KDnuggets

SEPTEMBER 26, 2024

Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.

Data Science 154

Data Science Coding Machine Learning Data 154

Snowflake

SEPTEMBER 26, 2024

There’s no question which technology everyone’s talking about in retail. Generative AI continues to promote incredible levels of interest with its promise of next-level productivity and new kinds of employee and customer experience. It’s all happening at light speed. When ChatGPT burst onto the scene, it gained hundreds of millions of users in a matter of months.

Retail 98

Retail Cloud Unstructured Data Deep Learning 98

KDnuggets

SEPTEMBER 26, 2024

The launch of foundational models, popularly called Large Language Models (LLMs), created new ways of working – not just for the enterprises redefining the legacy ways of doing business, but also for the developers leveraging these models. The remarkable ability of these models to comprehend and respond in human-like language has given rise to.

Engineering 123

Engineering 123

Cloudera

SEPTEMBER 26, 2024

The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over. Cloudera recognizes the struggles that many enterprises face when setting out on this path, and that’s why we started building Accelerators for ML Projects (AMPs).

Generalist 77

Generalist Machine Learning Datasets Structured Data 77

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

KDnuggets

SEPTEMBER 26, 2024

Traditional static charts are useful, but interactive visuals offer more flexibility. They allow users to explore data, zoom in on details, and see changes over time. R has several packages that can be used to create interactive visualizations like tables, charts and maps. Getting Started To create interactive visualizations in R, you need.

Data 123

Data 123

Towards Data Science

SEPTEMBER 26, 2024

One step forward; no steps back Continue reading on Towards Data Science »

Data Engineer 74

Data Engineer Data Engineering Engineering Data Science 74

Monte Carlo

SEPTEMBER 26, 2024

Monte Carlo, the AI-first data observability platform, announced Tim Miller as the company’s first Chief Revenue Officer as it continues to bolster its leadership team. He will lead the company’s go-to-market operations worldwide, including business development, sales, and customer success. In this new role, Miller will drive Monte Carlo’s revenue strategies, operations, and growth initiatives, including the expansion of the company’s footprint across the enterprise and strategic markets.

Media 69

Media Database IT Data 69

Data Engineering Weekly

SEPTEMBER 26, 2024

Once again, I want to thank the Data Heros community. Last Friday, we discussed the challenges in bulk discovery and anonymization processes in data warehouses. The collective design choices and ideas lead to a comprehensive overview of thinking about designing data infrastructure with a privacy-first approach. Why care about privacy? Privacy and access management within data infrastructure is not just a best practice; it's a necessity.

Systems 67

Systems Engineering Data Warehouse Architecture 67

ThoughtSpot

SEPTEMBER 26, 2024

Dear ThoughtSpot Community, I couldn't be more thrilled to announce that we're welcoming our new CEO to the ThoughtSpot family: Ketan Karkhanis. This marks a significant milestone in our journey, and I wanted to share why this is such an exciting development for all of us. A Time of Rapid Growth and Unprecedented Opportunity From day one, we have been focused on our mission—to make the world more fact-driven.

Electronics 59

Electronics Unstructured Data Recruitment Portfolio 59

Confluent

SEPTEMBER 26, 2024

Atomic Tessellator uses data streaming and GenAI to revolutionize computational chemistry, enabling rapid catalyst discovery. Learn how here.

Data 59

Data 59

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

Striim

SEPTEMBER 26, 2024

In today’s fast-paced financial landscape, detecting transaction fraud is essential for protecting institutions and their customers. This article explores how to leverage Striim and SGDClassifier to create a robust fraud detection system that utilizes real-time data streaming and machine learning. Problem Transaction fraud detection is a critical responsibility for the IT teams of financial institutions.

MySQL 52

MySQL Datasets Database Retail 52

Precisely

SEPTEMBER 26, 2024

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers teams to make better use of AI tools.

Project 75

Project Government Data Governance Data Integration 75

Striim

SEPTEMBER 26, 2024

In today’s fast-paced financial landscape, detecting transaction fraud is essential for protecting institutions and their customers. This article explores how to leverage Striim and SDGClassifier to create a robust fraud detection system that utilizes real-time data streaming and machine learning. Problem Transaction fraud detection is a critical responsibility for the IT teams of financial institutions.

MySQL 52

MySQL Datasets Database Machine Learning 52