Managed data engineering teams – getting started

A managed service is the process of outsourcing specific functions this can range from software development to data management. Outsourcing these functions if you do not already have existing time and resources in-house can provide invaluable benefits can give you access to experienced and highly skilled professionals in the field. Managed data engineering teams, depending on your unique requirements will work on a project or an ongoing basis to build and/or maintain your data and data infrastructure, whether that is real-time processing data pipelines or building a scalable data lake.

Here we will look at managed data engineering teams, their key benefits, factors to consider before working with a managed data engineering team and how to get started.

What managed data engineering teams offer

There are a wide variety of benefits on offer with a managed service approach to data engineering if you work with the right provider. Here are some of the key benefits on offer for any business:

Access to highly skilled teams

One of the greatest benefits of hiring a managed data engineering team is access to highly skilled teams and professionals. These professionals will have invested time and resources to hone their skills and learn the ever-evolving technologies and you can have access to them without having to cover training costs.

Peace of mind

If you work with the right team, you can have complete peace of mind as you have passed on the responsibility to a capable and experienced third party. This also provides you with insurance that should there be any errors or costly mistakes, it will not impact you as much as it were if this happened in-house.

Expertise and suggestions

The world of technology is always evolving and changing, therefore professionals working in the industry always need to keep up. Working with a data services company that offers managed teams will enable you to work with experts in the field and due to their experience, they will be able to offer solutions to your challenges that you may have not considered. Additionally, as they will be trained in multiple technologies, they can make recommendations based on what is right for your unique requirements and data.

Cost-efficient

Working with managed data services company is a much more cost-efficient solution than hiring in-house teams. From recruitment costs to salaries, these are all costs you can avoid by working with an experienced data engineering team.

What managed data engineering teams can do

Depending on the company and the structure of its managed data services, it should be able to offer you a wide variety of solutions catered to your business or data challenges. Here are just some of the examples of projects or ongoing solutions managed data engineering teams can offer:

• Building robust, secure and scalable data architecture, from data pipelines to a data warehouse
• Design and optimise your data schema
• Provide 24/7 operational monitoring support all year round
• Build and provide automated data solutions including ETL automation
• Ensure your data is secure, high performing and optimised

Factors to consider when looking for managed data services

Finding the right company to work with can be challenging because if you choose the wrong partner, it can be a costly venture. Here are some factors you need to consider when looking for managed data services.

Experience

Relevant experience is key, especially if you are outsourcing. Find out if the company has the right experience in relevance to your data and organisation. An experienced party will be able to demonstrate this.

Costs

The cost will be one of the major driving factors when it comes to outsourcing your data engineering. When you work with an external party, you will be paying for their time and expertise, therefore keep that in mind when negotiating.

Successful track record

Another key consideration you should look at is the track record of successful projects, this can be through customer use cases or success stories. This can give you a good idea of their level of expertise.

Client engagements

You may want to find out which client the company has had or currently work with. This can enable you to see if they are fit for the job and can deliver your solutions effectively.

Communication

For the success of your project and ongoing relationship with the data engineering partner, you will need to ensure that effective communication is in place. Establish modes of communication and frequency that will work for you.

Delivery

Another key factor to consider is the delivery of the project. Establish a timeline and delivery structure to ensure your solutions are being delivered within the set timelines.

How to get started with managed data engineering teams

To get started with a managed data engineering team, ensure you know what you are looking for. Work with a company that you are confident is capable of delivering your solutions by taking the factors listed above into consideration. You can always reach out to us here at Ardent, and we can demonstrate our wins, skills and expertise.

Ardent managed data services with highly skilled teams

Ardent managed data engineering teams can come on board to either become an extension of your existing teams to bridge skills gaps or enhance your existing operations. Alternatively, they can provide the complete service allowing your teams to focus on core business operations and objectives. Our team of highly skilled and experienced data engineers are proficient in world-leading technologies including the likes of AWS and Microsoft Azure, MongoDB and more. If you are looking to get started or want to find out more, get in touch today.

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