Remove 2022 Remove Business Intelligence Remove Data Analytics Remove Metadata
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7 enterprise data strategy trends

CIO Business Intelligence

“Unique insights derived from an organization’s data constitute a competitive advantage that’s inherent to their business and not easily copied by competitors,” she observes. Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

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The Future of the Data Lakehouse – Open

CIO Business Intelligence

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. In a first test of the technology, he used Alation to catalog a subset of Very’s data held in an old Teradata database. We’re a Power BI shop,” he says.

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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

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The Future Is Hybrid Data, Embrace It

CIO Business Intelligence

Want to manage and analyze data of all types including machine, structured, transactional, and unstructured – anywhere? Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. Common security, governance, metadata, replication, and automation enable CDP to operate as an integrated system.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) Learn more about IBM watsonx 1.

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

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