What are the different components of Azure Synapse Analytics, and how do they work together? Synapse Studio: Web-based IDE for data exploration, development, and collaboration. SQL Pools: Data warehousing component for storing and analyzing structured data. Apache Spark Pools: Built-in Spark capabilities for big data processing and analytics. Pipelines: Visual interface for designing and managing data integration workflows. Data Integration: Seamless integration with various data sources for data ingestion. Data Lake Storage: Scalable and secure repository for storing raw and processed data. Data Integration Runtimes: Support for data transformation and enrichment tasks. Working together, these components enable efficient data analysis, collaboration, and end-to-end analytics workflows in Azure Synapse Analytics.