Wed.Mar 12, 2025

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How to Use Apache Iceberg Tables?

Analytics Vidhya

Apache Iceberg is a modern table format designed to overcome the limitations of traditional Hive tables, offering improved performance, consistency, and scalability. In this article, we will explore the evolution of Iceberg, its key features like ACID transactions, partition evolution, and time travel, and how it integrates with modern data lakes. Well also dive into […] The post How to Use Apache Iceberg Tables?

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Snowflake Ventures Invests in Anomalo for Advanced Data Quality

Snowflake

In todays data-driven world, organizations depend on high-quality data to drive accurate analytics and machine learning models. But poor data quality gaps, inconsistencies and errors can undermine even the most sophisticated data and AI initiatives. According to a new report by MIT Technology Review Insights , done in partnership with Snowflake, more than half of those surveyed indicated that data quality is a top priority.

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9 AI Agent Learnings After a Year of Deployment

Monte Carlo

The enterprise AI landscape is expanding all the time. With that expansion comes new challenges and new learning opportunities when it comes to GenAI development. Every day, the engineering team at Monte Carlo works with hundreds of customers across industries who are building AI in production today by monitoring the structured data and RAG pipelines that power their applications, from chatbots and cloud spend optimization to self-service analytics enablement and structuring unstructured data a

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Fan 360: More Revenue, Better Experiences for Sports Fans

Snowflake

Sports fans are the heart and lifeblood of every game. They are the ones packing stadiums, spending endless hours researching their fantasy lineup, traveling the country or world to support their favorite teams, snapping untold numbers of photos on their phones, passionately posting on social media and purchasing streaming packages and the latest swag.

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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

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10 AI Agent Learnings After a Year of Deployment

Monte Carlo

The enterprise AI landscape is expanding all the time. With that expansion comes new challenges and new learning opportunities when it comes to GenAI development. Every day, the engineering team at Monte Carlo works with hundreds of customers across industries who are building AI in production today by monitoring the structured data and RAG pipelines that power their applications, from chatbots and cloud spend optimization to self-service analytics enablement and structuring unstructured data a

AWS 52
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Top 10 Cybersecurity Companies in India

Edureka

In today’s digital age, cybersecurity companies in India play a crucial role in safeguarding our personal data and critical systems. Because technology is getting into every part of our lives, strong cybersecurity measures are needed to keep data, personal information, and important systems safe from cyber risks that are getting smarter all the time.

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Natural Language Processing in Healthcare

WeCloudData

Natural Language Processing (NLP) is the key to all the recent advancements in Generative AI. Like many other industries, NLP has also revolutionized the life sciences and healthcare. The application of NLP in the medical domain ranges from drug discovery and efficient diagnosis to patient care and automating administrative tasks. To learn more about how […] The post Natural Language Processing in Healthcare appeared first on WeCloudData.

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DeepSeek AI Research Paper Breakdown

Edureka

Artificial Intelligence (AI) research is rapidly advancing, with DeepSeek AI emerging as one of the most promising models in the field. The new DeepSeek AI study paper goes into great detail about the system’s architecture, how it is trained, how it is optimized, and how it can be used in the real world. This blog will break down the research paper’s key aspects, helping you understand how DeepSeek AI works and why it stands out in the AI landscape.

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A Practical Guide to Modern Airflow

KDnuggets

Most data professionals and top companies, such as Airbnb and Netflix, use Apache Airflow daily. That is why you will learn how to install and use Apache Airflow in this article.

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Unlocking the Power of Customer Feedback Analysis in Retail with Databricks AI Functions

databricks

In todays dynamic retail environment, staying connected to customer sentiments is more crucial than ever. With shoppers sharing their experiences across countless platforms, retailers are.

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Smart Tech + Human Expertise = How to Modernize Manufacturing Without Losing Control

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

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Getting Started with Python’s asyncio Library

KDnuggets

Check out this guide to learn how you can use asyncio for asynchronous programming in Python.

Python 77
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Publish to Multiple Catalogs and Schemas from a Single DLT Pipeline

databricks

DLT offers a robust platform for building reliable, maintainable, and testable data processing pipelines within Databricks. By leveraging its declarative framework and automatically provisioning optimal.

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How To Delete a Topic in Apache Kafka®: A Step-By-Step Guide

Confluent

Learn how to delete topics in Apache Kafka safely and efficiently. Explore step-by-step instructions, best practices, and important considerations for managing Kafka topics.

Kafka 63
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Business Insights Meet Analytics Skills in Anomaly Detection

Elder Research

Learn how anomaly detection can uncover valuable insights, from fraud detection to groundbreaking discoveries in your data.

Data 59
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The Ultimate Guide to Apache Airflow DAGS

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

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Data Lake vs. Delta Lake: What You Need to Know

Monte Carlo

Ah, data. It flows through pipelines , pools in lakes , and even gets neatly bottled up in warehouses. For a while, the water metaphor workeduntil it didnt. Data lakes turned into swamps , pipelines burst, and just when you thought youd earned a degree in hydrology, someone leaned in and whispered: Delta Lake. Delta what now? Are we building data dams next?

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Ensuring Data Transformation Results with Great Expectations

Wayne Yaddow

How GX helps data teams validate, test, and monitor complex data pipelines Introduction Data flows from diverse sources, and transformations are becoming increasingly complex. However, Great Expectations (GX ) sets itself apart as a robust, open-source framework that helps data teams maintain consistent and transparent data quality standards. Great Expectations can be integrated directly into existing data pipelines to define, test, and document expectations about the appearance of transformed o

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Everything You Need to Know for Snowflake Summit 2025

Monte Carlo

Can you believe it? Snowflake Summit 2025 is already almost here. It feels like just yesterday we were in Moscone Center hanging out with the Snowflake Bear and ushering in the era of enterprise AI. Snowflake Summit 2025 , happening June 2-5, 2025 in San Francisco, is poised to be even bigger, better, and more innovative than the last. This years theme?

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How To Delete a Topic in Apache Kafka®: A Step-By-Step Guide

Confluent

Learn how to delete topics in Apache Kafka safely and efficiently. Explore step-by-step instructions, best practices, and important considerations for managing Kafka topics.

Kafka 52
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How to Achieve High-Accuracy Results When Using LLMs

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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How to Make Better Data-Driven Decisions as a Customer Experience Leader   

Precisely

Key Takeaways: Make faster, data-driven decisions – Bring all customer communications needs into one place. Improve data access for better CX – Empower teams with easy access to data, design, and archiving for more efficiency and personalization. Boost efficiency and reduce costs – Check out the real-world results of bringing together design, delivery, and archiving into one platform.