Data Engineering: Key Challenges and Tips to Overcome Them

As companies add more and more systems to their arsenals, they are gaining access to a whole lot of data. Now, to properly leverage said data, they turn to data engineering, i.e. developing platforms to gather and use data for the business’ benefit. Data engineering often involves the development of ETL and ELT pipelines, the creation of data warehouses or lakes, and the implementation of various types of data analysis. And, since data engineering projects are today gaining popularity with their use cases growing in complexity, there’s a possibility you may encounter a few challenges that teams may encounter along the way.

Listed are some of the important challenges:

1.Data management: Companies across a broad spectrum of industries all over the world are generating more and more data every single day. There are internal systems, IoT sensors, apps, mobile devices, etc. that add to this deluge of data. The surge in incoming data is not the only problem — inconsistencies in data pose an equal challenge for data engineering projects since they can cause inaccuracies and such. Experts recommend that this problem can be dealt with by setting up an extensive data management strategy, complete with a data governance plan. rn2. System integration: Any data engineering effort is driven by the goal to connect and integrate any pertinent data sources. This particular goal can be especially tricky to achieve when one is working with legacy systems which often lack the capabilities required for connecting with new-age solutions and software. To deal with this challenge effectively, it is imperative to undertake the modernization of legacy systems before you kick off the data engineering project. 3.Regulatory compliance:Yet another prevalent issue companies must contend with when it comes to data engineering is regulatory compliance. This is especially true if the company operates in sectors such as healthcare, finance, etc. which are subject to complex and stringent regulations and laws such as HIPAA, GDPR, PCI DSS, etc. Ensuring compliance is rendered even more complex owing to the constant evolution and changes. So, how does one deal with this? Well, you will need a handful of practices for it: first, keep a close eye on all the relevant laws and regulations. Second, it would be a good idea to team up with data engineering experts who can help you create compliant platforms. 4.Human error:The scope of human error always exists, in all our endeavors — in data engineering as well. This is because you have humans working on the project after all. To cut a long story short, there will always be chances for human error though companies can take several measures to protect against it. A good way to go would be to set up robust data management policies and practices. This will help you significantly cut down the risk of human mistakes that can take quite a toll on the project, the company, and its systems. Data engineering may seem challenging at the outset and to be honest, it is indeed a tad complex. With that being said, data engineering is well worth the effort, for it empowers organizations with the management of the flow of their data as well as with the development of an extensive infrastructure that will help drive the success of their business intelligence efforts. Of course, no endeavor is without its challenges and the same is true for data engineering as well. Most importantly, preparation is the key when you’re starting any data engineering project. Thankfully, being aware of the most common challenges as well as how to deal with said concerns goes a long way in ensuring the project can be executed seamlessly. A solid alternative would be to simply find and hire a trusted big data engineering services provider. And, now that you’re aware of some common challenges that would arise along the way — you’re better prepared to manage them. Though, if you’re looking for specialist technology consultation or want to discuss a concrete initiative — don’t hesitate to reach out and align your initiatives.