Syncsort, a global leader in data liberation, integrity and integration solutions for next-generation analytics, announced Trillium Quality for Big Data. The new offering integrates its industry-leading Trillium data quality capabilities with the innovative Intelligent Execution (IX) technology from its DMX-h Big Data integration solution, delivering an agile, efficient and powerful solution that continuously improves the quality of massive data sets stored and processed in data lakes.
The new product enables enterprises to create a single, accurate and enriched 360-degree view of critical enterprise-wide data in Hadoop clusters running either MapReduce or Spark. Users can consistently enhance the quality of that information in the data lake in both Big Data compute frameworks, on premise or in the cloud, elevating trust in data to a gold standard and maximizing its value in driving competitive advantage.
“We are seeing the shift from data as an enabler to being a core part of business strategy across our more than 6,000 customers worldwide. As organizations progress their modern data architecture and data lake initiatives, data governance and data quality have become more critical than ever,” said Tendü Yoğurtçu, Chief Technology Officer, Syncsort. “We have taken our unique ‘design once and deploy anywhere’ architecture and combined it with our industry-leading data quality capabilities to deliver enterprise-grade data quality in the data lake. Trillium Quality for Big Data enables our customers to gain trusted insights from their most critical data assets, with a faster time-to-value and the flexibility to deploy across multiple compute frameworks, on premise or in the cloud.”
Key benefits of Trillium Quality for Big Data include:
Superior Data Matching: Leverages best-in-class matching algorithms to achieve an optimal single view of the customer and other enterprise data.
Powerful Data Enrichment: Works with worldwide country templates, postal directories and geocoding.
Flexibility in Data Lake Deployment: Uses Intelligent Execution to support both new or existing Trillium data quality projects across Hadoop MapReduce and Spark, on premise or in the cloud.
Ease of Use: Enables local development and testing of data quality projects through a graphical user interface.
Support for Leading Hadoop Providers: Available on all Hadoop distributions including Cloudera CDH, Hortonworks HDP and MapR, and deploys and installs via both Cloudera Manager and Apache Ambari.
“To maximize the value of data lakes, organizations need the ability to ensure the data they have brought in from across the enterprise has the highest possible level of integrity, accuracy and completeness,” said Keith Kohl, Vice President, Product Management at Syncsort. “Trillium Quality for Big Data enables enterprises to apply the most robust data quality capabilities, including cleansing, standardization, matching, validation and enrichment with MapReduce, Spark or both. The result is the most dependable data for critical business initiatives like MDM, and business analytics with leading next-generation analytics tools.”
To learn more about Trillium Quality for Big Data, visit booth #715 at Strata in NYC, from September 26-28, 2017.