- 纽约
- 2018年3月28日
According to the new Forrester report, chief data officers and analysts require context to understand their data. “Traditionally, data governance teams removed data context to make data ubiquitous across all analytic and operational needs. They manually cataloged data-at-rest in glossaries kept physically separate from the data -- The result? Data activation slowed to a crawl.”
The Forrester report states a new class of data governance and metadata management solutions — machine learning data catalogs (MLDCs) — has emerged to maintain data’s context fidelity and keep it embedded in data systems for fast, adaptive data activation. Forrester defines an MLDC as: a machine-learning-powered metadata catalog and policy processing engine that profiles, defines, and maintains semantic, logical, and physical models and traits of data within a data fabric for activation within systems of insights.
“For organizations to gain competitive advantage in today’s business world, they need to be able to easily find, understand and trust their data to derive value,” said Felix Van de Maele, Collibra co-founder and CEO. “The Collibra data governance and catalog solution helps organizations oversee enterprise-wide policies, business rules, and data assets while eliminating the pain point of data scientists and business analysts conducting time-intensive searches for data. Collibra Catalog enables data citizens to work more quickly and strategically to solve critical business challenges by automatically interpreting and optimizing the use of data from disparate sources, especially from newer technologies like IoT and AI.”
Collibra is referenced in the Forrester report as a point solution that offers high functionality within a big data fabric. Point solutions are categorized as:
- Best-of-breed for working with data and policies across various data consumption patterns.
- Robust capabilities allow data scientists and analysts to find, collaborate on, and contribute data, policies, and sources.
- Intuitive GUIs and machine learning help users search and understand data. They support upstream data aggregation, hygiene, preparation, and modeling.
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The governance and data catalog capabilities recognized by Forrester are available as part of the Collibra Data Governance Center 5.3. Forrester previously named Collibra a leader in The Forrester Wave™: Data Governance Stewardship And Discovery Providers, Q2 2017.
*Now Tech: Machine Learning Data Catalogs, Q1 2018 (by Michele Goetz) was published on March 27, 2018.
Access the full report here: https://www.forrester.com/report/Now+Tech+Machine+Learning+Data+Catalogs+Q1+2018/-/E-RES137445
About Collibra
As the leader in data governance and catalog software, Collibra helps organizations across the world gain competitive advantage by maximizing the value of their data across the enterprise. Collibra is the only solution purpose-built to address the gamut of data stewardship, governance, and management needs of the most complex, data-intensive industries. Our flexible and configurable cloud-based or on-premises solution puts people and processes first – automating data governance and management to quickly and securely deliver trusted data to the business users who need it. Learn more at www.cmnproductions.com.
Media Contact:
Colleen Irish
617-842-1511
cirish@tieronepr.com
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纽约,2018年3月28日- - - - - -亚愽视频,领导者在企业数据治理和目录软件,一直在被弗雷斯特研究公司的一份新报告,题目是“现在科技:机器学习数据目录,2018年第一季度。”报告确定了三个部分的机器学习数据目录(MLDCs)基于功能和角色关联,包括点解决方案,嵌入式数据管理平台解决方案。亚愽体育app下载
根据新的Forrester报告,首席数据官和分析师需要上下文来理解他们的数据。“传统上,数据治理团队移除数据上下文数据无处不在的所有分析和操作的需要。他们在词汇表手工编目数据保持身体分离的数据——结果呢?数据激活越来越慢。”
Forrester报告指出一个新类的数据治理和元数据管理的解决方案——机器学习数据目录(MLDCs)——出现了维护数据的上下文富达和把它嵌入到数据系统快速、自适应数据亚愽体育app下载激活。Forrester定义了一个MLDC: machine-learning-powered元数据目录和政策处理引擎配置文件,定义了,保持语义、逻辑、物理模型和特征数据在数据结构中激活系统的见解。
”组织获得竞争优势在今天的商业世界中,他们需要能够轻易找到,理解和信任他们的数据获得价值,”菲利克斯Van de Maele说Collibra联合创始人兼首席执行官。亚愽视频“Coll亚愽视频ibra目录数据治理和解决方案可以帮助组织监督企业范围的政策、业务规则、数据和数据资产,同时消除疼痛点科学家和业务分析师进行耗时搜索数据。亚愽视频Collibra目录允许数据公民工作更迅速和战略来解决关键业务挑战通过自动解释和优化使用来自不同数据源的数据,特别是物联网等新技术和人工智能。”
亚愽视频Collibra Forrester报告中引用是作为一个点的解决方案,提供高功能在一个大数据结构。点解决方案分亚愽体育app下载为:
- 最佳处理数据和政策在不同的消费模式。
- 健壮的功能允许数据科学家和分析师发现,合作,和提供数据,政策,和来源。
- 直观的gui和机器学习帮助用户搜索和理解数据。他们支持上游数据聚合,卫生,准备,和建模。
Forrester识别的治理和数据目录功能可用5.3 Collibra数据治理中心的一部分。亚愽视频Forrester以前叫Collibra Forres亚愽视频ter的领袖波™:数据治理管理和发现供应商,2017年第二季度。*现在科技:机器学习数据目录,2018年一季度(Michele Goetz)发表在3月27日,2018年。
访问这里的完整的报告:https://www.forrester.com/report/Now +科技+机+学习+数据+目录+ Q1 + 2018 / - / E-RES137445
关于Coll亚愽视频ibra
在数据治理和编目软件,Collibra世界各地帮助组织获得竞争优势通过最大化他们的数据在整个企业的价值。亚愽视频亚愽视频Collibra是唯一解决方案专用地址的数据管理、治理和管理最复杂的需求,数据密集型行业。灵活的和可配置的基于云的或本地解决方案使人们和过程——自动化数据治理和管理迅速和安全地交付可信数据业务用户需要它。学习更多在www.亚愽视频collibra.com。
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617-842-1511
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