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Building a Beautiful Data Lakehouse

CIO Business Intelligence

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data Lake 119
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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Set up unified data governance rules and processes.

Analytics 115
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WEBCAST: Analytics Through the Lens of Conversational AI

bridgei2i

WEBCAST: Analytics Through the Lens of Conversational AI. Business Intelligence (BI) has always been a valuable aid for decision making. But now, with the advances in AI, it is possible to make the insights from BI and analytics easier to consume, through a conversational interface. About the Webcast.

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Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

Some examples include: Customer 360 analytics, retail inventory and sales analysis, manufacturing operational analysis, eCommerce fraud prevention, network security intelligence, data warehouse consolidation and discount pricing optimization. Just starting out with analytics?

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Use AWS Glue to streamline SFTP data processing

AWS Big Data

This integration plays a pivotal role in enhancing your data analytics capabilities by offering an efficient and straightforward method to bring together disparate data sources. Sean is passionate about helping businesses harness the power of data to drive innovation and growth.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Business applications & the birth of BI. Since the dawn of business applications, the fundamental purpose of these applications has been to increase the efficiency of business processes.

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Understanding BI Tools in Today’s Market

Smarten

How Do We Define Business Intelligence Today? Business Intelligence (BI) is the lifeblood of an organization. As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs.