Amazon Athena

Using Amazon Athena in Infoveave

In Infoveave, Amazon Athena serves as a powerful query engine for analyzing large datasets stored in Amazon S3. By directly querying structured and semi-structured data using SQL, Infoveave users eliminate the overhead of setting up traditional databases. This integration empowers businesses with cost-effective, scalable, and flexible analytics while ensuring quick setup and minimal maintenance.

Data ingestion from Amazon Athena into Infoveave is seamless, as Athena queries fetch structured datasets directly from S3. Infoveave connects with Athena using secure credentials and query configurations, allowing efficient extraction of business-critical information. Once ingested, this data can be transformed, modeled, and visualized within Infoveave dashboards to support informed, real-time decision-making.

Infoveave also supports synchronizing processed or enriched datasets back into Amazon S3 using Athena’s workflows. This bidirectional approach ensures that insights derived in Infoveave are not only consumed within dashboards but also reintegrated into enterprise data pipelines. Businesses benefit from a streamlined loop of analysis, transformation, and synchronization across their cloud ecosystem.

• Query large-scale structured and semi-structured data directly from Amazon S3.
• Eliminate traditional ETL overhead with serverless SQL-based queries.
• Enable cost-effective data analytics with pay-per-query pricing.
• Visualize Athena datasets in Infoveave dashboards for actionable insights.
• Streamline decision-making by synchronizing processed data back to S3.
• Integrate Athena queries with workflows for real-time analytics pipelines.