RudderStack

JUNE 17, 2025

Choose the best data warehouse tools for your goals. Support analytics and performance at scale.

Data Warehouse 40

Data Warehouse Data 40

Simon Späti

JUNE 17, 2025

Moving from orchestration theory to the enterprise level is a real challenge. How do you handle secrets across environments? Where does your business logic actually live? How do you make pipelines that work for both your senior engineers and the analysts who need to modify them? In Part 1, The Heartbeat of Data Engineering , we discussed the convergent orchestrator combining orchestration as code and no-code.

Data Pipeline 189

Data Pipeline Data Coding Data Engineer 189

InData Labs

JUNE 17, 2025

In the modern world, where Big data is essential in nearly every field, data evaluation has become a crucial factor in understanding and following Big data trends. The examples of Big data lead us to conclude that it will continue to be an indispensable component for success, giving businesses Big data opportunities. According to the. Запись Top Big data trends in 2025 впервые появилась InData Labs.

Big Data 85

Big Data Data BI IT 85

DataKitchen

JUNE 18, 2025

When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares As data engineers, we’ve all been there. A dashboard shows anomalous metrics, a machine learning model starts producing bizarre predictions, or stakeholders complain about inconsistent reports. We dive deep into data validation, check our transformations, and examine our schemas, only to discover the real culprit was something far more subtle: timing.

Architecture 107

Architecture Machine Learning Data Architecture Finance 107

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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

JUNE 18, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter The 7 Most Useful Jupyter Notebook Extensions for Data Scientists In this article, we will explore seven different Jupyter Notebook extensions that will improve your work.

Media 99

Media Data Science Machine Learning Python 99

DataKitchen

JUNE 18, 2025

In this exciting webinar , Christopher Bergh discussed various types of data quality dashboards, emphasizing that effective dashboards make data health visible and drive targeted improvements by relying on concrete, actionable tests. He highlighted the importance of selecting dashboard types based on the data landscape and stakeholder needs, advocating for an iterative approach and showcasing their open-source software.

Data 40

Data Building Systems IT 40

Precisely

JUNE 18, 2025

At Precisely, innovation, leadership, and impact are more than just ideals – they’re part of our DNA. One of the most meaningful ways we celebrate these values across our organization is through our Technical Recognition Program. What is the Technical Recognition Program? The Technical Recognition Program was established to honor and reward employees whose technical contributions go above and beyond expectations.

IT 59

IT Engineering Portfolio Professional Services 59

KDnuggets

JUNE 16, 2025

Learn how to migrate from Pandas to Polars with practical examples, side-by-side code comparisons, and strategies to unlock performance improvements on your existing data workflows.

Data Workflow 97

Data Workflow Coding Data 97

Picnic Engineering

JUNE 16, 2025

Picnic 10 years: 2020 — Sudo pick me a sandwich In this edition of the blog series about 10 years of Picnic, we take you back to December 2020, we’re in the middle of the sixth year of Picnic. The “FCA” project is in full swing, and with the holidays around the corner, announcing the start of the year in which it all has to come together, things are feeling a bit tense.

Consulting 52

Consulting Architecture Transportation Designing 52

Simon Späti

JUNE 16, 2025

Wouldn’t it be great to build a data warehouse on top of affordable storage and scattered files? SSDs and fast storage are expensive, but storing data in a data lake on S3 or R2 is significantly cheaper, allowing you to save a greater amount of essential data. However, the downside is that it quickly becomes messy or unorganized, lacking clear governance and rules.

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Data Lake Data Warehouse Government SQL 130

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

Analytics Vidhya

JUNE 18, 2025

Imagine looking for a flight on a travel website and waiting for 10 seconds as the results load up. Feels like an eternity, right? Modern travel search platforms must return results almost instantly, even under heavy load. Yet, not long ago, our travel search engine’s API had a p95 latency hovering around 10 seconds. This […] The post From 10s to 2s: Complete p95 Latency Reduction Roadmap Using Cloud Run and Redis appeared first on Analytics Vidhya.

Cloud 103

Cloud Cloud Computing Big Data Data Engineering 103

KDnuggets

JUNE 17, 2025

BigQuery's ObjectRef unifies structured and unstructured data, enabling multimodal analytics via SQL and Python.

Data Analytics 132

Data Analytics Unstructured Data SQL Python 132

databricks

JUNE 18, 2025

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions

Management 82

Management Entertainment Manufacturing Consulting 82

Snowflake

JUNE 18, 2025

Welcome to Snowflake’s Startup Spotlight, where we ask startup founders about the problems they’re solving, the apps they’re building and the lessons they’ve learned during their startup journey. In this edition, meet Timo Hagenow, Co-Founder and CEO of Superduper, and read how its agent orchestration platform integrates AI models with existing data infrastructure to drive horizontal enterprise AI adoption.

Data Security 87

Data Security Building Technology Database 87

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

Precisely

JUNE 19, 2025

There’s a special kind of energy that comes from bringing data leaders together with a shared goal: unlocking more value from their data. At Trust ’25, our virtual Data Integrity Summit, that energy was palpable. Data and analytics professionals from around the world joined us to explore what’s next for trusted data – and how to achieve it. This year, we focused on one powerful idea: when you show your data some love , it returns the favor – with sharper insights, stronger performance, and more

Banking 72

Banking Data Integration Data Governance Government 72

KDnuggets

JUNE 19, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding? Need both performance and flexibility in your data workflows?

Data Workflow 113

Data Workflow Python Data Ingestion Machine Learning 113

ArcGIS

JUNE 16, 2025

Unlock the Power of Spatial Cloud Analytics. Esri and Snowflake bring together the best of GIS and cloud data warehousing. Analyze massive geospatial datasets natively in the cloud, scale your spatial insights, and power smarter decisions—without moving your data. Discover how this partnership is transforming GeoAI, wildfire risk, and beyond.

Datasets 75

Datasets Cloud Data Telecommunication 75

Snowflake

JUNE 17, 2025

Welcome to Snowflake’s Startup Spotlight, where we ask startup founders about the problems they’re solving, the apps they’re building and the lessons they’ve learned during their startup journey. In this edition, meet Reza Farahani, Co-Founder and CEO of Katalyze AI , and see how Katalyze AI transforms unstructured biomanufacturing documentation into searchable, structured data to optimize pharmaceutical production and accelerate time to market.

Pharmaceutical 79

Pharmaceutical Manufacturing Consulting Data Science 79

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

databricks

JUNE 18, 2025

At Ibotta, our mission is to Make Every Purchase Rewarding.

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87

KDnuggets

JUNE 17, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter NotebookLM + Deep Research: The Ultimate Learning Hack Let’s unlock smarter, faster learning by combining NotebookLM with deep research strategies.

Machine Learning 110

Machine Learning Data Science Computer Science Portfolio 110

Scott Logic

JUNE 19, 2025

Markitecture or Reality? Separating Substance from Hype In an industry notorious for rebranding existing technologies with shiny new names, the “Data Lakehouse” faces immediate skepticism. Is this another case of markitecture—marketing masquerading as architecture—or does it represent genuine technical progress? The answer, like many things in data engineering, is nuanced.

Data Lake 59

Data Lake Pipeline-centric Raw Data Architecture 59

Snowflake

JUNE 17, 2025

A successful AI strategy requires a solid data foundation, yet a striking number of data and AI leaders are feeling unprepared. According to a survey of executives, a quarter described their data foundations as “somewhat unready” to “very unready” to support generative AI applications, and more than half admit they are only “somewhat ready.” Compounding this challenge, enterprises are grappling with petabytes of data trapped on legacy storage devices.

Unstructured Data 66

Unstructured Data Data Lake Data Systems 66

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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

Booking.com Engineering

JUNE 18, 2025

Unlocking the Power of Customization: How Our Enrichment System Transforms Recommendation Data Enrichments How are accurate property prices on Booking.com connected to machine learning that recommends appealing property photos? What about the number of users who have wishlisted a property? And how can developers assess if their recommendation models effectively boost traveler clicks?

Systems 62

Systems Machine Learning Data Designing 62

KDnuggets

JUNE 20, 2025

Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.

Machine Learning 98

Machine Learning Process 98

ThoughtSpot

JUNE 16, 2025

Business intelligence platforms analyze vast amounts of data, requiring visualization engines that balance performance, flexibility, and ease of use. Traditional charting libraries treat each chart type as a distinct entity, requiring separate logic and code for each. This approach leads to code duplication, limited reusability, and reduced maintainability.

Engineering 59

Engineering Datasets Architecture Data Ingestion 59

DataKitchen

JUNE 20, 2025

The Data Quality Revolution Starts with One Person (Yes, That’s You!) Picture this: You’re sitting in yet another meeting where someone asks, “Can we trust this data?” and the room falls silent. Sound familiar? If you’re nodding along, congratulations—you’ve just identified yourself as the perfect candidate to become your organization’s data quality champion.

Datasets 56

Datasets Recruitment Data Finance 56

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

Monte Carlo

JUNE 19, 2025

Organizations generate massive amounts of data every day, yet most struggle to extract meaningful insights from their information assets. Despite investing billions in analytics platforms and hiring teams of data scientists, companies report a frustrating reality: critical business decisions still rely on gut instinct rather than evidence. The technology exists, but the practices needed to transform raw data into competitive advantage remain poorly understood.

Data Management 52

Data Management Management Metadata Manufacturing 52

KDnuggets

JUNE 18, 2025

Apache Cassandra is a distributed NoSQL database for managing massive data with high availability. This guide covers its installation on Linux, Windows, and macOS.

NoSQL 89

NoSQL Database Management IT 89

ArcGIS

JUNE 16, 2025

Esri and Snowflake Series: Protecting Lives & Infrastructure from Wildfires using Telco Data.

Data 75

Data Telecommunication 75

Data Engineering Weekly

JUNE 15, 2025

The Data Platform Fundamentals Guide Learn the fundamental concepts to build a data platform in your organization. - Tips and tricks for data modeling and data ingestion patterns - Explore the benefits of an observation layer across your data pipelines - Learn the key strategies for ensuring data quality for your organization Get the guide Jorge García Herrero: “Localhost tracking” explained.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Engineering 52

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