Mon.Jul 29, 2024

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Introducing Apache Kafka® 3.8

Confluent

Apache Kafka 3.8 adds 17 new KIPs (13 for Core, 3 for Streams & 1 for Connect). Highlights include 2 new Docker images, the ability to set task assignors, and more!

Kafka 131
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Building Data Science Pipelines Using Pandas

KDnuggets

Learn to build the end-to-end data science pipelines from data ingestion to data visualization using Pandas pipe method.

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Generative AI for Capital Markets

databricks

Financial Valuations & Comparative Analysis Financial institutions specialized in capital markets such as hedge funds, market makers and pension funds have long been.

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How to Perform Memory-Efficient Operations on Large Datasets with Pandas

KDnuggets

Let's learn how to perform memory-efficient operations in pandas with large dataset.

Datasets 108
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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?

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Beyond Web Mercator: Projected Basemaps Revisited

ArcGIS

More small-scale projected basemaps to add to the set I built in 2023

Project 103
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Flink AI: Real-Time ML and GenAI Enrichment of Streaming Data with Flink SQL on Confluent Cloud

Confluent

Learn how to use Flink SQL on Confluent Cloud to invoke ML and GenAI endpoints to enrich streaming data

SQL 83

More Trending

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Enhance IT Visibility: Integrate IBM i and IBM Z Data into ServiceNow

Precisely

Key Takeaways Machine data created by your IBM Z and IBM i is critical for flagging anomalies that may exist in your business and meeting regulatory compliance requirements Automated discovery and integration tools, like a CMDB, streamline processes, reduce risks, and enhance decision-making. Precisely Ironstream ensures real-time updates and a holistic approach to IT service management, optimizing your operations by integrating IBM Z and IBM i machine data into ServiceNow.

IT 52
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Beyond the Data Complexity: Building Agile, Reusable Data Architectures

The Modern Data Company

There’s no denying the importance of data in today’s business world. Done right, it is the backbone of organizational success, driving innovation, unlocking new revenue models, and delivering a competitive edge. However, data leaders worldwide are grappling with a challenging question: “Why aren’t our data initiatives delivering the expected ROI?

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5 Top Machine Learning Courses You Can Take in 2024

KDnuggets

Forget about going to university and become a machine learning professional with these 5 top certifications.

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Balancing AI Power with Human Insight: A Humorous Dive into Text Analytics

Elder Research

The post Balancing AI Power with Human Insight: A Humorous Dive into Text Analytics appeared first on Elder Research.

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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.

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Maximize savings on your unused Fabric Capacity

Towards Data Science

Automate your Fabric capacity state with Azure Logic Apps Continue reading on Towards Data Science »

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What Makes Data-in-Motion Architectures a Must-Have for the Modern Enterprise

Cloudera

Cloudera’s data-in-motion architecture is a comprehensive set of scalable, modular, re-composable capabilities that help organizations deliver smart automation and real-time data products with maximum efficiency while remaining agile to meet changing business needs. In this blog, we will examine the “why” behind streaming data and review some high-level guidelines for how organizations should build their data-in-motion architecture of the future.