亚愽视频Collibra介绍“十亿年3月”的旅程,提供可信的数据

In the wake of COVID-19, organizations are wrangling with growing volumes of data, complex data ecosystems, accelerated cloud migration and an urgent need for organization-wide collaboration. Collibra’s advancements provide customers a solution to these challenges and the benefit of a single, cloud-based platform to seamlessly leverage data resources throughout the enterprise. 

“Across our customers and community of data citizens, we consistently hear that enterprises are hungry for a one-stop solution that delivers trusted data while simultaneously enabling access and visibility to metadata across the entire organization,” said Madan Gadde, chief customer officer at Collibra. “Our latest advancements ensure teams can go to one place to get everything they need to manage, trust and access their data resources while eliminating the complexity of integrating and maintaining relationships with multiple players.”

Balancing the Performance at Scale and Usability Tradeoff

Collibra has embarked on an anticipated two year “March to a Billion” journey, with the goal of allowing enterprises to load, discover, understand and use up to a billion technical metadata records. Internal baseline tests demonstrate the ability to manage more than 250 million technical and lineage metadata records, with incremental upgrades over the course of the next 18-24 months, which Collibra anticipates will enable the ability to load, manage and govern one billion assets. 

 “‘March to a Billion’ highlights Collibra’s latest innovation, upending traditional approaches,” said Jim Cushman, chief product officer at Collibra. “Competing solutions deliver performance at scale at the expense of usability – or vice-versa. Enterprises are left with a difficult choice: technology that focuses heavily on performance at scale and can process large amounts of data but offers little in the way of value-added services, or technology that is focused on usability but has hard limits as to how much data it can manage or where that data can be handled.” 

Collibra believes that it is poised to avoid this tradeoff, enabling the enterprise’s data infrastructure to handle billions of pieces of information in production in a cloud-based environment, while ensuring the usability of that information. 

Demonstrating the Integration of Data Quality

Following its recent acquisition of predictive data quality provider OwlDQ, Collibra is integrating data quality into its Data Intelligence Cloud and leveraging its approach to solving the inefficient, error-prone, labor-intensive process of writing logic rules. 

Collibra’s continuous and autonomous data quality solution automatically generates between 60-70% of rules – eliminating human error and the costs associated with manual labor, while continuously evaluating and adjusting to the inevitable data changes.

 “With the additional capabilities of data quality and performance at scale, our Data Intelligence Cloud is providing a comprehensive suite of capabilities that are highly complementary,” said Cushman. “It’s rare that you have data quality without data governance and privacy, so why should you always have to integrate it and manage two different vendors that might not be aligned? These integrations further our ability to deliver maximum efficiency, flexibility, quality and performance to our customers.”

Learn more about the Collibra Data Intelligence Cloud. 

About Collibra

Collibra is the Data Intelligence company. We accelerate trusted business outcomes by connecting the right data, insights and algorithms to all Data Citizens. Our cloud-based platform connects IT and the business to build a data-driven culture for the digital enterprise. Global organizations choose Collibra to unlock the value of their data and turn it into a strategic, competitive asset. We have a diverse global footprint, with offices in the U.S., Belgium, Australia, Czech Republic, France, Poland and the U.K. For more information, visit collibra.com. 

亚愽视频Collibra,数据情报公司,今天宣布“十亿年3月,”倡议,旅行旨在使企业产品负载、发现、理解和使用十亿资产与Collibra数据智能云。亚愽视频产品改进的倡议是一个系列的一部分集中在大规模集群的性能和数据质量在Collibra公布亚愽视频数据公民21会议。

COVID-19后,组织争论日益增加的数据量,复杂数据的生态系统,加速云迁移和迫切需要组织范围内的合作。亚愽视频Collibra进步为客户解决这些挑战和单一的利益,基于云计算平台无缝地利用整个企业的数据资源。亚博 在线

“在我们的客户和社区公民的数据,我们一直听说企业渴望一站式解决方案,提供可信的数据,同时使访问和可见性元数据在整个组织,“马丹Gadde表示Collibra首席客户官。亚愽视频“我们的最新改进,确保团队可以去一个地方把一切他们需要管理、信任和访问他们的数据资源,同时消除集成和维护的复杂性与多个玩家的关系。”亚博 在线

平衡大规模集群的性能和可用性的权衡

亚愽视频Collibra开始了预计两年”十亿年3月,“旅程,允许进入的目的加载项,发现、理解和使用p -十亿技术元数据记录。内部基准测试管理超过2.5亿技术演示能力和血统的元数据记录,与增量升级在未来18 - 24个月,Collibra预计将使负载的能力,管理和治理十亿资产。亚愽视频

“十亿年3月,突显出Collibra最新的创新,颠覆传统方法,”吉亚愽视频姆说,Cushman Collibra首席产品官。“竞争解决方案提供大规亚愽体育app下载模集群的性能为代价的可用性,反之亦然。企业留下了一个困难的选择:在规模和技术,注重表现可以处理大量的数据,但提供的增值服务,或技术,重点是可用性,但硬限制,它可以管理或多少数据可以处理数据。”

亚愽视频Collibra相信它将避免这种权衡,使企业的数据基础设施来处理数十亿的信息的生产在基于云的环境中,同时确保该信息的可用性。

演示数据质量的集成

最近收购后的预测数据质量供应商OwlDQ Collibra集成数据质量为其数据智能云,利用其解决方法效率低下,容易出错,劳动密集型的过程编写逻辑规则。亚愽视频

亚愽视频Collibra是连续和自动数据质量解决方案自动生成规则的60 - 70%之间——消除人为错误和成本与体力劳动有关,而不断评估和适应不可避免的数据变化。

“额外功能的数据在规模、质量和性能数据智能云提供一套全面的能力,互补性强,“Cushman说。“这是罕见的,数据质量没有数据治理和隐私,为什么你总是应该整合和管理两个不同的供应商可能不一致?这些集成进一步我们提供最高效率的能力,灵活性,质量和性能给我们的客户。”

了解更多的亚愽视频Collibra数据智能云。

关于Coll亚愽视频ibra

亚愽视频Collibra是情报公司的数据。加快可信业务成果通过连接正确的数据,所有数据公民见解和算法。我们的云计算平台将IT与业务连接到数字企业构建一个数据驱动的文化。全球组织的价值选择Collibra解锁他们的数据并将其转亚愽视频化为战略性、竞争性资产。我们有一个多样化的全球足迹,在美国设有办事处、比利时、澳大利亚、捷克、法国、波兰和英国的更多信息,请访问亚愽视频collibra.com。