BITanium

Big Data Management

TIBCO | July 14, 2022

TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world’s most complex data-driven challenges. Today, TIBCO announced the release of TIBCO Cloud™ EBX®, an innovative, powerful Master Data Management (MDM) Software-as-a-Service (SaaS) solution. TIBCO Cloud EBX enables users to manage corporate data from anywhere, including master data, reference data, and metadata. As a SaaS off...

Big Data Management

Kyligence | February 16, 2022

Kyligence, originator of Apache Kylin and developer of the AI-augmented data services and management platform Kyligence Cloud, today announced the beta availability of its intelligent data cloud platform on Google Cloud. Kyligence’s one-stop, cloud-native big data OLAP solution helps data analysts and business users quickly discover the business value in the massive amounts of data in the cloud. Designed and built for today’s cloud, Kyligence Cloud allows enterprise or...

Big Data Management

Informatica | June 11, 2021

Informatica announced better integrations with its Intelligent Data Management Cloud and Snowflake, the Data Cloud Company, to further promote ELT capabilities and offer support for Snowflake’s Java User Defined Functions (UDF) to enterprise customers. Informatica has been the Snowflake Partner of the Year. It has aided several joint customers in effectively managing their data in the cloud with best-in-class analytics and data governance at scale. This announcement is a significant milest...

eos.org | April 07, 2020

Both weather and climate models have improved drastically in recent years, as advances in one field have tended to benefit the other. But there is still significant uncertainty in model outputs that are not quantified accurately. That’s because the processes that drive climate and weather are chaotic, complex, and interconnected in ways that researchers have yet to describe in the complex equations that power numerical models.Historically, researchers have used approximations called parame...