What Is Big Data Analytics?

Big Data Analytics on the concept already at that stage quite mature, in the sense that continues to grow today. Although the beginning of its use simply refers to the business sector, but now started to spread to the public sector. Many of the sources who asked about "What Is Big Data Analytics?". Big Data Analytics is generally focused on the process of collecting, organizing, and analyzing Big Data to get the required data set.

Not only aims to understand the information contained in Big Data, Big Data Analytics also tasked to identify critical data for business decisions today and in the future. Thus the Big Data Analytics generates information of a set of data analysts.

Benefit Big Data Analytics in a number of construction projects Big Data refers more to the question "What is required?". Big Data Analytics is a breakthrough that is appropriate to answer that question for Big Data Analytics capabilities to improve efficiency and increase the ability to handle risk management.

There are two important techniques in analyzing Big Data that needs to be known.

• The Store and Analyze Approach, is the integration of data sources into a consolidated data store before the data is analyzed.
• The Analyze and Store Approach, analyze the data that flows on the business process, which exists between the network and systems. The results of the analysis can then be published on interactive dashboards and / or published to the data store (such as a data warehouse) for user-accessible, produces historical reporting and analysis of other extras. This approach can also be used to filter and aggregate big data before entered into the data warehouse.

That's a little short explanation of the Big Data Analytics. From this it can be concluded that the analysis of Big Data to the needs of the current system and will continue to grow in the future.

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