Ease of Collaboration with Data Catalog

Features

Helping you elevate your data
management experience

Simplify Data Analysis with Trocco’s Data Catalog

Trocco® transforms metadata management with a user-friendly data catalog feature, automating metadata acquisition for easier data location and comprehension.

This streamlines the analysis process, speeding up insight generation and making data analysis accessible to users of varying skill levels, thereby enhancing the overall efficiency of analytics infrastructures.

Effortless Metadata Accumulation as Your Data Platform Evolves

Trocco's data catalog autonomously grows with your analytics platform, automatically accumulating metadata from diverse sources and warehouses, eliminating manual entry.

This feature adapts to data transfer settings and expansions, significantly reducing metadata management effort and evolving as a key asset to enhance the analytics infrastructure.

Intuitive Tools for Comprehensive Metadata Insight

Trocco's table overview screen provides easy access to table and column metadata, enriching data handling with advanced preview functionalities like summary statistics, and filtering and sorting capabilities.

This enhances data comprehension, allows deep dives into records, and streamlines data utilization, offering a comprehensive understanding of data distribution and overview.

Advanced Query Editor for Engineers

Trocco's query editor enhances engineer productivity by offering instant query writing from any data catalog screen, with features like auto-completion, metadata display, query saving, execution previews, and CSV export.

This multifunctional tool is tailored for convenience and efficiency, matching the capabilities of daily-use engineering editors. 

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Technical Capabilities

Elevate Your Data Workflow and Streamline Analytics with Automated Schema, Custom Templates, and Dynamic Variables

Utilize the Search Function

Trocco® leverages Elasticsearch for fuzzy search, enhancing data discoverability for novices by simplifying navigation through vast data landscapes, making data location effortless.

Create Column Lineage Visualization

With a detailed genealogy diagram, users can visually trace the origin and application of each column in a table, understanding the impact and lineage of data elements. This aids in comprehending the data's journey and its transformations.

Get ER Diagram Accessibility

Trocco provides instant clarity on the relationships between tables, essential for JOIN operations. Even with fully normalized tables, users can quickly grasp how tables relate to one another, facilitating more efficient data modeling and querying.

Perform JOIN Analysis

The platform suggests JOIN keys for all scenarios, aided by tools like Venn diagrams, summary statistics, and table previews, helping users identify optimal JOIN strategies for data analysis.

Easy Manual Metadata Entry

Trocco® supports markdown for metadata input, enabling standardized, templated metadata management for comprehensive, consistent documentation, improving data governance and understanding.

Initiate Metadata Transfer

Trocco's metadata transfer capability underscores seamless data management, enabling metadata migration and synchronization across the infrastructure, ensuring data consistency and insight accessibility.

How it works

Automated data replication architecture

From source to destination, our core functionality automates the extract and load replication process for all of our connectors, so you can enjoy total pipeline peace of mind.

Data Integration/
Ingestion

Begin by swiftly connecting to any data source, enabling the collection of diverse datasets within minutes.

Data Transformation

Convert the ingested raw data into structured business data models that are ready for analysis.

Data Orchestration

Automate and optimize the entire data flow, from initial ingestion to final storage.

Still curious ?

Watch our live demo video to see the platform in action. Witness firsthand how our ETL pipelines can transform your data processes, making them more efficient and effective.

Book a Demo

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Frequently Asked Questions

01.

How to fix the error that occurs when the transfer volume from BigQuery is too large

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary When specifying BigQuery as the transfer source, an error may occur if ...

02.

How to specify elements and extract values when an array is included in the source column JSON

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary If the JSON of the transfer source column contains an array and you wan...

03.

How to generate a webhook URL in Slack

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary Learn how to issue the webhook URL required for notifications to Slack....

04.

Is it possible to increase the transfer speed?

05.

Do you support transfers from an on-premise environment?

06.

Do you support transfers from an on-premise environment?