By Technology
Data Lake / Lakehouse
A data lake is a centralized repository that allows for the storage of large volumes of raw, unstructured, and structured data with the flexibility to be processed and analyzed for diverse analytics and machine learning purposes. It enables organizations to store and manage vast amounts of data in its native format until needed.
Challenges with Data Lake / Lakehouse creation
- Data Quality: Ensuring accuracy and consistency of diverse data sources.
- Data Governance: Establishing policies for access, security, and privacy
- Integration Complexity: Handling varied formats and structures of data from different sources.
- Scalability: Designing for growth to accommodate increasing volumes of data.
Advantages with Ask On Data
- Quick implementation of data lake with simple chat interface
- Support of various data lake platforms as target as well as other datasources for source
- Ensuring data quality using various chat based operations like data cleansing, data transformation and data testing
- Ensuring data compatibility with various casting and other kind of transformations
- Fast speed of development
- NO dependence on tech developers
- Data governance with automatic documentation and other features
- Initial load and incremental load