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Optimization Strategies for Iceberg Tables

Cloudera

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. You can take advantage of a combination of the strategies provided and adapt them to your particular use cases.

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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. Ready to evolve your analytics strategy or improve your data quality?

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From Hive Tables to Iceberg Tables: Hassle-Free

Cloudera

Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration. In this blog, I will describe a few strategies one could undertake for various use cases. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

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Powering Enterprise Revenue Growth with AI

bridgei2i

At BRIDGEi2i, we conducted a webinar with esteemed guest – Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere. A McKinsey research reveals that remote engagements are successful both in selling and prospecting. Contextual product recommendations.

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Four areas retailers must analyze to stay ahead of the competition

Birst BI

10, 2019, webinar with Matt Simonsen and Doug Tiffan on “Four areas retailers must analyze to stay ahead of the competition.” As a result, departments pull their own data independently and create their own version of performance. In your upcoming webinar Sept. Watch Birst Retail Analytics video. Attend Sept. Register now.

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How Fifth Third Bank Implements a Data Mesh with Alation and Snowflake

Alation

Every organization wants to better serve its customers, and that goal is often achieved through data. For Lavorini, the foundation for decentralizing data was “taking the human piece of it and marrying it up with the tech goals.” “It’s This is the foundation of our data mesh strategy.”

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What is BI Intelligence?

Octopai

At its core, business intelligence is the practice of implementing strategies and tools to create a complete analysis of the data managed by a company. By unifying different data streams on one platform, a better interpretation of that information is possible. Watch the webinar! How Can Smarter BI Impact Your Company?