Database, Data Lake, And Data Warehouse

The modern world runs on data, and without it, institutions and businesses would not be successful. However, a key aspect of data is how it is stored. Database, data lake, and data warehouses are the top three ways of storing data, and here is everything you need to know about them. 

The Basics Of Database, Data Lake, And Data Warehouse 

The most conventional way to store information is a database. It is a structured set of data that is stored within the software. 

A data lake is another approach where raw data is stored for future analysis and modeling. It is one of the best choices to store a large amount of data that needs to be accessible by many people. Usually, the data is stored in logs or flat files. 

Finally, data warehouse is a collection of many databases. This type of storage includes analytics that generates statistics so the many changes can be studied over time. It is a unified system that allows for the information to have some order before storage. 

Top 3 Strategies For EA’s To Overcome Hurdles In Data Warehouse And Lake Practices 

As an enterprise architect (EA), here are the top three strategies you can utilize to overcome problems with data lake and warehouse:

1. Ensure Quality Of Data 

An EA should always focus on the quality of data. That means the data must be validated, organized, available in real-time, trusted and organized for reporting, queries, and analytics. Here are some steps you can take to ensure the quality of data:

• Identify, catalog, and tag all data

• Automate the process of data searching

• Create a security policy to process each type of data

• Audit data

• To ensure the timeliness and accuracy of data, show time variants

• Ensure data governance

All these practices will ensure that your data is of the highest quality and free of errors. 

2. Tooling Choices 

As an EA, you have to get all the tools under the financial budget given by the organization. The best way to approach this is to state your requirements so you can weigh various options clearly. Here are the most important questions to ask when making tooling choices:

• What features are you getting in the price range?

• Will the personnel require training to use these tools?

• How will certain tools integrate with others?

• Do you need licensing to use these tools?

• Will the tools help your business for the foreseeable future?

All these questions will help you identify the tools you need to store your data successfully. 

3. Building Vs. Buying 

The most important question is, do you want to build your tools or buy them from a vendor? It is important to understand your performance capabilities and vendor requirements before you make this decision. That is because it will shape the way your data is stored and accessed within your organization. 

Final Words

Sounds easy? Believe me, it is not! To make your business a success, you need to understand all of this for smooth data storage and accessibility process. Once you do, all your processes will become optimized. It is a challenging, long, painful journey, to be realized within the available budget without being a money pit, and we can help you with that.