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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. ECC has recently started production of an upgraded version of their electric motor that’s only being produced in Factory 5, this data will be used as illustration of the next steps in the data lifecycle.

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Powering the future: The synergy of IBM and AWS partnership

IBM Big Data Hub

IBM and AWS has worked together to bring all of IBM data management portfolio namely Db2, Netezza and IBM watsonx.data to work on AWS in cloud native fashion with convenience of SaaS for our customers. This collaboration recognizes that data and AI are inseparable allies in driving digital transformation.

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Apache Kafka and Apache Flink: An open-source match made in heaven

IBM Big Data Hub

In the age of constant digital transformation, organizations should strategize ways to increase their pace of business to keep up with — and ideally surpass — their competition. As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making.

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What did we learn at the SAP UK “The Journey To The Top” Event?

Timo Elliott

Richard Mooney showed off some of the new possibilities, with a demo of natural language querying, powered by machine learning. Karsten Ruf , in turn, took the audience through the detailed SAP roadmap around BW4/HANA V2 and the brand-new SAP Data Warehouse cloud. ” Digital transformation applies to SAP, too!

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How Data Governance Protects Sensitive Data

erwin

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence. Request Demo.

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How Metadata Makes Data Meaningful

erwin

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. So, how can a data catalog support the critical project of building data pipelines?