Edureka

MAY 27, 2025

In today’s data-driven world, the role of an AWS Data Engineer is more important than ever! Organizations are on the lookout for talented professionals who can design, build, and maintain strong data pipelines and infrastructure on the Amazon Web Services (AWS) platform. If you’re eager to kickstart your career in AWS data engineering or ready to take it to the next level, mastering the interview process is essential.

AWS 40

AWS Data Engineer Data Engineering Engineering 40

Lyft Engineering

MAY 28, 2025

Part I: Micro patterns in trafficchaos Have you ever driven alongside another vehicle for an extended period? Youve likely experienced this peculiar phenomenon: despite sharing the same route and traffic signals, you inevitably encounter a red light while the other vehicle passes through seconds earlier. For a moment, you might think theyll reach their destination first.

Transportation 40

Transportation Data Science Engineering Building 40

KDnuggets

MAY 27, 2025

You dont need to be a Python pro to write fast, clean code. Just a few smart coding habits can go a long way.

Coding 126

Coding Python 126

RandomTrees

MAY 27, 2025

Introduction In today’s digitally linked world, intuition is no longer sufficient to drive B2B marketing. Data analytics has developed as a critical component of effective marketing strategies, allowing companies to make educated decisions that improve performance and create quantifiable results. With vast amounts of client data available across digital channels, organizations that use data analytics may acquire a significant competitive edge.

Data Analytics 52

Data Analytics Media Education Data 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

databricks

MAY 27, 2025

Until now, sharing data between enterprise systems often meant complex pipelines, duplication, and lock-in. With Oracles support for Delta Sharing, thats no longer the case.

BI 78

BI Database Systems Data 78

Waitingforcode

MAY 29, 2025

When I was learning about watermarks in Apache Flink, I saw they were taking the smallest event times instead of the biggest ones in Apache Spark Structured Streaming. From that I was puzzled. How is it possible the pipeline doesn't go back to the past? The answer came when I reread the Streaming Systems book. There was one keyword I had missed that clarified everything.

Systems 130

Systems IT 130

Precisely

MAY 27, 2025

In a rapidly evolving financial landscape, one thing is clear: banks that prioritize agility and data-driven customer-centricity are not just staying afloattheyre thriving. During the recent American Banker webinar, Smart Banking in 2025: Intelligent Technologies Defining CX and Operations, I had the pleasure of speaking alongside Sarah Howell about the big shifts seen in bankingparticularly around digital transformation, compliance, and customer experience (CX).

Banking 52

Banking Technology Finance Accessible 52

Edureka

MAY 27, 2025

Microsoft Fabric is a next-generation data platform that combines business intelligence, data warehousing, real-time analytics, and data engineering into a single integrated SaaS framework. Microsoft Fabric, which is based on the principles of governance, scalability, and simplicity, enables companies to handle their whole analytics lifecycle in one location.

Architecture 52

Architecture BI Data Lake Business Intelligence 52

ArcGIS

MAY 27, 2025

Learn how to analyze the relationships between your network features and structures using ArcGIS Utility Network.

Utilities 62

Utilities Data Management Management Data 62

databricks

MAY 28, 2025

Apache Spark 4.0 marks a major milestone in the evolution of the Spark analytics engine.

SQL 136

SQL Engineering 136

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 Workflow

KDnuggets

MAY 27, 2025

Develop a data system that every business user wants to use.

Data 98

Data Systems 98

Data Engineering Weekly

MAY 25, 2025

Dagster Components is now here Components provides a modular architecture that enables data practitioners to self-serve while maintaining engineering quality. Built for the AI era, Components offers compartmentalized code units with proper guardrails that prevent "AI slop" while supporting code generation. See how it works in 4 easy steps Onehouse: ClickHouse vs StarRocks vs Presto vs Trino vs Apache Spark™ — Comparing Analytics Engines As we adopt the Lakehouse architecture more and

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

ArcGIS

MAY 27, 2025

In ArcGIS Pro 3.5, you can choose between three options to overwrite existing tool data, including appending and replacing data.

Data 97

Data 97

Teradata

MAY 30, 2025

Skip to main content Support Global Global Deutschland France 日本 대한민국 Why Teradata Our platform Getting started Insights About us search Try for free Contact us search Join us at Possible 2025. Register now Join us at Possible 2025. Register now Home Insights Data platform Article How To Use Airbyte, dbt-teradata, Dagster, and Teradata Vantage™ for Seamless Data Integration Build and orchestrate a data pipeline in Teradata Vantage using Airbyte, D

Data Integration 52

Data Integration Raw Data Metadata Data Pipeline 52

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

KDnuggets

MAY 27, 2025

These ten compact and pythonic shortcuts will boost your time data analysis and processing workflows. See how and why.

Python 85

Python Data Analysis Process Data 85

databricks

MAY 27, 2025

In a sign of how quickly enterprises are moving to embrace AI, 70% have moved past the pilot stage and are preparing to release new

Data 63

Data 63

Precisely

MAY 27, 2025

In a rapidly evolving financial landscape, one thing is clear: banks that prioritize agility and data-driven customer-centricity are not just staying afloattheyre thriving. During the recent American Banker webinar, Smart Banking in 2025: Intelligent Technologies Defining CX and Operations, I had the pleasure of speaking alongside Sarah Howell about the big shifts seen in bankingparticularly around digital transformation, compliance, and customer experience (CX).

Banking 59

Banking Technology Finance Accessible 59

Teradata

MAY 30, 2025

Skip to main content Support Global Global Deutschland France 日本 대한민국 Why Teradata Our platform Getting started Insights About us search Try for free Contact us search Join us at Possible 2025. Register now Join us at Possible 2025. Register now Home Insights Artificial Intelligence Article Build a Data Mesh Architecture Using Teradata VantageCloud on AWS Explore how to build a data mesh architecture using Teradata VantageCloud Lake as the core data plat

AWS 52

AWS Architecture Building Amazon Web Services 52

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

Manufacturing

KDnuggets

MAY 28, 2025

Explore list of top MCP servers that enable seamless integration of LLMs with tools like databases, APIs, communication platforms, and more, helping you automate workflows and enhance AI applications.

Database 116

Database 116

databricks

MAY 29, 2025

Introduction Marketing teams frequently encounter challenges in accessing their data, often depending on technical teams to translate that data into actionable insights.

BI 63

BI Accessible Accessibility Data 63

Edureka

MAY 27, 2025

Imagine entering a control room with complete control over your data ecosystem. You won’t have to deal with siloed systems, jump between tools, or write endless lines of code to make data useful. That’s how Microsoft Fabric works. With its ability to seamlessly integrate data engineering, analytics, and business intelligence, Microsoft Fabric stands out as the all-in-one superhero in a world where data is abundant but insights are scarce.

BI 52

BI Data Pipeline Business Intelligence Data Engineer 52

Confluent

MAY 29, 2025

Learn how to easily extract the data you need from Apache Kafka by generating Apache Flink SQL commands with natural language prompts or questions in this step-by-step demo.

Kafka 49

Kafka SQL Data 49

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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

Data Engineer

KDnuggets

MAY 26, 2025

Want to be a data scientist in 2025? These 10 YouTube channels teach important skills, from Python basics to advanced machine learning.

Machine Learning 127

Machine Learning Python Data 127

databricks

MAY 27, 2025

Dimensional modeling is a time-tested approach to building analytics-ready data warehouses.

Data Warehouse 59

Data Warehouse SQL Data Building 59

Edureka

MAY 27, 2025

Docker completely changed the development, packaging, and deployment of applications. Docker provides consistent environments from development to production by isolating applications in containers. The Dockerfile is the foundation of this ecosystem since it serves as a guide for creating Docker images. This blog covers everything from the fundamentals to more complex subjects like comparisons, troubleshooting, and best practices.

Cloud 40

Cloud Certification Building Coding 40

ArcGIS

MAY 27, 2025

Discusses the enhancements introduced in ArcGIS Pro 3.5 to assist system administrators in optimizing performance settings.

Systems 101

Systems 101

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

KDnuggets

MAY 28, 2025

If your functions need comments to be understood, its probably time for a rewrite. Learn the key habits that make Python functions readable by design.

Python 91

Python Designing IT 91

databricks

MAY 30, 2025

Salesforce Data Cloud File Sharing into Databricks Unity Catalog is now in public preview.

Cloud 98

Cloud Data 98

Snowflake

MAY 27, 2025

At Snowflake, our mission is to empower every enterprise to achieve its full potential through data and AI. We actively support innovative companies within our ecosystem that demonstrate clear value for our customers, which is why we're excited to invest in Honeydew , a former Snowflake Startup Challenge finalist. Honeydews Semantic Layer revolutionizes the way data teams collaborate on business intelligence and deliver impactful data-driven insights.

Business Intelligence 98

Business Intelligence BI Government Metadata 98

Edureka

MAY 27, 2025

In the world of data analytics, Microsoft Fabric and Tableau stand out as powerful tools, but they have very different strengths. While Microsoft Fabric offers an all-in-one data platform for enterprises deeply integrated with Azure, Tableau focuses on intuitive, high-quality data visualization for users at all levels. This guide compares their features, architecture, pricing, and use cases to help you decide which is the best fit for your data strategy.

BI 40

BI Data Lake Business Intelligence Raw Data 40

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Software Engineer