Mon.Jun 03, 2024

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Is Python OOP the Devil? Or Savior?

Confessions of a Data Guy

Nothing will raise the hackles on the backs of hairy and pale programmers who’ve been stuck in their mom’s basement for a decade like bringing up OOP (Object Oriented Programming), especially in the context of Python. It’s like two fattened calves prepared for slaughter, sharpen your knives, and take your place, it’s time to feast […] The post Is Python OOP the Devil?

Python 130
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Databricks + Tabular

databricks

We are excited to announce that we have agreed to acquire Tabular, Inc, a data management company founded by Ryan Blue, Daniel Weeks.

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Introducing Polaris Catalog: An Open Source Catalog for Apache Iceberg

Snowflake

Open source file and table formats have garnered much interest in the data industry because of their potential for interoperability — unlocking the ability for many technologies to safely operate over a single copy of data. Greater interoperability not only reduces the complexity and costs associated with using many tools and processing engines in parallel, but it would also reduce potential risks associated with vendor lock-in.

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AI-Enhanced User Experiences in ArcGIS Pro 3.3

ArcGIS

Learn about the new AI-enhanced user experiences for geoprocessing in ArcGIS Pro 3.3, including semantic search and tool suggestions.

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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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Future of Data Scientists: Career Outlook

Knowledge Hut

Data Science is the fastest emerging field in the world. It analyzes data extraction, preparation, visualization, and maintenance. Data scientists use machine learning and algorithms to bring forth probable future occurrences. Organizations analyze themselves to grow. Data Science in the future will be the largest field of study. What is Data Science?

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Cloudera Introduces AI Inference Service With NVIDIA NIM

Cloudera

We are excited to announce a tech preview of Cloudera AI Inference service powered by the full-stack NVIDIA accelerated computing platform, which includes NVIDIA NIM inference microservices , part of the NVIDIA AI Enterprise software platform for generative AI. Cloudera’s AI Inference service uniquely streamlines the deployment and management of large-scale AI models, delivering high performance and efficiency while maintaining strict privacy and security standards.

Cloud 79

More Trending

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How To Create Custom Context Managers in Python

KDnuggets

Context managers in Python help you manage resources efficiently. Learn how to write your own custom context managers.

Python 104
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Data + AI Strategy: Platform Focus

databricks

The secret to good AI is great data. As AI adoption soars, the data platform is the most important component of any enterprise's.

Data 92
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Introducing Multiple Snowflake Configurations per ThoughtSpot Connection

ThoughtSpot

Organizations leveraging cloud data warehouses like Snowflake require the ability to efficiently manage and optimize their data connections. Without this, data teams will face challenges with various use cases, such as workload distribution and environment testing. Recognizing the need for greater flexibility and control over data connections, ThoughtSpot developed a powerful new feature: Multiple Configurations per Connection.

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Beyond the Hype: Can we do better than 'carbon aware' computing? by Colin Eberhardt

Scott Logic

In this episode, Oliver Cronk and David Rees from Scott Logic are joined by Hannah Smith, Director of Operations at Green Web Foundation, an organisation aiming to make the internet fossil-free by 2030. Together, they explore the potential benefits and limitations of ‘carbon aware’ computing, which involves scheduling computational workloads during times or in locations where energy sources have lower carbon emissions.

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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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5 Ways to Access GPT-4o for Free

KDnuggets

Experience GPT-4o, the ultimate multimodal AI for all your work-related tasks.

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Analyzing Table Usage in Stored Procedures

Cloudyard

Read Time: 1 Minute, 27 Second Analyzing Table Usage in Stored Procedures: Imagine you’re a DBA responsible for a large Snowflake warehouse containing critical business data. This warehouse also houses numerous stored procedures used for various data manipulation tasks. As part of your data governance responsibilities, you’re tasked with evaluating current data retention practices.

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DBRX at Data + AI Summit: Best Practices, Use Cases, and Behind-the-scenes

databricks

Businesses are making remarkable progress on their data and AI journeys. They’re advancing from a few pilot projects confined to use cases likely.

Data 52
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Prompt Engineer: Skills, Learning Roadmap, and Salary

KDnuggets

Learn about the growing demand for prompt engineers in the year 2024.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.