SAP Big Data: All You Need to Know

SAP Big Data

Technically, Big Data is the information that we gain on a daily basis, the data that comes from our gadgets such as smartphones, tablets, iPads and other kinds of gadgets. They are used for decision-making, making improvements to policies and processes and to invent customer-centric services, experiences and products. SAP Big Data especially, has been in the industry for so many years and they are very expert in handling Big Data. The data we are talking about can come from so many forms such as traffic cameras, weather satellites and the trends on social media. 

Is Big Data Valuable?

Big data has now become a form of capital. Consider some of the world’s largest IT companies. A significant portion of the value they provide is from their data, which they are constantly evaluating in order to improve efficiency and develop new solutions. Recent technical advances have cut the cost of data storage and computation tremendously, making it easier and less expensive to store more data than ever before. You can make more accurate and precise business judgments with an increased volume of big data that is now cheaper and more accessible.

3 Types of Big Data

SAP Big Data

There are three types of Big Data that are common in the industry. They consist of structured data, unstructured data and semi-structured data. These are the further explanation for each of them:

Structured Data

This type of data is known to be the easiest one to make the search and organisation. It is usually consists of demographic details and financial data. Even though structured data usually present in quite a number of volumes, there are times when it is not qualified to be considered as Big Data since it has its own structured data that are easy to make the search and to be organised. It has this easy process to allows both administrators and database designers to make the algorithms for the analysis and the search. 

Unstructured Data

While this type of data is able to include the essentials such as images, social media posts and audio files, it is hard to be seen in the common row-column relational databases. In simple saying, it is more difficult to be used than the structured data. Everything needs to be done manually, the analysis and the searching. Apart from that, this type of data takes quite a lot of time and is usually kept in data lakes and data warehouses. 

Semi-structured Data

As the name suggests, it consists of both of the previously mentioned types of data. One of the best examples of semi-structured data is e-mails. If you are familiar with e-mails, you would see the sections for the date, the sender and recipient and many more. The devices that have similar sections and aspects like this are able to send structured data and unstructured data. Hence why the name is semi-structured data. 

These are the brief explanation of Big Data that you should know. If you are interested in getting to know more about this topic, you might as well visit the SAP Big Data website for clearer information. You are assured to get the best information from that site. …

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