Snowflake

FEBRUARY 5, 2024

Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. Its predictive capabilities can help leaders anticipate market trends and make more informed decisions, improving financial outcomes for customers as well as

Unstructured Data 102

Unstructured Data Banking Government Insurance 102

KDnuggets

FEBRUARY 5, 2024

If you are new to generative AI or an expert who wants to learn more, O’Reilly offers a range of resources to kickstart your generative AI journey.

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Rock the JVM

FEBRUARY 5, 2024

By Riccardo Cardin In this article, we delve into the concept of type classes in Kotlin, a powerful tool that allows developers to abstract logic for different data types. We’ll take data validation as an example to show how type classes can be used to write generic and reusable code. Our implementation will be based on the Arrow Kt library, which will exploit Kotlin’s context receivers.

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Portfolio Scala Data Validation Coding 78

KDnuggets

FEBRUARY 5, 2024

How and why the data lake architecture often fails to meet its promises. And how better governance helps mitigate such challenges.

Data Lake 111

Data Lake IT Government Data 111

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Towards Data Science

FEBRUARY 5, 2024

Navigating Slowly Changing Dimensions (SCD) and Data Restatement: A Comprehensive Guide Strategies for efficiently managing dimension changes and data restatement in enterprise data warehousing Imagine this, you are a data engineer working for a large retail company that utilizes the incremental load technique in data warehousing. This technique involves selectively updating or loading only the new or modified data since the last update.

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Retail Data Warehouse Data Utilities 73

KDnuggets

FEBRUARY 5, 2024

This article outlines strategies for overcoming data maturity challenges and accelerating AI adoption.

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Data Data Science 103

Precisely

FEBRUARY 5, 2024

The manufacturing processes you manage in SAP ERP systems require vast amounts of interdependent data. Material master data is one of the crucial pieces that areas throughout an organization rely on for successful operations. However, manual material data management often comes with many errors and great risks for your business. The good news? Automation can be a game-changer – solving your biggest challenges and unlocking new opportunities.

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Manufacturing Retail Government Food 59

KDnuggets

FEBRUARY 5, 2024

The number of tech layoffs since 2022 is constantly rising. Why is this happening?

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Rock the JVM

FEBRUARY 5, 2024

Discover type classes in Kotlin: a powerful pattern to organize your code for improved readability, maintainability, and flexibility

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Coding 52

Striim

FEBRUARY 5, 2024

Organizations are grappling with the increasing complexity and diversity of their data sources. Traditional approaches often fall short in addressing the challenges posed by disparate data silos, and there arises a need for a more cohesive and integrated solution. Enter Data Fabric — a paradigm that promises a unified, scalable, and agile approach to managing the intricacies of modern data.

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Pharmaceutical Data Cleanse Metadata Retail 52

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data