Mon.May 13, 2024

article thumbnail

Towards Sustainable Data Engineering Patterns

Towards Data Science

Engineers, scientists, and analysts have the potential to greatly reduce carbon emissions by introducing sustainable, efficient, and… Continue reading on Towards Data Science »

article thumbnail

Six Clouderans Earn CRN Women of the Channel Distinction

Cloudera

Businesses today face unique challenges, whether it’s with hybrid cloud, AI, data analytics, or all of the above. Delivering solutions that can address those challenges effectively requires a robust ecosystem of partnerships. At the center of this critical ecosystem is the partner marketing team at Cloudera, who work tirelessly in pursuit of excellence for customers—and as a result, we’re proud to share that six of our very own Clouderans have been recognized by CRN as part of this year’s Women

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What’s New for Spatial Analyst in ArcGIS Pro 3.3

ArcGIS

Spatial Analyst in ArcGIS Pro 3.3 offers new capabilities for suitability modeling, as well as density, distance, solar, and zonal analysis.

108
108
article thumbnail

All About the AI Regulatory Landscape

KDnuggets

This post explores the evolving AI regulatory landscape and essential aspects of the EU Act law, crucial for understanding its impact.

IT 114
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

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?

article thumbnail

Designing and testing for accessibility in GIS and mapping

ArcGIS

Review best practices for designing and testing for accessibility maps and apps throughout the ArcGIS system during the development process.

article thumbnail

HBase Deprecation at Pinterest

Pinterest Engineering

Alberto Ordonez Pereira | Senior Staff Software Engineer; Lianghong Xu | Senior Manager, Engineering; This blog marks the first of a three-part series describing our journey at Pinterest transition from managing multiple online storage services supported by HBase to a brand new serving architecture with a new datastore and a unified storage service.

NoSQL 86

More Trending

article thumbnail

10 Free Must-Take Data Science Courses to Get Started

KDnuggets

Want to start your data science journey? Then, let these courses guide you on that trip.

article thumbnail

Tools for Building Community Climate Resilience

ArcGIS

Discover the latest climate resilience planning tools with 18 new ready-to-use layers. Explore the Climate Resilience Index layers in ArcGIS Living Atlas.

article thumbnail

LSTMs Rise Again: Extended-LSTM Models Challenge the Transformer Superiority

KDnuggets

Can LSTMs become the de facto standard for Language Modeling tasks once again?

101
101
article thumbnail

Theming the Zalando Design System

Zalando Engineering

Why theming? As a design system evolves alongside with the brand it represents, there are often multiple occasions when a need to introduce variations arises. On the business side of things there may be use cases for part of the customer journey to have a distinct look and feel, or there may be sub-brands being part of a larger platform. The previous article on this blog gives a wider overview of the Zalando Design System.

article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

article thumbnail

The Data Integration Solution Checklist: Top 10 Considerations

Precisely

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. Successful data integration solution criteria include: offering wide-ranging support for various data sources and targets, seamless integration with existing tech stacks, easy deployment, ability to capture metadata, and capability to prescribe and monitor governance policies When evaluating vendors, ask about enterprise data sourc