databricks

SEPTEMBER 25, 2024

We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform.

Data 135

Data Data Science 135

KDnuggets

SEPTEMBER 25, 2024

Sponsored Content Once again the conference brings together researchers, professionals, and educators to present and discuss advances in Data and AI across various applications within industry. The Feature Store Summit aims to combine advances in technology and new use cases for managing data for AI. Hosted by Hopsworks, this free online conference.

Education 130

Education Data Technology Management 130

ArcGIS

SEPTEMBER 25, 2024

To publish different views of the same source data, alter map layer settings before you publish each web feature layer.

Data 109

Data Data Management Management 109

KDnuggets

SEPTEMBER 25, 2024

Disease risk prediction is a cornerstone of preventative healthcare. It is used to provide guidelines for clinicians to follow to identify their most at-risk patients and provide guidance to reduce risk. Effective predictions allow for early intervention, personalized treatments, and improved outcomes. However, traditional models often struggle to account for the complexities of human health.

Healthcare 24

Healthcare Machine Learning IT 24

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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

Hevo

SEPTEMBER 25, 2024

Databricks is a popular and powerful unified analytics platform. It helps organizations streamline their data engineering, machine learning, and analytics tasks. As data grows and organizations understand the importance of data-driven decision-making, it becomes important to analyze and optimize the costs of data platforms being used carefully.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

KDnuggets

SEPTEMBER 25, 2024

This tutorial introduces the basics of SQL querying with Google BigQuery. While very similar, BigQuery SQL has some syntax differences with standard SQL, some of which will be highlighted along the post. For those familiar with SQL, adapting to BigQuery should be pretty straightforward. Throughout examples, we will explore basic SELECT-FROM-WHERE queries and discover how.

SQL 121

SQL 121

KDnuggets

SEPTEMBER 25, 2024

Customer segmentation groups customers by their traits. This helps businesses know what different customers want and need. Using R, companies can easily segment their customers. This article will explain how to do customer segmentation with R. Introduction to Customer Segmentation Customer segmentation means splitting customers into different groups.

118

118

Monte Carlo

SEPTEMBER 25, 2024

A data lake is essentially a vast digital dumping ground where companies toss all their raw data, structured or not. A modern data stack can be built on top of this data storage and processing layer, or a data lakehouse or data warehouse, to store data and process it before it is later transformed and sent off for analysis. An example of a data pipeline structure.

Data Lake 52

Data Lake Food Google Cloud AWS 52

KDnuggets

SEPTEMBER 25, 2024

We are now on the 3rd edition of free courses that are actually free. We have covered AI and ML as well as Computer Science. We are now moving on to programming. Programming is very similar to computer science, therefore you might see very similar courses. We already know that Python is one of the.

Programming 94

Programming Computer Science Python 94

Hevo

SEPTEMBER 25, 2024

The importance of data quality within an organization cannot be overemphasized as it is a critical aspect of running and maintaining an efficient data warehouse. It tells us how well a dataset meets certain criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness and fitness for purpose.

Data Warehouse 40

Data Warehouse High Quality Data Datasets Data 40

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