Flexible Data Transformations

Features

Helping you elevate your data
management experience

Unlock Insights with Data Transformation

Data transformation with TROCCO turns raw data into analysis-ready formats, enabling businesses to gain insights, understand trends, and customer behaviors for a competitive edge.

It enhances data quality and consistency, significantly improving analysis accuracy, which supports strategic decision-making, risk management, and strategy development.

Enhance Data Quality for Accurate Analysis

TROCCO’s transformation feature helps improve data quality as it addresses the inconsistencies, inaccuracies, and duplications found in raw data that can adversely affect analysis and decision-making.

Through data standardization and organization, it enhances the reliability and accuracy of analysis results, paving the way for more effective strategy development and decision-making processes.

Efficient Data Management for Business

Efficient data management is facilitated by TROCCO’s data transformation in today's digital-centric business landscape, where data comes from multiple sources and requires uniform metadata.

It simplifies refining metadata and organizing datasets, making data easier to capture, organize, and manage. This ensures seamless business operations and the successful implementation of data-driven strategies.

Add Additional Security Layers

TROCCO enhances your business data security with additional protection layers.

It safeguards against unauthorized sharing and implements team-specific usage restrictions, improving overall data privacy.

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Technical Capabilities

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

Anonymize Sensitive Data with Masking

This feature helps in anonymizing sensitive data by replacing the username component of email addresses with asterisks (*), thereby protecting user identity in datasets.

Refine Your Datasets with Selective Filtering

Filtering allows users to selectively exclude rows from datasets based on specific conditions. This is particularly useful for refining datasets and focusing on relevant data.

Enhance Data Security with SHA256 Hashing

TROCCO employs SHA256 hashing to secure data. Hashing is a method of converting data into a fixed-size string of characters, which is practically impossible to reverse, offering an additional layer of data security.

Modify Data with Regular Expression String Replacement

This feature enables the replacement of strings in a particular column based on regular expressions. It's highly versatile for pattern matching and modifying data according to complex rules.

Achieve Text Consistency through String Normalization

Using the NFKC (Normalization Form KC) method, TROCCO can convert strings to a normalized form, such as transforming full-width characters to half-width characters, which is crucial for consistency and comparability of text data.

Ensure Data Compatibility with Type Conversion

TROCCO simplifies the process of changing the data type of source data. This is essential for ensuring that data types are consistent and compatible across different systems or databases.

Simplify Nested Data with JSON Expansion

This functionality expands JSON values into multiple new columns, making it easier to work with nested JSON data by transforming it into a more accessible tabular format.

Customize Data Transformations with Programming ETL

For complex data transformations that cannot be achieved through standard features, TROCCO allows writing custom transformations using either Ruby or Python. This offers immense flexibility and power to handle intricate data processing tasks.

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

Latest resources

Additional Valuable Resources for your business

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Decoding the Differences: ETL vs. Big Data

17.9.2024

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Data Warehouse Architecture in Data Mining: What You Need to Know

8.11.2024

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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?