Thu.Aug 24, 2023

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The Case of the Mysterious Recursive CTE

Confessions of a Data Guy

I still remember that day. A day that shall live on in infamy in my mind. Well over a decade ago, in the days when SQL Server roamed the land devouring souls on the Altar of Stored Procedures. There was only one tool available at the time. SQL. That’s it. There was one problem that […] The post The Case of the Mysterious Recursive CTE appeared first on Confessions of a Data Guy.

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Top Posts August 14-20: How to Use ChatGPT to Convert Text into a PowerPoint Presentation

KDnuggets

How to Use ChatGPT to Convert Text into a PowerPoint Presentation • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever • Python Vector Databases and Vector Indexes: Architecting LLM Apps • 3 Ways to Access GPT-4 for Free

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16+ fascinating Big data examples

InData Labs

The world is generating an unprecedented amount of data every second. From online transactions and social media interactions to sensor readings and scientific research, the sheer volume, velocity, and variety of data have given rise to the concept of “Big data.” This vast ocean of information holds immense potential, capable of revolutionizing industries, driving innovation, Запись 16+ fascinating Big data examples впервые появилась InData Labs.

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The Best Courses for AI from Universities with YouTube Playlists

KDnuggets

Kickstart a new career or develop your current one with these YouTube playlists by trusted Universities!

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Announcing the DataOps Cookbook, Third Edition

DataKitchen

Since the first edition of the DataOps Cookbook in 2019, we have talked with thousands of companies about their struggles to deliver data-driven insight to their customers. In many ways, they all have the same problems. They have built data and analytic systems with great hope of success. Still, they are burdened with too many errors, are overwhelmed with custom requests, and know they fail to succeed in their goal of leading their organizations to be more data-driven.

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How Cloud Computing Enhances Data Science Workflows

KDnuggets

Cloud computing offers the efficiency, scalability, and security data science workflows need. Discover how it provides these benefits here.

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GPT-4: 8 Models in One; The Secret is Out

KDnuggets

GPT4 kept the model secret to avoid competition, now the secret is out!

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Data Automation Engineer: Skills, Workflow, and Business Impact

Ascend.io

In recent years, the data space has transformed significantly. Advanced tools and platforms are now taking away the cumbersome tasks of managing outdated architectures and intricate codebases. This change, often referred to as “moving up the stack,” has pushed data teams from behind-the-scenes roles to the forefront of business strategy and decision-making.

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Introducing Versioned State Store in Kafka Streams

Confluent

Learn how versioned key-value state stores, introduced to Kafka Streams in 3.5, enhance stateful processing capabilities by allowing users to store multiple record versions per key.

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Webhooks to Databricks Data Migration: 2 Easy Methods

Hevo

Webhooks are API-like tools or HTTP callbacks that deliver information across connected applications in response to specific events triggered in an application. They are extensively utilized in modern application networks for sending or receiving data in repeated patterns or cycles through Webhooks integration.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Code Llama: Meta’s state-of-the-art LLM for coding

Engineering at Meta

The post Code Llama: Meta’s state-of-the-art LLM for coding appeared first on Engineering at Meta.

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homegenius Improves Speed and Quality of Data Pipelines with Snowpark for Python

Snowflake

The homegenius family of companies is a technology group that utilizes the latest tools in AI to create smarter real estate experiences for homebuyers, real estate agents, and other real estate industry participants. The family of companies, a part of Radian Group, relies on data science and machine learning to build and deploy models using a variety of data from different sources to bring technology to all parts of the home-buyer experience. homegenius’ data scientists found themselves stuck sp