Large data: Select appropriate storage options

According to foreign media reports, big data is in full swing, your thing is time to participate in the big Data "wave" in.

But where do we start? For those services and providers, each choice is not simple. While many of the options at first seem daunting, once you understand the company's target for big data, you will appreciate the changes that big data has brought to the business.

After deciding to implement large data, you will want to decide whether to store the data in the site or in the cloud. Objectively, the purpose of implementing large data and existing resources will be of great help in determining which storage options will better meet the company's goals. The realistic goal of implementing large data and existing resources will be a long time deciding which storage options will best meet your company's goals.

Each choice has its own advantages and disadvantages.

Personal input

How deeply do you and your team want to participate in data collection and stored procedures? Local storage usually means you hire an IT team to monitor and fix any problems that arise. It brings more control over the data, but it also allows you to take greater responsibility for any failures that occur.

With cloud storage, you can eliminate the need for IT teams, and you can eliminate the possibility of uncertain reasons not occurring at present, but also lose some customization capabilities.

Security

It can be said that this is the most powerful component of the preset system. You can 100% control the data and the right to use the data, so don't worry about middlemen or internet transmissions.

However, this is not to say that large data based on cloud storage is unsafe. After realizing that their success lies in a harmonious development with their customers, cloud companies are doing their best to ensure data security.

Mobility

Cloud storage is more advantageous in this respect. To build a local site, you have to set up a certain infrastructure in its place, which takes time, money, and people, and it's not something that can be moved easily if needed.

However, cloud storage is naturally mobile. It doesn't have to worry about hardware, cloud storage is internet-based, and location changes don't have any impact on your data services.

Cost

It's hard to predict. One thing is for sure, the upfront cost of local storage is much higher than that of cloud storage. As we mentioned, we must develop the infrastructure and hardware installation. And cloud storage does not need to do this. Somehow companies need infirmary fees to store, develop and monitor data security.

They are transferring these expenses to you in some way. In other words, if you build an infrastructure on your site, you end up getting more or less data than you expect in a tricky situation.

The more data you get, the more infrastructure and hardware you have to install. If you don't have enough data, you'll lose thousands of of dollars because of unused hardware. But if you use large data cloud storage, there is no such trouble. You can save as much as you want.

To make the best decisions, both it and the executive team need to be actively involved in the process. Both have to interact with the data, albeit in different ways. The executive team thinks it is smooth and seamless, not necessarily the IT team, and vice versa. So a middle ground should be reached to ensure success both technically and operationally.

There are a number of options available today, including:

• Google Computing engine

• Amazon Network Services

· Qubole Large Data Service

• Microsoft Cloud computing Platform

• Oracle's database

· Teradata Combination

· IBM's Infosphere biginsights (software platform for storing and analyzing large data)

• Statistical analysis System

When you do things with big data, the options are endless. By understanding your organization's goals and objectives, you can choose the best large data service provider for yourself and your own form.