Reduce the cycle time of data utilization

This feature enables the transformation of data warehouse (DWH) logs into a business-friendly format by simply using an SQL editor for the conversion process. It streamlines the preparation of data marts, making it easier for businesses to analyze and draw insights from their data efficiently.

Users can define complex data pipelines through an easy to use graphical user interface (GUI), facilitating easier management of data flows. It supports numerous connector options, making it a versatile tool for data engineers who need to manage and integrate diverse data sources and processes.Scheduled DWH Queries support the regular execution of queries with customizable variables and Slack notifications to keep teams updated. Furthermore, Job Dependencies integrate with workflow functionality to create dependencies for systematic data aggregation post data transfers, optimizing data processing workflows. This comprehensive approach ensures efficient and effective data management and analysis.

This function addresses the challenge of navigating and understanding large datasets by eliminating bottlenecks that slow down the transition from data comprehension to utilization. It effectively reduces the time needed to identify and resolve data-related issues, enhancing overall productivity and decision-making speed.Enhanced table previews offer detailed metadata, summary statistics for data distribution insights, and functionalities like filtering and sorting, streamlining data understanding.The query editor caters to engineers with features like auto-completion, query saving, execution previews, and CSV export options, enabling immediate query writing from anywhere within the data catalog.

Offers the capability for flexible testing and verification of data stored in the data warehouse. This feature ensures the integrity and accuracy of data before it's used for analysis, reporting, or decision-making, contributing to the reliability of data-driven insights for your business. By integrating these checks with workflow functionality, the entire process of data verification and integration is automated, streamlining the monitoring and maintenance of data quality and consistency across platforms.

This extends the principles of Infrastructure as Code (IaC) to the realm of data analysis platforms, promoting more efficient and reliable setup and management of data infrastructure. By linking data transfer settings with Git in YAML format, users can achieve version control for their configurations, allowing for changes to be reviewed through pull requests by the team. Furthermore, API integration facilitates job execution and status monitoring, with the capability to specify custom variable settings at runtime. It enhances collaboration and integration with external tools through robust API support, streamlining workflows and facilitating automation.

Utilizing trocco for all operational tasks streamlines processes significantly, eliminating the need for custom development of functions such as periodic execution and error notifications, which are required when using tools like Embulk. Trocco provides a comprehensive suite of necessary operational functionalities, including team-based management of operational permissions for transfer settings and connection information. Its features support regular, scheduled executions, as well as advanced notification systems through Slack or email, which can be triggered by error counts or execution times, and a mechanism to prevent duplicate job executions in closely scheduled scenarios. This cohesive approach enhances efficiency and reduces the complexity of data operations management.

With a dedicated software development kit (SDK), this tool enables the collection of web logs and event data, which can then be seamlessly transferred to the data warehouse of choice. It's an effective way to gather web analytics data for further analysis and insights. For Example by simply embedding JavaScript tags on your website, you can effortlessly collect essential data for web analysis, including page views (PV), events, and email opening logs, mirroring the comprehensive data collection capabilities of Google Analytics in terms of raw logs, session, and channel definitions. Moreover, these logs can be seamlessly transferred to your preferred Data Warehouse (DWH), provided it is compatible with trocco services, ensuring that your web analytics data is easily accessible for in-depth analysis and decision-making.

Recognizing the importance of securing sensitive data, trocco ensures stringent security for data and sensitive information, employing encrypted communication for data in transit and AWS KMS for the encryption and isolated storage of sensitive details like connection passwords. It enhances data integrity and privacy by launching a dedicated server, in the form of a new container, for each data transfer, ensuring no data mix-up between different companies' accounts. Post-transfer, containers are destroyed, minimizing customer data retention time. Furthermore, Trocco® meets rigorous security standards by offering AWS PrivateLink for secure, private internet-free communication with external services, catering to those with strict security requirements and seeking additional safeguarding for their data transfers.

trocco offers comprehensive support to ensure clients can effectively utilize our services, including post-implementation onboarding sessions, assistance with specific inquiries, and error analysis, all included within the advanced plan at no extra charges. This type support structure fosters a seamless user experience, and for more interactive and prompt communication, we provide support channels through Slack and email, available during weekday daytime hours, excluding public holidays and weekends. This approach ensures that users receive timely assistance and guidance, enabling them to maximize the benefits of trocco’s offerings.