Uncategorized

The Storage System for Big Data

Object-based storage typically handles billions and billions of files and can be scaled to accommodate very high volumes of data.

Ah big data. Chances are, your organization is trying its best to harness big data for your own purposes. Whether it is to learn more about your operations, your customers or process, or to try to find out more about what products are more likely to succeed, or to get insights, big data is simply a must for every organization to remain competitive today.

And while a lot of people are scrambling to find solutions and platforms that allow them to gather and analyze big data, they would also need to store all that data somewhere.

What should you be looking for in big data storage?

At the very core of your storage decisions as far as big data is concerned is that you should be looking for solutions that:

  1. Can handle and store huge amounts of data.
  2. Can scale as the need arises, meaning that you can grow your storage as your data also grows.
  3. Has a high input and output operations per second that would be needed if you are going to analyze all that data.

In short, it should be able to handle the big volumes of data and allow you to work with it quickly.

No idea where to start?

Google, Facebook, Apple and other companies that are currently handling tremendous amounts of data make use of hyperscale computing environments. Hyperscale computing environments make use of commodity servers that have direct attached storage or DAS. Everything is redundant so that if one unit fails, you can failover to your backup or mirror. Hyperscale computing environments often run on NoSQL, Cassandra or Hadoop and makes use of PCIe flash storage in addition to the disks to make sure that access to the data remains fast and involves less latency.

You can also use clustered or scale-out NAS. This type of storage can be scaled as you need more space and makes use of parallel file systems. Data is distributed across many nodes and, as such, a NAS storage can handle and transmit millions of files without slowing down your entire system, even as your data grown.

Another storage system for big data is object-based storage. Similar to cluster NAS, object-based storage also lets you store large amounts of data, scale out as needed and make way for fast processing of data. With an object-based storage, your files are given a unique identifier. The system then indexes these identifiers together with the data and the location. It works like a domain name system for the Internet, only that you are working with data in your own system.

Object-based storage typically handles billions and billions of files and can be scaled to accommodate very high volumes of data.

Which type of storage do you need for your business? And how do you go about purchasing and deploying the storage that you have chosen for your big data operations? Call Four Cornerstone today at 1 (817) 377 1144 and find out what you need to do to store all the data you can capture and will need. Our team of IT experts will be able to help you decide on an appropriate solution while providing low latency for your analytics.

Photo by Juhan Sonin.

Uncategorized

Security Trends For 2024: SBOMs

A recent article on Forbes, linked below, lists five security trends that are likely to be important in 2024. Of course, AI-related security topics top...

Keep Reading

Uncategorized

Getting started with your first…

Anyone looking at writing their first Generative AI application should read this to save time. In June 2023, Google Cloud published a useful blog post,...

Keep Reading

Uncategorized

Read-Write and Read-Only query splitting…

Optimize the usage of the standby (secondary) read-only MySQL InnoDB Cluster servers by automatically and transparently distributing read-queries to them. A great feature in MySQL...

Keep Reading

Uncategorized

Considering Cloud Diversification?

Moving an enterprise to a Public Cloud can quickly feel like moving into a locked-in relationship with the Cloud vendor. One solution to diminish this...

Keep Reading

Uncategorized

Gartner: Global cloud consumption will…

Gartner forecasts that 2024 will see a 20% global cloud consumption increase from 2023 to $679B, while 2023 has seen an 18% increase from 2022...

Keep Reading

Uncategorized

ByteDance: Use AI for tuning…

ZDNet is reporting that a ByteDance (the maker of TikTok) Linux kernel developer has proposed to implement AI to tune the performance of Linux systems...

Keep Reading

AI Governance

What is AI TRiSM?

If reading now about AI TRiSM for the first time, it might be good read on and learn what it’s about because it leads the...

Keep Reading

Cloud Blog

4 Ways To Benefit from…

One of the benefits you get when you work with cloud applications is that you often have quarterly updates that are packed with features. This...

Keep Reading

Artificial Intelligence

Data and Analytics: Cross the…

  Artificial intelligence is a manna sent from digital heaven. That’s how blessed your business can get if you immerse into the AI of things....

Keep Reading

Business Intelligence Blog

How Brand Names Survive in…

  The age of digital marketplace has made it possible for unknown and smaller companies to compete with better-known and well-established brands. Take for example...

Keep Reading

Live Chat | Emergency