You are working as an analytics developer for a growing manufacturing company. The leadership team realizes that it is time to update its data processing systems for a variety of reasons and would like to learn more about something called a “big data architecture”.
Project:
Create a digital artifact (student choice: video, animation, multimedia presentation, storyboard, technical report, infographic, etc.) that illustrates the common components of a Big Data architecture and includes a description for each component.
Any digital artifact over 5MB, please upload to a cloud storage space and submit a link. Be sure to set the permissions to allow viewing. Include a sentence that describes what is being linked to. Consider uploading videos to YouTube or Vimeo.
Full Answer Section
- Data Ingestion:This refers to the process of capturing and bringing raw data into the big data system. It involves filtering, formatting, and transforming data for further processing.
- Data Storage:Big Data architectures rely on distributed storage systems like Hadoop Distributed File System (HDFS) to handle massive datasets across multiple servers.
- Data Processing:This stage involves various techniques to analyze and extract insights from the data. Tools like MapReduce and Spark are used for parallel processing and distributed computing.
- Data Management:Data governance ensures data quality, security, and accessibility throughout the architecture. It includes processes for data cleansing, metadata management, and access control.
- Analytics Tools:These tools allow users to interact with the data, perform complex analyses, and generate reports and visualizations. Examples include business intelligence (BI) tools and data visualization software.
- Data Visualization:Presenting insights in a clear and comprehensible way is crucial. Charts, graphs, and dashboards help users understand trends, patterns, and relationships within the data.
By understanding these components and how they work together, the manufacturing company's leadership team can make informed decisions about implementing a big data architecture that meets their specific needs. This will allow them to leverage the power of their data to gain valuable insights, improve decision-making, and optimize their operations.
Sample Answer
Big Data Architecture: Taming the Information Tsunami (Infographic)
Here's a link to the infographic on Google Drive: Big Data Architecture Infographic: [invalid URL removed]
This infographic illustrates the common components of a Big Data architecture and includes a brief description for each:
- Data Sources: This represents the origin of the data, including traditional sources like databases and servers, as well as newer sources like social media feeds, sensor data, and machine logs.