As we already know, the available data is almost infinite. This is the point where one needs to answer the following questions:
- What information is relevant, and what needs to be scrapped?
- What data do I need?
- Where do I find that data?
Should you miss defining this data parameter, you will be going to end up with stacks of useless data. Let us, first understand the main data types.
Structured Data
This type of data is traditional and it only gives an overview of the customers. This type of data have a defined format and structure. Some examples of structured data are excel tables, web forms, and multiple-choice quizzes.
Unstructured Data
This is a data type we usually see. Around 80% of the company’s data is unstructured. Once this data type is properly structured, it allows a deeper understanding of customers and their behavior. Some examples are a person’s current location or places they have visited, conversations on social networks, images, or audio files such as telephone recordings.
Semistructured Data
This is a data type we usually see. Around 80% of the company’s data is unstructured. Once this data type is properly structured, it allows a deeper understanding of customers and their behavior. Some examples are a person’s current location or places they have visited, conversations on social networks, images, or audio files such as telephone recordings.
Now, once you have data in the abovementioned three formats, you need some tools to make them readable and understandable. Let us talk about the tools to handle Big Data –
Hadoop
It is the standard framework for storing, analyzing, and processing large amounts of data. Its programming models are simple, but it has enormous storage power. They are based on taking advantage of everything available and have high scalability.
Python
Python is a fairly advanced programming language, however, it is simple to use despite not being very familiar with it. Among its advantages is its popularity, since it has a variety of libraries created by other users, which makes it very efficient.
ElasticSearch
This is a Big Data tool to search for complex data as it allows you to index and analyze large volumes of information in real-time. One of its advantages is that they give you graphs that allow you to better understand the data obtained.
Now that you know a bit about the advantages of modernizing data architecture, if your organization is looking for big data consulting or data architecture consulting, feel free to contact us..