This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on July 8, 2025 in Data Science Image by Author | Ideogram You know that feeling when you have data scattered across different formats and sources, and you need to make sense of it all? Every ETL pipeline follows the same pattern.
By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on July 17, 2025 in Data Science Image by Author | Ideogram Data is the asset that drives our work as data professionals. Building the Data Pipeline Before we build our data pipeline, let’s understand the concept of ETL, which stands for Extract, Transform, and Load.
It makes ETL accessible to more users - without compromising on production readiness or governance - by generating real Lakeflow pipelines under the hood. These changes build on our ongoing commitment to make Lakeflow Declarative Pipelines the most efficient option for production ETL at scale. Preview coming soon.
By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 19, 2025 in Programming Image by Author | Ideogram Youre architecting a new data pipeline or starting an analytics project, and you’re probably considering whether to use Python or Go. We compare Go and Python to help you make an informed decision.
By Josep Ferrer , KDnuggets AI Content Specialist on July 15, 2025 in Data Science Image by Author Delivering the right data at the right time is a primary need for any organization in the data-driven society. Its key goals are to ensure data quality, consistency, and usability and align data with analytical models or reporting needs.
By Abid Ali Awan , KDnuggets Assistant Editor on June 9, 2025 in Language Models Image by Author DeepSeek-R1-0528 is the latest update to DeepSeeks R1 reasoning model that requires 715GB of disk space, making it one of the largest open-source models available.
This is especially valuable for Azure customers looking to modernize workflows from legacy ETL tools, making pipeline development accessible to a broader range of users while ensuring reliability and scalability. Lakebridge accelerates the migration of legacy data warehouse workloads to Azure Databricks SQL.
Key launches: Highlights include Lakebase for real-time insights, AI/BI Genie + Deep Research for smarter analytics, and Agent Bricks for GenAI-powered workflows. Key launches: Highlights include Lakebase for real-time insights, AI/BI Genie + Deep Research for smarter analytics, and Agent Bricks for GenAI-powered workflows.
In this blog, we’ll review the basics of Lakeflow Connect and recap the latest announcements from the 2025 Data + AI Summit. As part of Lakeflow Connect, Zerobus is also unified with the Databricks Platform, so you can leverage broader analytics and AI capabilities right away.
In just under 60 minutes, we had a working agent that can transform complex unstructured data usable for Analytics.” — Joseph Roemer, Head of Data & AI, Commercial IT, AstraZeneca “Agent Bricks allowed us to build a cost-effective agent we could trust in production. Agent Bricks is now available in beta.
Published: July 24, 2025 Product 4 min read by Saad Ansari , Anthony Podgorsak and Joanna Zouhour Share this post Keep up with us Subscribe Summary Discover the newest UI/UX enhancements for Lakeflow Jobs that provide users with a cleaner and more intuitive look and feel, enhancing their overall experience. All rights reserved.
Amazon Web Services (AWS) returns as a Legend Sponsor at Data + AI Summit 2025 , the premier global event for data, analytics, and AI. We can’t wait to see you at the Data + AI Summit 2025 - whether in person or tuning in virtually from around the world. Don’t Miss Out…Register Today!
Published: June 11, 2025 Announcements 5 min read by Ali Ghodsi , Stas Kelvich , Heikki Linnakangas , Nikita Shamgunov , Arsalan Tavakoli-Shiraji , Patrick Wendell , Reynold Xin and Matei Zaharia Share this post Keep up with us Subscribe Summary Operational databases were not designed for today’s AI-driven applications.
This empowers users to explore ad hoc or external data seamlessly, reducing friction in the analytics workflow. This enhancement brings location intelligence to conversational analytics and helps users visualize patterns like store locations, service requests, or delivery routes. Follow-up Questions for Text Responses.
By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on June 6, 2025 in Python Image by Author | Canva When it comes to error handling, the first thing we usually learn is how to use try-except blocks. Master these 5 Python patterns that handle failures like a pro! But is that really enough as our codebase grows more complex?
From October 28–30 in San Francisco, ODSC West 2025 returns with a robust lineup of 15 tracks aimed at helping professionals build practical skills and stay ahead of emerging trends in AI. Ideal for anyone focused on translating data into impactful visuals and stories. Attendees will see how AI accelerates autonomy and intelligent robotics.
Summary : This guide provides an in-depth look at the top data warehouse interview questions and answers essential for candidates in 2025. Introduction As the demand for data professionals continues to rise, understanding data warehousing concepts becomes increasingly essential for candidates preparing for interviews in 2025.
Scalable Intelligence: The data lakehouse architecture supports scalable, real-time analytics, allowing industrials to monitor and improve key performance indicators, predict maintenance needs, and optimize production processes.
By Nate Rosidi , KDnuggets Market Trends & SQL Content Specialist on July 9, 2025 in Artificial Intelligence Image by Author | Canva Do you think only mathematicians and software engineers can work in AI? Sure, you can transition into AI. Here are five practical ways of doing it. Well, you’re wrong if you do.
It enables flexible analytics, machine learning, and real-time insights. This guide is optimized for students, professionals, and anyone interested in understanding data lakes in 2025. Key Takeaways Data lakes store all data types in raw form, supporting diverse analytics needs.
Published: July 24, 2025 Industries 20 min read by Zach King and Rajneesh Arora Share this post Keep up with us Subscribe Summary Organizations face rising pressure to balance cloud and platform costs with high demand for data and AI-intensive workloads. All rights reserved.
In this example, TTL ensures that city-wide analytics remain current and relevant. Performing Location-Based Analytics Now let’s imagine a scenario where smart city planners deploy environmental sensors across diverse urban zones - from busy downtown intersections to residential neighborhoods and industrial complexes.
Project management is crucial in 2025 for any business. Example: For a project to optimize supply chain operations, the scope might include creating dashboards for inventory tracking but exclude advanced predictive analytics in the first phase. ETL tools : Map how data will be extracted, transformed, and loaded.
Simple business questions can become multi-day ordeals, with analytics teams drowning in routine requests instead of focusing on strategic initiatives. Karam Muppidi is a Senior Engineering Manager at Amazon Retail, leading data engineering, infrastructure, and analytics teams within the Worldwide Returns and ReCommerce organization.
Strengthening Defenses with Advanced Fraud Analytics Protecting the network, customers and the business from fraud, compliance risks and cyber threats is paramount. Our joint fraud analytics solutions leverage the power of machine learning on the Databricks Data Intelligence Platform.
By Matthew Mayo , KDnuggets Managing Editor on July 8, 2025 in Programming Image by Author | ChatGPT Of all the buzzwords to emerge from the recent explosion in artificial intelligence, "vibe coding" might be the most evocative, and the most polarizing.
Launched in 2025, SageMaker Unified Studio is a single data and AI development environment where you can find and access the data in your organization and act on it using the best tools across use cases.
At ODSC East 2025 , were proud to partner with leading AI and data companies offering these credits to help data professionals test, build, and scale their work. Credits can be used to run Python functions in the cloud without infrastructure management, ideal for ETL jobs, ML inference, or batch processing.
I worked extensively with ETL processes, PostgreSQL, and later, enterprise-scale data systems. When I discovered the field of data analytics, it felt like a perfect fit. Many companies struggle with data silos, so we focus on centralizing data, optimizing ETL processes, and enabling real-time analytics.
Sample Dataflow Graph Declarative APIs make ETL simpler and more maintainable Through years of working with real-world Spark users, we’ve seen common challenges emerge when building production pipelines: Too much time spent wiring together pipelines with “glue code” to handle incremental ingestion or deciding when to materialize datasets.
by Mohit Pandey As India experiences a surge in AI job opportunities, graduates entering the job market in 2025 will need to master a strong set of skills to stay ahead of the competition. Based on current trends, here are the top skills for landing a job in India as a 2025 graduate starting from scratch: Core Programming Skills 1.
July 2025) 67 points by whoishiring 10 hours ago | hide | past | favorite | 170 comments Share your information if you are looking for work. I'm JD, a Software Engineer with experience touching many parts of the stack (frontend, backend, databases, data & ETL pipelines, you name it). Email: hoglan (dot) jd (at) gmail Hello!
We organize all of the trending information in your field so you don't have to. Join 17,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content