Thu.Nov 07, 2024

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Mastering f-strings in Python

KDnuggets

Discover how to leverage Python's f-strings (formatted string literals) to write cleaner, more efficient, and more readable code.

Python 108
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What’s New in AI/BI Dashboards - Fall ‘24

databricks

Introduction Databricks AI/BI Dashboards have made significant strides since we announced their General Availability. Built on Databricks SQL and powered by Data Intelligence.

BI 113
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5 No-Cost Learning Resources for LLM Agents

KDnuggets

Curious about LLM agents? Here’s a list of free courses, guides, and blogs that make it easy to start learning and stay updated.

IT 105
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Season's Speedings: Databricks SQL Delivers 4x Performance Boost Over Two Years

databricks

As the season of giving approaches, we at Databricks have been making our list and checking it twice--but instead of toys and treats.

SQL 97
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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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Introducing Apache Kafka® 3.9

Confluent

Apache Kafka 3.9 includes multiple KIPs covering Kafka Core, Connect, and Streams—adding dynamic KRaft quorums, better ZK migration, Tiered Storage improvements & more.

Kafka 69
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What's new with Databricks SQL, October 2024

databricks

We are excited to share the latest features and performance improvements that make Databricks SQL simpler, faster, and more affordable than ever. Databricks.

SQL 76

More Trending

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Operational and Analytical Data

Towards Data Science

What is the difference and how should we treat data in the enterprise?

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What Are Large Vision Models and How Do They Work?

phData: Data Engineering

Large Vision Models (LVMs) have transformed the field of computer vision, setting new benchmarks in image recognition, image segmentation, and object detection. Historically, convolutional neural networks (CNNs) have dominated computer vision tasks. However, with the introduction of the Transformer architecture—initially successful in Natural Language Processing (NLP)—the landscape has shifted.