Uncategorized

Why is the cloud a good idea for big data?

You can get the capacity and processing power you need anytime you need it, which is very important when you are dealing with big data.

When you talk about big data, you often think about the amount and variety of data that you could get from various sources. Eventually, you would have to think about where to put all of these data and still have the processing power to manipulate and analyze it. You would need to work with unstructured and structured data to get the most out of your big data investments. So you would really need a platform that you could use to deliver the performance and speed you need to deal with big data.

Most people are looking to the cloud for this. To be clear, big data is just too big to move, so what we are actually talking about is the analytical tools and software that you use for your analytics.

It would seem that going on the cloud makes sense for big data. Think about how the cloud can be provisioned in just minutes, the cost savings and how it allows you to be more agile in anything.

Why is the cloud a good idea?

  1. Lower costs. The cloud is a great way to cut on costs when you want to support big data technologies and analytics. Using the pay per use model of the cloud, you can still get the horsepower to run even the most advanced analytics on your data and process even the biggest data volumes at a fraction of the cost of buying a faster and better computer. This means that you only pay for the resources that you actually use rather than having to buy an expensive set up just for your big data initiatives and not use it all the time.
  1. Lower overhead. Not only will you be able to save on costs, you will also be able to automate and simplify your big data integration and components, freeing your IT staff to do other more important things. When you get on the cloud, you can relegate some of the IT and technical issues to the vendor, leaving your own IT staff free.
  1. Scalability and quicker time to market. If you need more capacity, you can scale up your cloud resources as easily as purchasing something online. Your cloud environments can also be scaled down when you do not need it. This means that you can get the capacity and processing power you need anytime you need it, which is very important when you are dealing with big data. Stale data provides less value to your business. Also it means that you do not have to pay for capacity and processing power that you do not use. A good example is seen in the life sciences industry wherein you only need big compute processing power for a short time. Cloud environments can easily be provisioned in a matter of minutes, ensuring that you do not lose your data’s value and be able to do what you need to do sooner than later.

Four Cornerstone can help you get on the cloud as well as help you deal with big data. Work with our team of IT experts and be sure that you are doing things right by calling us at 1 (817) 377 1144.

Photo by Lourdes Muñoz Santamaria.

Uncategorized

Performance Boost in MySQL 8.0.35…

Oracle has recently published interesting performance numbers that show MySQL 8.0.35 Enterprise Edition about 25%, or higher, faster than MySQL Community Edition.   A great...

Keep Reading

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

Live Chat | Emergency