Getting Started with Hevo - An Overview

Summary

TiVo's automated data pipeline simplifies the process of syncing data from multiple sources like MongoDB to data warehouses such as Google BigQuery, Amazon Redshift, and Snowflake. With its no-code platform, users can easily configure real-time data flows, eliminating the need for manual coding. Key features include auto-mapping for schema detection, fault tolerance, enterprise-grade security, and live support. TiVo also offers data transformations within the warehouse, such as data aggregation and filtering, ensuring seamless analytics. It's an efficient, scalable solution for organizations looking to automate their data integration and analytics workflows.

Takeaways

• 😀 TiVo's automated data pipeline solves the challenge of accessing data from multiple sources like databases and SaaS applications.
• 😀 You can bring data from hundreds of sources in real time into your data warehouse (Google BigQuery, Amazon Redshift, Snowflake, etc.).
• 😀 TiVo's no-code platform allows users to sync data in real time without needing to write any code.
• 😀 Data pipelines in TiVo help move data from a source to a warehouse, with easy integration from hundreds of sources.
• 😀 TiVo offers schema auto-mapping to automatically create and adjust schemas in your warehouse based on incoming data.
• 😀 Auto-mapping handles schema changes, automatically updating the destination warehouse if there are future changes in incoming data.
• 😀 TiVo provides full visibility into data pipeline progress, allowing you to track records ingested and loaded into your warehouse.
• 😀 The platform is fault-tolerant, with issues in data load leading to affected records being parked in a staging area for later resolution.
• 😀 TiVo offers enterprise-grade security with end-to-end encryption, two-factor authentication, and compliance with GDPR, SOC-2, and HIPAA.
• 😀 Users can clean, transform, and pre-aggregate data within the warehouse using a visual interface for faster analytics.
• 😀 TiVo provides real-time alerts via email, Slack, and CloudWatch, and offers live chat support for users experiencing delays or errors.

Q & A

What problem does TiVo's automated data pipeline solve?

TiVo's automated data pipeline solves the problem of data being spread across multiple sources, making it challenging for users to access all the necessary data for analytics. It enables seamless data integration from hundreds of sources in real time.

How does TiVo's platform help users sync data from different sources?

TiVo's no-code platform allows users to sync data from various sources, like MongoDB or other databases, into a data warehouse such as Google BigQuery, Amazon Redshift, or Snowflake without needing to write any code.

What is the role of auto-mapping in TiVo's data pipeline?

Auto-mapping automatically creates the most appropriate schema in the destination warehouse based on the incoming data. If there are any schema changes in future data, TiVo's auto-mapping feature ensures the destination schema is updated accordingly.

Can users manually configure the schema in TiVo's platform?

Yes, users can choose to turn off the auto-mapping feature and manually create the schema in their destination warehouse if desired.

How does TiVo handle data flow visibility?

TiVo provides complete visibility into how data flows through each data pipeline. Users can track the number of records ingested and loaded, monitor latency, and view detailed stats for different time frames and individual jobs.

What happens if there is an issue with incoming data in TiVo?

If an issue arises and data can't be loaded into the warehouse, TiVo parks the affected records in a staging area. Users are notified, and once the issue is fixed, they can selectively replay the affected records.

What security measures are in place on TiVo's platform?

TiVo ensures enterprise-grade security, supporting end-to-end encryption, two-factor authentication, and compliance with GDPR, SOC 2, and HIPAA standards.

How does TiVo notify users of any delays or errors in the data pipeline?

TiVo sends alerts via email, Slack, and CloudWatch to inform users of any delays or errors in the data pipeline. It also offers live chat support within the product.

What transformation features does TiVo provide for data within the warehouse?

TiVo offers a simple visual interface to transform data within the warehouse. Users can pre-aggregate or denormalize data for faster analytics, and clean or mask sensitive data such as PII. It also supports date format standardization and data filtering.

How does TiVo handle data transformations before loading data into the warehouse?

TiVo allows users to clean and transform data before it is loaded into the warehouse. This includes common tasks like setting field value masking for PII data, filtering non-useful information, and standardizing date formats.