Globalization has brought about very many technological changes in our globe today. Everything including marketing has transformed and taken the digital and online shape. This explains the need for big data solutions and particularly for big companies. To ensure smooth running in companies and enterprises, there is always a need for complex technological layers to ensure the effective collection of data. Companies in this case always find themselves in need of services like data lake solutions to ensure pieces fit together. In this review, we are going to give a better overview of some of the solution patterns and data validation for Data Lake.
Science Data Lab Solution Pattern
Just as its name sounds, it is called lab since it is where experimentation and discoveries always take place to ensure effective use of the tools of data science. This is the best and most sorted method of Data Lake since it is diverse in that it can work with both new and existing data. It is also an effective method to ensure a good combination of data emanating from different sources. The central importance of this solution pattern is to try out machine learning and also try to get the value in data.
Data Warehouse Solution Pattern
This is the most highly structured forms of data solution patterns. The pattern is always liked most by enterprises as it helps manage essential business data and also act as a source of business intelligence. The most significant advantage of this solution pattern is the large rational databases it is built on. Before data is loaded into warehouses, there is always a need to ensure it is transmitted in the best way by transforming it into the desired structure. This solution pattern ensures all this making it one of the most sorted by most of the big companies and enterprises.
Advanced Analytics Solution Pattern
Just as its name sound, this pattern is advanced in that it works out in most advanced operations that require machine learning, geospatial, graph analytics techniques and many more. The pattern is also one of the most effective when a lab has limited processors and storage since it effectively works to meet the demands of a scaled-up workload. This data pattern is also one of the most liked due to its automation to run jobs periodically.
Stream Analytics Solution Pattern
This is more of an analytic data that focuses more on advanced analytics of big data patterns. When streaming data, there is always a lot of demands. Among them include ensuring the process is completed quickly. The model is also one of the most liked due to its ability to distinguish patterns in trades and also its ability to make predictions about customer’s behaviors.
From the review in this article, we can see every pattern has its advantages. The best thing with the models is their ability to be combined. Companies and enterprises can, in this case, be in a position to use more than one pattern to achieve their objectives and purpose.