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What is effective data management? In the modern approach, it is primarily to break down data silos using one consolidated platform, instead of rationalising old data and implementing new solutions throughout the enterprise.
The digital world is constantly evolving. Data is growing rapidly, both in size and complexity. Regardless of whether they have a structured or unstructured format, they are extracted, loaded and transformed inside and outside the organisation. What’s more, they are used in cloud systems and applications as well as in local and hybrid infrastructure. Almost all platforms containing data elements manipulate them in every possible area. From situations directly related to the customer, through products, sales and technology. So they create an ecosystem of connected data. Its smooth operation is responsible for data consistency and correct communication.
The perception of data has changed recently. They are no longer associated with limiting openness and transparency of activities. Companies began to believe in the release of data instead of the obvious business benefits. The elimination of data silos and the possibility of unlimited communication between different systems ensure agility and modern design, while reducing operating costs. Companies invest in the use of data-based analysis, thanks to which they introduce diversity and provide their clients with positive experiences.
Unfortunately, implementation, integration, monitoring, patching, updating and even licensing of data management and analysis platforms is expensive. In addition, the ability to improve skills and secure infrastructure that is required for comprehensive data management tools to operate can be a potential obstacle.
Today’s companies can successfully use open source technologies and unlock the true value of available data. Open source solutions have overcome almost all challenges, guaranteeing innovation, increasing efficiency, reducing development costs and operating costs, as well as minimising supplier dependence. Whether it’s an operating system, middleware, application and platform, or an IT infrastructure, open source solutions allow you to solve problems in many different ways.
It is worth emphasising that open source software does not limit IT specialists and data engineers in comprehensive data transformation and implementation. Thanks to this, everyone has flexibility and freedom, as well as solid information security, thanks to quick reaction to emerging problems. Open source solutions are also more cost-effective alternatives than proprietary solutions. They allow organizations to start operating on a small scale, and then develop it without incurring huge costs. Using open source tools is usually fruitful for data management, acting as a catalyst for innovation.
Implementing open source software has become a multi-industry trend. Many different IT projects have used it, including Hadoop, Apache Spark and MongoDB. And this is just a drop in the ocean of Big Data initiatives supported by open source tools. Similarly, in the case of creating websites – including AngularJS, Node.js, Eclipse Che and React and with services available in the cloud (OpenStack and Docker). In turn, in the management of data precursors are Talend and Pimcore.
According to forecasts, open source solutions will continue to meet the needs of enterprises as they evolve. For this reason, you should carefully consider before choosing a tool. Whether you choose open source or not depends also on the short and long term vision of your organisation.
So let’s consider:
– The possibility of creating a consolidated data platform that will enable all business units to cooperate and centralise.
– The ability to create an open architecture based on the API that integrates any application anywhere, for any type of data and on any scale.
– Possibility of flexibility and quick adaptation of new technologies, e.g. conversation trading, artificial intelligence, the Internet of Things and blockchain. The chosen solution should support the emerging cloud infrastructure to meet the growing data needs.
– The opportunity to reduce the costs of technology barriers for intelligent data management.
– It is possible to set up one user interface that will ensure easy operation and order control.
If you care about using an open source platform, there are many reasons to do so. Thanks to this solution you will introduce a lot of innovations to your business. You can easily use existing and emerging forms made available through open access. You will be able to modify them at your own discretion. Such solutions, therefore, promote creativity and freedom, by lifting onerous restrictions. They are perfect for running small and large businesses. So you can certainly conclude that open source solutions will continue to grow in popularity. Don’t be afraid to take the first step!
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