Choosing the Technology Stack for a Data Lake
Data Lake is a sophisticated technology stack and requires integration of numerous technologies for ingestion, processing, and exploration. Moreover, there are no standard rules for security, governance, operations & collaboration. It makes things more complicated. Wait! That’s not all. You also have hard SLAs for query processing time, data ingestion ETL pipelines. Lastly, the solution needs to be scalable from one user to thousands of users and from one kilobyte of data to few petabytes of data.
As the big data industry is changing rapidly, you need to select technology which is here to stay and robust enough to comply with your SLAs. At OvalEdge our objective is to provide all the possible details about each solution to our customers and prospective customers so that they can decide which one caters best to their specific needs.
Factors to consider for Technology Stack
There are many other factors a business must look into before selecting their technology stack. Given below are those factors and how they fare amongst three types of infrastructure – On-Premise, on the Cloud and Managed Services.
|Monthly Cost||Economic with large datasets||Predictable||Predictable|
|Vendor Lock-in||Avoidable||Avoidable||Not Avoidable|
|Suitability||For large corporations||For all businesses||Ideal for startups|
|Investment||Substantial in the beginning||More as data grows||More as data grows|