“We are Entering a New World in which Data may be More Important than Software” - Tim O’ Reilly
The above mentioned quote hints at what the future is all about. The rising significance of Data with passing time is clearly noticeable.
While there is no dearth of Data and a staggering mass of it is generated on a daily basis across the world; much of it would make no sense, unless there do exist a proper mechanism in place for managing and storing it.
This leads us to the notions of Data Warehouse and Data Lake. However, given the confusion which surrounds the two terms, it is important to understand what is Data Lake vs. Data Warehouse.
Moreover, the question of Data Warehouse vs. Data Lake is an important consideration in terms of understanding the best possible means for managing Big Data at your disposal.
In this blog, we shall seek to understand the two concepts of Data Lake and Data Warehouse in detail, with particular emphasis on the issue of Data Lake vs. Data Warehouse. We shall elaborate on what is Data Lake vs. Data Warehouse in their individual capacity, along with understanding the benefits of each. Consequently, we shall undertake a comparative analysis on the issue of Data Lake vs. Warehouse.
What is Data Warehouse?
The presence of the word ‘warehouse’ will to a large extent help you in understanding the notion of a Data Warehouse.
Within an actual warehouse, after the processing of contents, they are segregated and organized onto shelves and sections. A Data Warehouse too, can be understood as a repository where integrated data stored comes from diverse sources.
The data present in a Data Warehouse is highly structured and unified and is appropriate for extracting meaningful business insights.
One can think of it as a collection of ready to use data for supporting historical analysis and informing business decision making.
So what are some of the properties of features of a Data Warehouse? These are:
- Highly structured
- Highly transformed
- It follows a definite methodology
- Neatly organized and segregated by subject area
- Data is only loaded onto warehouse when its objective and use has been explicitly defined
Benefits of Data Warehouse
- Contributes towards the processes of Data Analytics and Business Intelligence
- After the processes of Data Cleaning and Processing, it is considered to be completely conducive for deriving valuable insights
- Data Warehouse represents complete accurate data which helps business convert information into insights
- There is little to no data preparation required