Author(s): Bernd Wessely
TL;DR: It’s better to avoid building a data platform in 2024 because most articles about it are misleading. They often overstate the benefits and downplay the challenges involved. Instead, focus on understanding your specific data needs and find existing solutions that can meet them. It will save time, money, and headaches in the long run.
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Introduction
In recent years, the term “data platform” has become increasingly popular in the tech industry. Many companies and organizations are eager to build their own data platforms, believing it to be the key to success in the ever-evolving world of data. However, before jumping on the bandwagon, it is important to carefully consider the potential drawbacks and limitations of building a data platform. In this blog post, we will discuss why articles about building a data platform are often misleading and why it may be wise to avoid building one in 2024.
Misleading Articles
A quick search on the internet will reveal countless articles about building a data platform. These articles often paint a rosy picture of the benefits and potential of building a data platform. However, upon closer examination, many of these articles are misleading and fail to address the complexities and challenges involved in building a data platform. They often oversimplify the process and fail to mention the significant investment of time, resources, and expertise required.
The Complexity of Building a Data Platform
Building a data platform is a complex and multifaceted endeavor that involves various components such as data storage, data processing, and data analytics. Each of these components requires specialized skills and knowledge, making it a daunting task for most organizations. Furthermore, the process of building a data platform is not a one-time event but an ongoing process that requires constant maintenance, updates, and improvements. This adds to the complexity and cost of maintaining a data platform.
The Limitations of a Data Platform
While a data platform may seem like the ultimate solution for all data-related needs, it has its limitations. A data platform is only as good as the data it contains. If the data is inaccurate, incomplete, or outdated, the platform will not be able to provide accurate insights. Additionally, a data platform may not be suitable for all types of data. For example, unstructured data may not be easily integrated into a data platform, limiting its capabilities and usefulness.
The Cost of Building and Maintaining a Data Platform
As mentioned earlier, building and maintaining a data platform is a significant investment. It requires a team of experts, expensive software and hardware, and ongoing maintenance costs. For smaller organizations with limited resources, building a data platform may not be a feasible option. Even for larger organizations, the cost may outweigh the benefits, especially if they already have existing systems in place that can handle their data needs.
Why Avoid Building a Data Platform in 2024?
In conclusion, it is advised to avoid investing in building a data platform in 2024. Many articles that claim to offer insights into building a data platform may actually be misleading and not provide accurate information. It is important to carefully research and evaluate the credibility of sources before making any decisions about building a data platform. Consider seeking expert advice and staying up-to-date with the latest trends and technologies in the field before embarking on such a project.
Crafted using generative AI from insights found on Towards Data Science.
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