What is a Cloud Data Platform?

What it means, why it matters, and how it works. This article provides definitions and practical advice to help you understand modern cloud data platforms.

What is a cloud data platform?

In today’s global, highly competitive environment, the value of data has skyrocketed as a way for organizations to get ahead. Data, more than anything else, determines whether or not an enterprise will be able to successfully manage its own complicated IT infrastructure as well as develop new technologies just when they are needed to better serve its customers. Managing this data and gaining visibility into it is now a top priority for many companies. Unfortunately, many businesses still rely on the old-fashioned storage methods with large facilities housing thousands of servers and hard drives all used to store their own data. Although this may have worked in the past, there are now much more effective ways to manage data. 

A cloud data platform is a tool that allows enterprises to move their data from traditional storage to the cloud. There are many benefits to utilizing a cloud data platform. These include rapid scaling and reducing IT hardware requirements. Instead of having massive facilities to manage all your data, everything you need is stored remotely, available to access whenever and wherever you want it.  Furthermore, as your needs for data and analytics change, a cloud data platform makes it easy and fast to change how much of the cloud you are utilizing. Cloud data platforms are also useful because they increase access to data. In the end, analytics are only as valuable as they are visible. Data stored in the cloud can be made visible and accessible to everyone in your organization without impacting your costs. These are just some of the benefits that a business can tap into by going with a cloud data platform. 

Examples are a great way to get a better understanding of something. Let’s look at one cloud data platform example, Acceldata. Acceldata is a complete enterprise cloud data solution that is made up of 3 separate components. The first is Pulse. Pulse can provide rapid testing of new technologies, reduce costs by offloading unnecessary software, and eliminate unplanned outages using our advanced detection system. The second element is Torch. Torch is a solution designed by Acceldata to use AI to automate data quality and reliability for all enterprise data systems, regardless of scale. Finally, there’s Flow. Flow is our data observability tool and can help your enterprise eliminate data downtime, optimize data engineering productivity, and align data pipelines with business objectives. These are the three main components that make up Acceldata’s Multidimensional Data Observability Cloud. Our solution helps you see data clearer by providing you access to it at any point and time in the data lifecycle. 

Types of cloud services

There many cloud services available to support your business. Most likely, if you are reading this, your organization is already taking advantage of the opportunities and benefits that come from utilizing some form of cloud services. This could be a cloud-based email server, web host, or any one of several other cloud services. Basically, any software that is accessed through the internet can be considered a cloud service because it is not stored on a local hard drive.

Cloud data services are specifically designed to provide a way to use the cloud as a way to store your data instead of using some form of local storage. However, you don’t just want to put all that data in some basic repository. You need to be able to analyze it in real-time, synthesize it, and get actionable insights from it. That’s where a cloud data platform comes in.

With a cloud data platform, you can deliver intelligence from data across your enterprise and truly build your strategies and operations around those insights. If you are interested in learning more about cloud data platforms, you could go out and read a cloud data platform book (multiple have been published in recent years). Books can be a great way to dive deeper into a subject like this.

Cloud data platform architecture

A cloud data platform architecture needs to be able to support a significant number of data forms. An architecture is the sum total of the standards, models, and rules that define how data is managed within an organization. One example of a cloud data architecture is a customer data platform architecture. This would represent the collection of all rules and policies around how customer data is stored and managed as it enters the organization.

There are many other architectures depending on the source and category of the data. Today, there are many data architectures that include a complex combination of local storage and cloud services. When an issue comes up, it can be very difficult to identify exactly where the issue is and how to address it. That’s why multidimensional data observability is so helpful.

Acceldata helps you locate and isolate the root cause of issues so that you can fix problems fast. Several of Acceldata’s customers have achieved success in eliminating unplanned outages using our solution. This is the power of truly comprehensive visibility into data, and it is what you’ll get when you use Acceldata as your cloud data platform.

Cloud data platform market

The cloud computing market share has continued to grow in recent years and looks to have a great future. This is largely due to the fact that technology continues to advance, making cloud storage more affordable and more secure. The scalability of cloud technologies is what has drawn many organizations to them.  The cloud computing market size is massive, totaling hundreds of billions of dollars. Some predictions even show the global cloud computing market size growing to over 1 trillion by 2030. All that shows that the cloud data platform market is very strong. In a market of this size, it makes sense to take a closer look at what is causing all the buzz. Cloud computing and cloud data platforms have been clearly shown to be effective at increasing a company’s performance capabilities. If you look at the cloud computing market share by company, you’ll see some of the biggest cloud providers at the top of the list. These include some well-known companies that you are most likely already familiar with. If you look at cloud computing market size by country, you’ll see that the U.S. is the highest spender in cloud computing, with China, The UK, and Germany following in that order. The customer data platform market is also on the rise as more and more enterprises realize the importance of managing and storing customer data in a way that actually produces actionable insights. That’s why the customer data platform market size is growing so fast. The global customer data platform market is also experiencing strong growth. 

So many companies are turning to cloud data platforms because they can help make sure that your decisions are all data-driven. Insights gained from platforms like Acceldata can help you prevent losses due to outages and improve your software development and release processes.

Data platform design

It’s very important that your data platform design is well-thought-out and serves your company’s specific needs. There are six main layers that make up the usual data platform architecture. These layers are Data Ingestion, Data Storage & Processing, Data Transformation & Modeling, Business Intelligence & Analytics, Data Observability, and Data Discovery. These are the most common layers of data platform you’ll see when looking at how to build a cloud data platform. Companies often spend years building their programs. When designing cloud data platforms, Github is a software that you can use to create a repository to share code and documentation information with all members of the development team. GitHub is frequently used for this purpose and is also a cloud-based platform.

Finding the right data cloud

Not every data cloud is created equal. When comparing various platforms, it’s important to find the solution that suits your needs. For instance, Acceldata’s data cloud platform is designed to specifically support data engineering. The observability our solution provides can help data engineers build and maintain high-performance, bulletproof data pipelines. On the other hand, you may be looking for a financial data platform or a customer data platform. All of these systems are designed to organize and store data as well as draw insights from the data so that you can make more informed decisions at your enterprise. Compliance is an important issue in data. If your goals are to focus on financial data or healthcare data, there will be specific regulations that your platform will need to comply with.

Designing cloud data platforms

As we have discussed, companies often have a specific purpose in mind when they are designing cloud data platforms. Ensuring that their designs are secure is very important to them. That’s why they hire professionals who have received a data platform certification. These certifications are given out by many of the major cloud service providers and help developers to better learn how cloud technologies work. The modern cloud data platform is one that supports businesses by making data storage more scalable, visible, and effective. Experience the difference of unprecedented observability provided by Acceldata.

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