So, you have decided to hire a Data Lake Services provider – great news! Data Lakes are incredibly valuable. But, it’s helpful not to have over-hyped and unrealistic expectations.
In our current data-driven climate a Data Lake is the obvious choice for your business, but only a well-planned strategy can lead to impactful results. A Data Lake comes with a variety of technologies and costs. Not only do you have to pick the right technology, but you should also ensure they will perform efficiently now and in the future.
Things to Consider:
- You will require additional data sources to support existing applications.
- You will want more control accessible to the end-users.
- You may be required to integrating data from your business data warehouse.
With these challenges ahead, it’s crucial to play safe.
Below are some of the most useful tips that will help you avoid major pitfalls of Data Lake adoption:
Tip #1: Build a Strong Data and Analytics Strategy
Imagine creating a 500-pages data and analytics document, which maps your company’s goals, principles, technology and implementation strategies.
A huge task, isn’t it? Hopefully, you won’t require 500-pages for creating your strategy.
So, what is analytics and data strategy?
A Data Lake is a small part of the ecosystem of ingesting pipelines, ecosystem, data processing technologies, metadata, database, analytics search engine and data access layer. Your data and analytics strategy will cover all these components.
Start with a capacity model. Consider these components as the parts of a car. How each part perfectly fit together and performs their role to make the whole system work.
Once you have a good understanding of the role of each component, you are all ready to create an amazing capability model. All you have to do is just decide the relevant parts.
Tip #2: Choose the Right Technology
Which technology is the best for your data lake creation? Go back to your capability model and find out which part is going to be involved in most of the activities. Then choose your technology according to that.
You must be prepared to answer the following:
- Does the selected technology meets current and future needs?
- Will multiple technologies work with each other?
- Will they work with the existing IT system?
- How the experts will build your data lake and will integrate it with the data ecosystem?
Once, you have finalized the architecture and the tech stack has been nailed down, you are all set to begin with the development and adoption.
Tip #3: Build an Ongoing Plan
While putting together the plan and technology, don’t forget management and maintenance. Who will keep an eye on Data Lake? Who will ensure that the pipeline feeding doesn’t get choked or malfunctioned? How important governance issues such as security, operations and access control will be handled?
Undoubtedly, cloud-native analytics and data are built for the utmost reliability and redundancy. Some can even eliminate downtime but only virtually. The Data Lake built on such incredible technologies must provide trouble-free applications of all the needed actions.
Storage, pipelines, data engines and access layer components can’t be overlooked. Make sure you have got your support of talented data lake services provider.
Adequate usage of Data Lake can keep your entire ecosystem connected and synchronized.
So, are you ready to establish a perfect Data Lake for your business? Contact our team of specialist Data Lake consultants based in the United States, United Kingdom and Europe for more detailed advice.