FirstEigen's DataBuck Partnership with Databricks Leading the Way in Data Lakehouse Integration for Enhanced Quality and Validation

Scalable

Set up 1,000 data assets in less than 40 hours

Fast

Validate 100 million records in 60 seconds

Better

Look for 14 types
of data errors

Economical

Validate 10,000 Data Assets in less than $50

Secure

No Data leaves your Data Platform

Integrable

Data Pipeline Data Governance Alert System Ticketing System

Want to ensure top data quality in your Databricks Lakehouse? Check out FirstEigen, your go-to technology partner for Databricks integration. With DataBuck AI/ML, achieve superior data observability, quality, and validation by monitoring unique trust scores.

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How Does DataBuck Integrate with Databricks Lakehouse?

FirstEigen’s quick turnaround with DataBuck ensures that you don’t have to wait months to catch faults in your data. Our on-prem solution operates seamlessly within your Databricks environment thus eliminating the need for data transfer while also minimizing security risks. Our team of experts will help you every step of the way as you go from onboarding to identifying and tracking your data issues within just 2 weeks.

Experience the future of data quality assurance with FirstEigen – where machine learning meets the unique challenges of Databricks. Secure your data’s integrity and fortify your decision-making processes with DataBuck.

Databricks Integration Solutions

FirstEigen, an official technology partner of Databricks, provides various solutions through DataBuck, including:

1. Data Trust Score to Assess Data Quality

We go beyond conventional data validation by introducing the concept of a ‘Data Trust Score.’ By observing changes in data fingerprints over time, we generate a score that reflects the trustworthiness of your data. This score empowers our clients to gain a quick and intuitive understanding of the reliability of their data, enabling better decision-making.

2. ML-Powered Anomaly Detection

Traditional methods of setting thresholds for anomaly detection can be time-consuming and prone to errors. FirstEigen leverages the power of deep learning to dynamically find the right thresholds for anomaly detection. This ensures that potential data issues are identified promptly, allowing for proactive measures to maintain data quality and enhance overall data reliability.

3. Circuit Breaking and Unity Data Catalog Integrity

FirstEigen’s data pipeline circuit breaking functionality acts as a robust safeguard against incorrect data infiltrating your downstream operations. When significant inconsistencies in data quality and matching are detected, our solution springs into action, halting the data flow and issuing timely alerts. Furthermore, by prominently showcasing Data Trust Scores (DTS) within your Unity Data Catalog, we bolster stakeholder confidence in the data they rely on, empowering them to make more informed and reliable decisions.

4. Have 1000’s of Tables Validated in Minutes

For databases encompassing thousands of tables with millions of rows, a scalable solution is crucial. DataBuck, leveraging advanced AI/ML technologies, offers rapid validation capabilities. Its sophisticated checks are tailored for extensive databases and intricate schemas, enabling it to validate entire databases swiftly – all within mere minutes. This efficiency transforms your data validation process, ensuring speed and reliability in handling vast data volumes.

Achieve High-Quality Data in Databricks with AI-Driven Data Trust Scores in Just 2 Weeks

Talk to FirstEigen Data Expert Today

Benefits of DataBuck Integration with Databricks Lakehouse

Achieve High Data Quality in Databricks With 90% Less Effort Using DataBuck's AI/ML Automation

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Why Invest in DataBuck for Your Databricks Integration?

What DataBuck Databricks Integration Users Say...

“What took my team of 10 Engineers 2 years to do, DataBuck could complete it in <8 hrs”

- VP Technology, Enterprise Data Office, Major US bank

“DataBuck’s Data Quality automation does 80% of the heavy lifting for us with just 5% of the effort.”

- CIO of US Financial Services firm

“Streamlining the DQ monitoring and validation process w/DataBuck has reduced our time-to-market. With fewer resource we auto discover DQ rules, which also self-heals as the data evolves.”

- Head of Enterprise Data Quality Monitoring, Major US bank

“DataBuck can really add a lot of headcount efficiency for us. This tool makes it easy for us to not only profile and discover the rules, but also to operationalize them and auto-heal as the data evolves over time.”

- VP, Enterprise Information Management, Information Governance Leader, Insurance Company

“AML is on the rise. We have data from 10 countries in different formats and standards that need to be validated. We could not keep up doing it manually. DataBuck has automated and streamlined our data pipeline.”

- Sr. Exec. Technology Office, Top-3 African bank

“In the last 3 years we’ve had a 100x increase of API’s and microservices on the Cloud. This proliferation is beyond what Data Stewards can manage. As Cloud-native tool designed for Data Engineers, DataBuck autonomously validates data upstream and tremendously eases the burden on Stewards.”

- Sr. VP Data Mgmt and Analytics, US Investment Bank

“Monitoring and validating files and data at ingestion directly impacts our revenues. DataBuck gives us the reliability, intelligence and speed we need to eliminate revenue-leakage.”

- VP Technology, Enterprise Data Office, Telehealth provider

“Aggregating weekly sales data from many dozens of sources and validating them is laborious and error prone. With DataBuck’s AI/ML-driven DQ automation we got more accurate data with less than 10% effort.”

- Director, Commercial Data Operations, US pharmaceutical

“With the traditional Data Quality tools, we could not thoroughly audit the financial data for the Street w/in our audit window. DataBuck’s performance has reduced data validation times from 11 hrs to 2 hrs, and w/higher accuracy.”

- Director, IT – Data Strategy, Financial Planning, Fortune-50 Hi Tech manufacturer