If you are a small or large business, it is very important that you stay on top of things that need to be done with the data that you collect. Where that is true, RealtimeCampaign.com provides the competitive edge needed by most companies. One of the first things that you should know is sensitive information should be protected at all cost, especially while it is in your possession and you have control over it. It is also important that you have a clear understanding of what it means to have data that you can use to better your business, increase your revenue, target an audience that is willing to buy your products and services and a host of other things. On the other hand, none of the data that you have can help with any of your goals and objectives if you do not know how to go about using it to create a data lake.
1. What is Data Lake?
A data lake can be described in several different ways. To avoid any confusion or misinterpretations, it is important to make it clear on the front end that is considered to be a repository of data or system that allows information that is stored to remain in its natural format. For instance, if you have access to see how the format is actually designed, you may see that data is stored in either file forms or in blogs. It is raw data that comes from an enterprise and is referred to in different ways. For some people in the data lake profession, they may refer to this enterprise data as source system data or as a raw copy of the companies files. Either way, this data stays in a raw file format so that anyone can run standard and custom reports, graphs and charts, or pull from it to obtain data that they can analyze for different purposes. This is also one of the primary reasons why Data Management And Data Literacy Need To Go Together.
2. History of Data Lake
If you research data lake and its inception, you will most likely find that these concepts date back to the 1970s. Some people from this time may even think of the name data like as a playful metaphor since it is also considered a variation of data warehouse too. For instance, if you want to form a picture in your mind of what a data lake looks like, you will find that is akin to occupying a Paxata warehouse or a large building that stores information. To find out how data lakes works, you may want to include big data concepts in your research.
3. Enterprises Using Data Lakes to Make Critical Decisions
This information is stored in a specific format. Especially since it is a huge structure that is organized in specific classifications for the purposes of retrieval and analytics. In the terms that professional IT professional use, you may also see this information in large relational databases and they are used to make critical decisions for enterprises.