the events that can have a direct impact on business operations and performance. On the marketing front, it can help you increase the conversion rate by offering only relevant schemes, launches, and promo offers to the customers based on their buying behavior. The progressive companies are using big data for new product development, understanding the market conditions, and utilizing the present and upcoming trends for direct business benefits.

The Role of Server in Big Data

For enjoying the optimum business benefits out of big data it’s important to choose the ideal hardware that can proactively assist in big data operations without significantly inflating the costs or complications. There are some challenges to address like determining the processing requirements, high volume data storage at superfast speed, and supporting simultaneous computations of massive levels without compromising with the output. An important part of this strategy is to choose the right type of server.

The standard servers generally lack the resource volume and technical configuration required for various big data operations. So you would need the premium, purpose-built servers that are specially tailored to accommodate the massive data volume. As well as support the computational, analytical, and processing tasks. However, the final decision should be based on your specific requirements as no two customers are the same. You can find additional information on big data hosting in this previous article.

In this blog we are going to present some of the ideal factors to keep in mind while deciding on the ideal server for ensuring optimum big data benefits:

The role of server in big data - 6 things to keep in mind when choosing ideal server for big data requirements - Plesk

1. Choose Servers with High-Capacity

The ideal properties of a big data server are massive storage, ultra-fast recovery, and high-end analytical capability. So, you need the servers that have the right configuration and capacities to meet all these requirements without any compromise.

  • Volume. As the name suggests, the big data feeds on loads of data that can go up to petabytes. For the uninformed, a single Petabyte is equal to 1,000,000 GB. So, make sure that your server can not only handle this massive amount of data but can also continue working consistently while handling it.
  • Real-Time Analysis. The USP of big data is organizing and structuring a huge volume of diverse and unstructured data and seamlessly adding the latter to the available structured data. So, you would need the servers with very high processing capacities to handle this requirement efficiently without fail.
  • Retrieval capabilities. Big data has big objectives too. For instance, real-time stock trading analysis where even a fraction of seconds matters a lot and can introduce multiple changes. For that, your server should fully support multiple users who are concurrently adding multiple inputs every second.

2. Sufficient Memory

RAM is one of the prime requirements for big data analytics tools and applications. Using RAM instead of storage will significantly accelerate the processing speed and help you to gain more output in relatively less time. It translates to better productivity and quicker time-to-market – the two factors that offer you a competitive edge in the industry. Due to varying requirements in terms of volumes and operations, it is not possible to advise on a typical RAM volume. However, to be on the safer side it is good to go with at least 64GB RAM. The readers are advised to discuss their requirements with the providers to know about the ideal memory requirements for their purpose.

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6 Things to Keep in Mind When Choosing an Ideal Server for Big Data Requirements
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