Centre for Research on Engineering Software Technologies


Big Data Cloud Platform

In an era where data reigns supreme, the ability to mine, analyze, and draw actionable insights from vast repositories of information is invaluable. With industries as diverse as healthcare, finance, and entertainment churning out quintillions of bytes daily, a one-size-fits-all analytical solution becomes impractical and ineffective. Recognizing the multifaceted nature of various domains and the nuanced requirements each holds, the need for an adoptable analytical platform is more pronounced than ever.

The CREST Big Data Analytical Platform aims to revolutionize the way organizations process, analyze, and derive insights from vast volumes of data. Constructed to handle large amount of structured and unstructured data, this platform utilizes state-of-the-art technologies, including distributed computing frameworks like Apache Hadoop and Apache Spark, paired with robust data storage solutions such as HDFS and NoSQL databases. Through its user-friendly interface, users can quickly set up data ingestion pipelines, run sophisticated analytics, and visualize results, making data-driven decision-making more accessible than ever.

Underpinning the platform is a suite of machine learning and AI algorithms which, when applied, empower businesses to unearth patterns, predict future trends, and optimize operations in real-time. Designed with scalability and flexibility in mind, the platform ensures seamless performance even as data inflow grows, accommodating the ever-evolving needs of enterprises across different cloud sources. By merging cutting-edge technology with intuitive design, the CREST Big Data Analytical Platform allows transforming of raw data into actionable insights, driving industries towards a smarter, more informed future.

Project Members

  1. Anjitha Sreekumar
  2. Trung Ky Moc
  3. Aufeef Chauhan
  4. Bo Wu

Adelaide, SA, Australia

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