ThoughtSpot

APRIL 22, 2025

Loved by Business Leaders, Trusted by Analysts Last year, we introduced Spotter our AI analyst that delivers agentic data experiences with enterprise-grade trust and scale. Today, were delivering several key innovations that will help you streamline insights-to-actions with agentic analytics, crossing a major milestone on our path to enabling an autonomous business.

BI 59

BI Datasets Business Intelligence Raw Data 59

Edureka

APRIL 22, 2025

Selecting the appropriate data platform becomes crucial as businesses depend more and more on data to inform their decisions. Although they take quite different approaches, Microsoft Fabric and Snowflake, two of the top players in the current data landscape, both provide strong capabilities. Understanding how these platforms compare can assist you in selecting the best option for your company, regardless of your role as a data engineer, business analyst, or decision-maker.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

WeCloudData

APRIL 22, 2025

PaaS is a fundamental cloud computing model that offers developers and organizations a robust environment for building, deploying, and managing applications efficiently. This blog provides detailed information on data Platform as a Service (PaaS),, how it differs from other cloud computing models, its working principles, and its benefits. Lets get started and explore PaaS with […] The post Platform as a Service (PaaS) appeared first on WeCloudData.

Cloud Computing 52

Cloud Computing Cloud Building Management 52

Edureka

APRIL 22, 2025

Data is more than simply numbers as we approach 2025; it serves as the foundation for business decision-making in all sectors. However, data alone is insufficient. To remain competitive in the current digital environment, businesses must effectively gather, handle, and manage it. Data engineering can help with it. It is the force behind seamless data flow, enabling everything from AI-driven automation to real-time analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

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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

APRIL 22, 2025

Looking to expand your programming toolkit? This guide aims to help Python developers quickly get going with Go.

Python 126

Python Programming 126

Cloudyard

APRIL 22, 2025

Read Time: 2 Minute, 34 Second Introduction In modern data pipelines, especially in cloud data platforms like Snowflake, data ingestion from external systems such as AWS S3 is common. However, one critical question that often arises is: How do we ensure the data we receive from the source matches the data we ingest into Snowflake tables? This is where “Snowpark Magic: Auto-Validate Your S3 to Snowflake Data Loads”comes into play a powerful approach to automate row-level validation b

Data Validation 52

Data Validation Data Ingestion Data Pipeline AWS 52

Edureka

APRIL 22, 2025

In today’s cloud-native world, applications must be agile, scalable, and loosely coupled. Enter Amazon EventBridge, a fully managed serverless event bus service that makes it easier to build event-driven applications using data from your AWS services, custom applications, or SaaS providers. In this blog, we will explore what EventBridge is, its features, how it works, and how it compares with other AWS messaging services, such as SNS and SQS.

AWS 40

AWS Architecture Media Cloud 40

Striim

APRIL 22, 2025

Real-time data has become a non-negotiable foundation for powering machine learning (ML) and generative AI (GenAI). From delivering event-driven predictions to powering live recommendations and dynamic chatbot conversations, AI/ML initiatives depend on the continuous movement, transformation, and synchronization of diverse datasets across clouds, applications, and databases.

Architecture 52

Architecture Data Architecture Building Datasets 52

Edureka

APRIL 22, 2025

Understanding the AWS Shared Responsibility Model is essential for aligning security and compliance obligations. The model delineates the division of labor between AWS and its customers in securing cloud infrastructure and applications. Under this framework, AWS guarantees the security of the cloud, encompassing physical infrastructure, networking, and virtualization layers, while customers safeguard their workloads, data, and configurations in the cloud.

Amazon Web Services 40

Amazon Web Services AWS Cloud Data Governance 40

databricks

APRIL 22, 2025

Managing high-value equipment deployed across operational sites is a common challenge for construction firms.

Utilities 87

Utilities Manufacturing Management 87

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

Edureka

APRIL 22, 2025

Salesforce Lightning is likely familiar to anyone who works with or plans to use Salesforce. Could you please explain what it is and why it is a topic of discussion? We’ll explain everything in this blog post in the most straightforward manner possible—no complicated terms, just the features, advantages, and reasons why moving to Lightning might revolutionize your company.

Designing 52

Designing Accessibility Accessible Coding 52

KDnuggets

APRIL 22, 2025

This article will explore the AI tool you can use to build personal knowledge management locally.

Building 85

Building Management 85

Confluent

APRIL 22, 2025

The efficient management of exponentially growing data is achieved with a multipronged approach based around left-shifted (early-in-the-pipeline) governance and stream processing.

Government 68

Government Data Process Management 68

KDnuggets

APRIL 22, 2025

Starting freelancing can feel overwhelming, but mastering specialized, high-paying skills can help you stand out in competitive markets and secure better opportunities.

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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems

Scott Logic

APRIL 22, 2025

Assuming one is not a vibe developer , one cannot truly call oneself a web developer without knowing how to code HTML. Meh, its not even a real language, some (backend) developers might chuckle. But even if we ignore the question of what defines a language, a good web developer should know what is considered good code and what is considered sacrilege.

Accessibility 52

Accessibility Accessible Media Coding 52

ArcGIS

APRIL 22, 2025

Learn how ArcGIS Knowledge plays a crucial role in investigating cyber and physical infrastructure threats with MITRE's Project Homeland.

Project 52

Project Government Management 52