TOOLS AND TECHNOLOGIES
Outside of Programming, Probability, Statistics, Data Modeling, Machine Learning, Data Visualization, Evaluation, and the following are the set of the pre-requisite :
- Participants are responsible for bringing a Workstation/Laptop with SDK/Tools Installed.
- Languages: - Python or R
- Tools: Visual Studio Code/Juypter Notebook/R Studio
The following AWS resources will be available during the hackathon. Relevant tutorials and documentation are provided for participants to get familiarized with these technologies.
QuickSight (BI Dashboards/reports/analytics tool)
Description: Unified business intelligence tool to meet varying analytics needs such as modern interactive dashboards, paginated reports, embedded analytics, and natural language queries.
Documentation: https://aws.amazon.com/quicksight/
Youtube video: https://www.youtube.com/watch?v=2KEWxdPiUh8
Workshop: https://catalog.workshops.aws/quicksight/en-US
Sagemaker Canvas (for AI/ML)
Description: A visual point-and-click interface to generate accurate ML predictions for classification, regression, forecasting, natural language processing (NLP), and computer vision (CV).
Documentation: https://docs.aws.amazon.com/sagemaker/latest/dg/canvas.html
Youtube video: https://www.youtube.com/watch?v=8gm1TD9TXp0
Workshop: https://catalog.us-east-1.prod.workshops.aws/workshops/80ba0ea5-7cf9-4b8c-9d3f-1cd988b6c071/en-US
Glue Data Brew (for Data Transformation/Cleansing)
Description: AWS Glue DataBrew is a visual data preparation tool that makes it easier for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning (ML).
Documentation: https://aws.amazon.com/glue/features/databrew/
Youtube video: https://www.youtube.com/watch?v=G8o5ekfbBO4
Workshop: https://catalog.us-east-1.prod.workshops.aws/workshops/6532bf37-3ad2-4844-bd26-d775a31ce1fa/en-US
S3 (for Data Storage)
Description: Object storage built to retrieve any amount of data from anywhere
Documentation: https://aws.amazon.com/s3/
Youtube video: https://www.youtube.com/watch?v=e6w9LwZJFIA or https://www.youtube.com/watch?v=FZCZbPEMlXk
IAM (Security policies and permissions)
Description: AWS Identity and Access Management (IAM) securely manages identities and access to AWS services and resources
Documentation: https://aws.amazon.com/iam/
Athena (can be used for SQL queries on S3 data)
Description: Analyze data where it lives with ease and flexibility, for example, the data that resides in S3.
Documentation: https://aws.amazon.com/athena/
Workshop: https://catalog.us-east-1.prod.workshops.aws/workshops/9981f1a1-abdc-49b5-8387-cb01d238bb78/en-US