KDnuggets

JULY 17, 2024

Artificial intelligence (AI) has revolutionized numerous sectors, including digital marketing. This field leverages online platforms to promote products and services.

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148

databricks

JULY 17, 2024

Unlocking True Water Risk Assessment Across Insurance, Finance, Public Safety, and Beyond Check out the solution accelerator to download the notebooks referred to.

Insurance 105

Insurance Finance 105

KDnuggets

JULY 17, 2024

Explore Python's mock library for seamless testing—replace real objects with mocks, perfect for isolating and verifying your code's behavior.

Python 139

Python Coding 139

Towards Data Science

JULY 17, 2024

New data flavors require new ways of storing them.

Data Science 53

Data Science Data Data Engineer Data Engineering 53

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

WeCloudData

JULY 17, 2024

Discover how machine learning revolutionizes real estate price prediction, overcoming biases and empowering data-driven decisions. Harness AI for accurate market analysis and secure your dream home investment. The post Real Estate Price Prediction: Harnessing Machine Learning appeared first on WeCloudData.

Machine Learning 52

Machine Learning Data Data Science 52

Edureka

JULY 17, 2024

Combining development (Dev) and IT operations (Ops) together can be perceived as a revolutionary collaborative approach. However, this collaboration demands the presence of authorised professionals who can add efficiency and finesse to any project. This is where a skillfully created DevOps team comes into play. The cross-functional deployment of carefully selected development and operations experts is necessary to make a DevOps project successful.

IT 52

IT Recruitment Project Engineering 52

Hevo

JULY 17, 2024

Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to the data architecture.

Data Ingestion 52

Data Ingestion Data Lake Data Architecture Architecture 52

DareData

JULY 17, 2024

In Geospatial Data Analysis, the primary objective is to pose the right questions, leveraging geographic principles to gain insightful answers. Analysts will visualise and decipher patterns through maps while trying to answer those questions. When exploring Geospatial questions, it is also essential to consider temporal aspects. Changes in spatial information over time can reveal a lot of relevant information.

Data Analysis 52

Data Analysis Metadata Data Project 52

Edureka

JULY 17, 2024

Table of Contents: What is an ethical issue in information technology? What are the Ethical Issues of Information Systems? Conclusion FAQs What is an ethical issue in information technology? Ethical issues in information technology represent an area of concern that addresses questions and concerns regarding the moral use or application of IT. These points emerge when innovation disrupts virtues in the community and liberty of individuals in a particular society.

Technology 40

Technology Pharmaceutical Electronics Media 40

Snowflake

JULY 17, 2024

A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner® Hype Cycle for Artificial IntelligenceI, 2023 1.

Education 81

Education Data Programming Technology 81

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Data