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What happens when you strip away all the noise of queries and pipelines and focus on the data itself? You get down to the intrinsic data quality. What’s the difference between intrinsic and extrinsic data quality? Intrinsic data quality is the quality of data assessed independently of its use case. Extrinsic data, meanwhile, is more about the context — it’s how your data interacts with the world outside and how it fits into the larger picture of your project or organization.
Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. As the sophistication increases, so does the complexity, leading to challenges for user experience.
The new class of spot Bitcoin ETFs that were approved by the SEC yesterday are now available on Robinhood Earlier today, Robinhood started offering the new class of spot Bitcoin ETFs that were approved by the SEC on January 10. These 11 ETFs became tradable to all customers in the United States this morning in both retirement and brokerage accounts though Robinhood Financial.
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
Free courses are a great way to explore data science. But you do pay for free courses with your time, energy, and motivation. Consider these 7 things before starting a free Data Science course.
It's technically possible to process files in a continuous way from a streaming job. However, if you are expecting some latency sensitive job, this will always be slower than processing data directly from a streaming broker. Why?
It's technically possible to process files in a continuous way from a streaming job. However, if you are expecting some latency sensitive job, this will always be slower than processing data directly from a streaming broker. Why?
Thoughts. Backward and forward. ( credits ) Hello, it's 2024. I hope you're well and that you've ended 2023 on a high note with your loved ones. I wish you a Happy New Year and all the best for 2024. I'm very happy to have the privilege of corresponding with you and it honours me. This edition of Data News will focus on the end of 2023 with a good retrospective about me and my activities—content and freelancing.
In today’s dynamic business landscape, numerous organizations are transitioning to the Snowflake Data Cloud, seeking more agile, secure and efficient solutions to manage and activate customer data. Yet, the timelines and engineering resources needed to support implementation haven’t always kept pace with the increased market demand, impeding innovation.
Ray is an open-source unified compute framework that simplifies scaling AI and Python workloads in a distributed environment. Since we introduced support for.
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.
Cargill Ocean Transportation (OT) manages 650 ships at sea every single day. Today’s consumers expect brands to help mitigate climate change, and even a large freight-trading organization such as Cargill OT is no exception. Because the company holds “customers at the center of every decision we make,” according to René Greiner, Head of Data and Digital at Cargill OT, this means Cargill OT strives to play its part in protecting the environment.
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.
Third-party cookies have long been the backbone of online advertising, providing valuable insights into user behavior and enabling targeted, personalized campaigns. However, privacy concerns and evolving regulations have led major browsers like Safari and Firefox to limit or eliminate third-party cookie tracking. The next major milestone is upon us as Google is now testing a cookieless experience for 1% of randomly assigned Chrome users.
Back in July, we released the public preview of the new Databricks Assistant, a context-aware AI assistant available in Databricks Notebooks, SQL editor.
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
Snowflake account managers need their fingers on the pulse of which workload shifts or performance optimizations could improve customer experience. Yet without an all-encompassing view of their customers, sales teams have to piece together customers’ wants and needs through duplicate CRM accounts and various BI tools and dashboards. That’s why Snowflake is developing a natural language processing (NLP) app to equip our own sales team with a multi-dimensional view of customer accounts, including
This is a pretty good list of what ChatGPT can't do. But it's not exhaustive. ChatGPT can generate pretty good code from scratch, but it can't do anything that would take your job.
For most of us, the role of a Project Manager is quite well defined. But how many of us know the role a project manager plays in an Agile project? Some other questions that often boggle budding Agilists are, exactly how different a product owner is different from a project manager? And are these roles interchangeable? It is important to understand Project Manager and Product Owner Responsibilities for better differentiation.
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
As an industry built on data, financial services has always been an early adopter of AI technologies. In a recent industry survey , 46% of respondents said AI has improved customer experience, 35% said it has created operational efficiencies, and 20% said it has reduced total cost of ownership. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology.
The author highlights the chronic under-deployment of ML projects, with only 22% of revolutionary initiatives deploying and a lack of stakeholder visibility and detailed planning as key issues, in his industry survey and book "The AI Playbook.
Imagine trying to engage the audience while talking to them – it's like walking along a tricky path. Our attention spans are shorter than ever, just about eight seconds. I've faced the challenge of holding people's attention, especially when each person has their own distractions. So, how do you engage an audience? Think about standing in front of a group, everyone dealing with different things in their heads.
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!
Virtually every business leader understands just how valuable data can be for driving innovation, increasing revenue, improving customer satisfaction, optimizing processes, and achieving compliance. A recent study from 451 Research found that almost 80% of business leaders say that data is becoming more important for effective strategic decision-making.
A Scrum Master's salary is usually determined by experience, location, and employer. However, salaries can range significantly, depending on the company, the industry, and the experience of the Scrum Master. The Scrum Master is responsible for managing the development team and ensuring the successful execution of the project. They are also responsible for facilitating communication between stakeholders and the team, removing barriers and helping the team stay focused on the long-term goal.
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
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