Top trends in data engineering with predictions from Ardent experts

The global big data market is expected to be worth around USD 103 by 2027 as predicted by Statista. Data is the lifeblood and an incredibly useful resource for every organisation, to understand their own business and processes. Good quality data provides powerful insights for organisations to make well-informed, data-driven decisions to grow. Data engineering industry growth will be driven by multiple industries including healthcare, manufacturing, technology, market research and more.

In this article, we will explore the top trends in data engineering right now and how organisations work with big data and take advantage of them to remain competitive.  

Real-time data access

Organisations across industries are investing in real-time analytics to have quicker access to their data for a wide variety of business reasons. Real-time data is data that is captured and presented instantaneously, it offers organisations multiple benefits from being able to react to trends and competitor moves, making well-informed decisions based on data and remaining agile in the rapidly changing business environment.

At Ardent, we have worked with many clients to provide near real-time data access to ensure our clients can access their data as and when it comes through. This is particularly useful for clients collecting social media data or TV broadcasting data.

Shift to hybrid and multi-cloud environment

Hybrid and multi-cloud environment offers several benefits as compared to the on-premise infrastructure that many organisations still have. Both hybrid and multi-cloud offer improved security, and better accessibility and can be a cost-effective solution. The benefits are significant, especially for organisations dealing with large volumes of data.

At Ardent, we have helped our clients set up hybrid and multi-cloud infrastructures to better manage their data whilst reaping the benefits of private cloud, public cloud and on-premise data in infrastructure.

Data analytics and visibility

There is an increasing demand for better data analytics and visibility as organisations look to improve their reaction rate to their data, whether that is real-time data on social media or data from streaming websites. Businesses are looking to take a custom approach to their data reporting as traditional, off-the-shelf data analytics and reporting tools present a number of limitations, from cost to the additional requirement of cleansing.

You can read about some of the key benefits and limitations that popular data reporting tools present.

Read our client success story about building a custom reporting tool for a global market research organisation.

Machine learning

Machine learning is not a new concept however the adoption of machine learning within data engineering is set to become increasingly prominent. Machine learning is used in data analysis to automate the process and essentially fill any gaps in the learning of data patterns. This can be incredibly beneficial to organisations that deal with large volumes of data that may be incomplete.

Automating data processes

In line with the demand for real-time data accessibility and reporting, the automation of data processing and cleansing is becoming increasingly popular. Automation of data processing and cleansing provides unmatched benefits such as reducing costs in terms of time and resources and quicker data accessibility. Data pipeline automation is currently adopted but is looking to become even more prominent in the data engineering world.

Ardent’s highly experienced data engineers have built sophisticated data pipeline infrastructure to automate the processing and cleansing of data. This ensures that there is a constant flow of data to meet client requirements of quick accessibility.

Read the full story about how our highly skilled data engineers built robust, scalable data pipelines with AWS infrastructure to ensure high data accessibility and speedy turnaround.

Laxman Amrale, head of data engineering at Ardent commented on his predictions for what's coming in data in the next 5 years: “I predict technology will evolve to further reduce the manual process required in handling and management of data, improvement of latency performance to real-time, there will be a high level of customisation available and there will be an improvement in the visibility of data going forward to meet client demands.”

Ardent data engineering services

Ardent have been providing data engineering excellence for over two decades and have worked with a wide variety of clients and data. Our engineers are proficient in world lead technologies and continue to add to their skill set by consistent training and development. If you are looking for an experienced data engineering partner, then get in touch to find out how we can help your organisation unlock your data potential.

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