Improved visibility and insights: Disparate data integration facilitates holistic operational, customer, and market visibility, enabling data-driven decisions and enhanced performance.

Simplified data management: Centralize your data chaos. Cloud aggregation offers a single home for all your info, streamlining management, saving resources, and simplifying compliance.

Enhanced analytics: Cloud-based data aggregation facilitates efficient execution of advanced analytics. This enables identification of key trends, patterns, and potentially valuable opportunities within the data.

Increased agility: Real-time cloud data aggregation enables rapid decision-making by offering immediate data insights, enhancing organizational agility in a dynamic market.

Grouping and Aggregation Functions:

• Group data based on one or more attributes: This could involve grouping by time periods, product categories, or customer demographics.

• Apply aggregation functions to each group: Common functions include sum (total sales), average, count (number of customers), minimum and maximum values.

Roll-up and Drill-down:

• Roll-up: Summarize data at higher levels of granularity

• Drill-down: Explore specific details within a group.
  

Trino: A blazing-fast, open-source SQL query engine for analyzing massive datasets across diverse data sources, making it ideal for real-time insights and data exploration.

DBT LAB: A cloud-based data transformation platform designed for data analysts and engineers to build, test, and deploy data pipelines efficiently, ensuring data quality and lineage.

Google BigQuery: A serverless data warehouse for querying and analyzing large-scale datasets with ease, offering powerful scalability, security, and integration with other Google Cloud services.

Materialize: An open-source, embedded analytical database that seamlessly integrates with your application, enabling real-time analytics and data-driven decision making without the need for separate data warehouses.