Company recognized for innovative solutions for Big Data management and integration
MELVILLE, N.Y., May 2, 2019 – erwin, the data governance company, announced today that it has been named to CRN’s 2019 Big Data 100 list for Big Data management and integration. This annual list recognizes technology suppliers bringing to market ground-breaking offerings to effectively manage the ever-growing amounts of data generated every day.
To compile the list, the CRN editorial team identifies IT vendors at the forefront of data management, business analytics and infrastructure technologies and services. The resulting Big Data 100 list has become a trusted resource to solution providers, helping them identify the right vendors with whom to partner.
“Organizations today face a huge data dilemma: not knowing what data they have or where some of it is—plus integrating known data in various formats from numerous systems without a way to automate that process,” said David Casillo, erwin’s Senior Vice President for Global Channels and Enterprise Sales. “The impact of Big Data and the importance of how global organizations manage and govern it cannot be overstated. Together, with our partners, we help enterprises accelerate the transformation of business-critical information into accurate and actionable insights, with an automated, real-time, high-quality data pipeline.”
As the IT community continues to collect massive volumes of valuable data, managing this giant information stream continues to be a complex and delicate process. It requires expertise in data capture, storage, organization, tiering, security and analysis. Businesses are constantly struggling with the exploding volume, speed and variety of information they produce and utilize on a daily basis. Solution providers are on a never-ending mission to help them fully manage and optimize this data with innovative tools, technologies and services that can convert it into meaningful information.
The erwin Data Catalog (DC) automates enterprise metadata management, including data cataloging, data mapping, data quality, code generation and data lineage for faster time to value and greater accuracy for data movement and/or deployment projects. Harvest metadata from various data sources and map data elements from source to target, including “data in motion,” and harmonize data integration across platforms. With this accurate picture of your metadata landscape, you can accelerate digital transformation projects, including Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc., without heavy reliance on technical resources.
The 2019 Big Data 100 list is available online at www.CRN.com/BigData100.
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