Over the course of the past few years, more companies have to be up to speed––in both action and in words––to deploy market-driven innovations to drive towards Cloud Computing and Data Lakes to get the best value from their data assets.
However, these technical additions have significantly increased the complexity of data architectures. This has limited an organisation’s capacity in delivering new capabilities, maintaining infrastructures, and ensuring the integrity of new models. So, how can you adopt new strategies to build a competitive edge over your competitors?
Groundbreaking shifts to data architecture
There are foundational shifts that companies are including in their data architecture blueprints to enforce a more rapid delivery of new capabilities and streamline existing architectural approaches. These shifts tackle nearly all data activities, including data acquisition, ETL processing, storage, analysis, and exposure.
So, what key changes do organisations need to consider? From local hardware storage to cloud-based data platformsThe shift to cloud-based platforms is arguably one of the most disruptive drivers of the new data architecture approach. Some major global cloud providers, including Google and Microsoft, have revolutionised how organisations of all sizes streamlined their data handling processes. Through these platforms, companies were able to rapidly scale data tools to gain a more in-depth analysis of their data assets.
From batch-by-batch to real-time processing of data
With a significant decrease in its costs, real-time messaging and streaming capabilities paved the way for mainstream use that enables a host of new business applications. Some real-time streaming functions like subscription mechanisms, even allow consumers to subscribe to specific topics and have a constant feed of the transactions they need.
From pre-integrated commercial solutions to modular, best-of-breed platforms
In order to scale applications, companies are pushing well beyond the boundaries of legacy data ecosystems from large solution vendors. Now, industries see a move towards a highly modular data architecture that uses best-of-breed and open-source components that replace new technologies as needed. This, in turn, enables them to deliver new and data-heavy digital services to their customers.
From point-to-point data access to a decoupled data access
Exposing data via application programming interfaces (APIs) ensures direct access to view and modify data and remains secure while offering faster, more up-to-date access to common data sets. This allows data to be easily reused among teams, thereby accelerating access and enabling seamless collaboration among members of the data analytics team.
Leaders in the field of data architecture have pivoted from a central enterprise data lake to a ‘domain-driven’ and a customisable design to improve time and market new data products and services.
These groundbreaking shifts require an even bigger focus on the accuracy and balance of your organisation’s data. Anysmall error can easily lead to fragmented and inefficient results – however,when done properly, it can reduce the time spent upfront on building better data models into your Data lake.
This changing data environment calls for equally sophisticated data solutions, and this is where ADEC Solutions UK can help. Through our data assurance solutions, powered by our in-house data experts, you can easily navigate these drastic shifts to how data is collected, processed, and viewed via Data Visualisation. In turn, you can reduce processing costs by over 40% and maximise the power of data in creating Data Lakes or Hubs that will help your organisation thrive in the post-Covid digital market.
Given these shifts to data architecture, how do you plan on making use of these platforms and solutions to your current framework? Let us help you by booking a consultation with our data experts at your earliest convenience. Simply click the link below to learn more: