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While predicting the future may be impossible (so far), analyzing trends and learning from industry leaders can help us get pretty close. In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend.
Read Time: 5 Minute, 8 Second In a financial institution, sensitive information such as Customer Numbers , transaction details , and customer balances are often needed for internal analysis and reporting. However, due to compliance regulations, access to these fields needs to be restricted based on the user’s role. To solve this, we’ll apply Projection Policies to ensure that only certain roles can see sensitive columns like Customer numbers.
We are thrilled to announce the General Availability of a Python step-through debugger for Databricks Notebooks and Files. This highly requested feature allows.
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
Understanding GenAI models Generative AI (GenAI) models are designed to create content, recognise patterns and make predictions. In addition, they have an ability to improve over time as they are exposed to more data. GenAI chatbot models, such as GPT-4 by OpenAI, can generate human-like text and other forms of content autonomously. They can produce outputs that are remarkably like human-created content, making them useful for a wide range of applications.
In this article, the author proposes a new phrase: "If Data is the New Oil, then Generative AI is the new Rocket Fuel," to emphasize GAI's role in enhancing data's value.
In this article, the author proposes a new phrase: "If Data is the New Oil, then Generative AI is the new Rocket Fuel," to emphasize GAI's role in enhancing data's value.
Creating views based on your queries is crucial for giving users access to data as if it were a table while also allowing them to perform complex operations. By encapsulating these queries as reusable objects, views prevent direct alterations to underlying tables.
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.
Over the last few months, Cloudera has been traversing the globe hosting our EVOLVE24 event series. It has been a time full of excitement, innovative ideas, and connection with our partners and customers. It also provided a moment for us to launch an important initiative for Cloudera: our Women Leaders in Technology (WLIT) initiative. WLIT is a global initiative developed to create a forum wherein women and allies in tech leadership roles can connect with and demonstrate to women and girls tha
Robinhood Markets, Inc. is excited to announce a new partnership with Howard University , aimed at addressing the financial challenges student-athletes often face. This marks Robinhood’s first partnership with a Historically Black College or University (HBCU), bringing its signature Money Drills program to Howard, the ninth D1 university for the program, and expanding access to comprehensive financial education for student-athletes.
Karate is an automation framework designed to make automation testing easy, super readable and more reliable than other offerings in the open source space - don’t even ask me how many times I’ve been bitten by Selenium’s reluctance to play nice with UI elements or been snowed under trying to get my head around a complex multi-util, multi-file test scenario.
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.
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