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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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Optimizing the Energy Sector with Data Analytics

Cloudera

In addition, using data well can allow better decisions to be made, such as the possibility of bypassing the day-ahead market and going directly to the intraday market and having a better return per watt generated. . Organizations working in traditional energy generation will have to adjust costs by improving the efficiency of these plants.

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From Hive Tables to Iceberg Tables: Hassle-Free

Cloudera

However, as there are already 25 million terabytes of data stored in the Hive table format, migrating existing tables in the Hive table format into the Iceberg table format is necessary for performance and cost. In this blog, I will describe a few strategies one could undertake for various use cases.

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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?

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Powering Enterprise Revenue Growth with AI

bridgei2i

This meant a shift to virtual sales – which helped significantly improve sales effectiveness as organizations had a lower cost per visit despite an extension in reach. A McKinsey research reveals that remote engagements are successful both in selling and prospecting. This is essentially done by: Personalized omnichannel CX.

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Seven Common Challenges Fueling Data Warehouse Modernisation

Cloudera

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

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Ignoring data lifecycle management is putting your business at risk

CIO Business Intelligence

In a recent IDC Infobrief , more than half of respondents report that regulatory compliance is a primary factor in deciding how and where they store enterprise data. 1 A clear picture of where data lives and how it moves enables enterprises to consistently protect this data and its privacy.

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