Introduction of big data application development is too biased towards the bottom, with learning difficulty, involving a wide range of technical issues, which restricts the popularity of big data. Big data architecture is a very common form of big data technology applications, so what does the big data system architecture contain content involved? Here we will be specific to understand.

1, data sources

All big data architectures start with source code. This can include data originating from databases, data from real-time sources (such as IoT devices), and their static files generated from applications (such as Windows logs).

2. Real-time message reception

If there is a real-time source, a mechanism needs to be built into the architecture to ingest the data.

3. Data storage

Companies need to store the data that will be processed through the big data architecture. Typically, data will be stored in a data lake, which is a large unstructured database that can be easily scaled.

4. Combination of batch and real-time processing

Companies that need to process both real-time data and data at rest should have a combination of batch and real-time processing built into their big data architecture. This is due to the ability to apply batch processing to efficiently process large volumes of data, whereas real-time data needs to be processed immediately to bring value. Batch processing involves long-running operations to filter, aggregate and prepare data for analysis.

5, analytics data storage

Prepare the data to be analyzed, they need to be placed in a location that makes it easy to analyze the entire data set. The need for analytics data storage is that all of the company's data is aggregated in one location so that its analysis will be comprehensive and optimized for analytics rather than transactions. This may take the form of a cloud-based data warehouse or a relational database, depending on the company's needs.

6. Analytics or reporting tools

After ingesting and processing the various data sources, the company will need to include a tool to analyze the data. Typically, companies will use BI (Business Intelligence) tools to do this, and or need data scientists to explore the data.

About what is involved in the big data system architecture contains content, it is shared here, I hope you can help, as a new era of college students, we only do not count to improve self-skills, enrichment of self, is the most correct choice.