Data Engineering and Big Data

Data Modeling is the creation of data structures and relationships to support efficient storage and retrieval.

Data Warehousing is the storage and management of large datasets optimized for reporting and analysis.

Business Intelligence is a technologies and practices for analyzing business data to support strategic decisions.

Data Engineering is the design and construction of systems for collecting, storing, and processing data.

Centralized repositories optimized for analytical queries are structured around schemas that support aggregation, reporting, and historical analysis.

Pipelines extract, transform, and load data across systems while enforcing schema, quality, and timing constraints.

Amazon Kinesis is a real-time data streaming platform for ingestion and processing.

Amazon Redshift is a cloud data warehouse for large-scale analytics.

Big Data is the handling and analysis of large and complex datasets beyond traditional processing capabilities.

Data Governance is the management of data availability, usability, integrity, and security within an organization.