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Key Takeaways: Harness automation and data integrity unlock the full potential of your data, powering sustainable digital transformation and growth. Data and processes are deeply interconnected. Successful digital transformation requires you to optimize both so that they work together seamlessly. Simplify complex SAP® processes with automation solutions that drive efficiency, reduce costs, and empower your teams to act quickly.
Let’s set the scene: your company collects data, and you need to do something useful with it. Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way. That’s where data pipeline design patterns come in.
We’re excited to announce a new integration between Databricks Notebooks and AI/BI Dashboards, enabling you to effortlessly transform insights from your notebooks into.
For over 20 years, Skyscanner has been helping travelers plan and book trips with confidence— including airfare, hotels, and car rentals. As digital natives, the organization is no stranger to staggering volume. Over the years, Skyscanner has grown organically to include a vast network of high-volume data producers and consumers, including: Serving over 110 million monthly users Partnering with hundreds of travel providers Operating in 30+ languages and 180 countries An fulfilling over 5,000
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
For over 20 years, Skyscanner has been helping travelers plan and book trips with confidence— including airfare, hotels, and car rentals. As digital natives, the organization is no stranger to staggering volume. Over the years, Skyscanner has grown organically to include a vast network of high-volume data producers and consumers, including: Serving over 110 million monthly users Partnering with hundreds of travel providers Operating in 30+ languages and 180 countries An fulfilling over 5,000
1. Introduction 2. Analytical databases aggregate large amounts of data 3. Most platforms enable you to do the same thing but have different strengths 3.1. Understand how the platforms process data 3.1.1. A compute engine is a system that transforms data 3.1.2. Metadata catalog stores information about datasets 3.1.3. Data platform support for SQL, Dataframe, and Dataset APIs 3.1.4.
1. Introduction 2. Analytical databases aggregate large amounts of data 3. Most platforms enable you to do the same thing but have different strengths 3.1. Understand how the platforms process data 3.1.1. A compute engine is a system that transforms data 3.1.2. Metadata catalog stores information about datasets 3.1.3. Data platform support for SQL, Dataframe, and Dataset APIs 3.1.4.
In today’s data-driven world, choosing the right schema to store data is equally important as collecting it. Schema design plays a crucial role in the performance, scalability, and usability of your data systems. Different data use cases require the selection of different schema designs.
We’re excited to announce that the Databricks Assistant , now fully hosted and managed within Databricks, is available in public preview! This version.
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.
Confluent’s CwC partner program introduces bidirectional data streaming for SAP Datasphere, powered by Apache Kafka and Apache Flink; CwC Q4 2024 new entrants.
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.
As travelers increasingly expect personalized experiences, brands in the travel and hospitality industry must find innovative ways to leverage data in their marketing and product experiences. That said, managing vast, complex data sets across multiple brands, loyalty programs and guest touchpoints presents unique challenges for companies in this industry.
As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. AI pioneer Andrew Ng recently underscored that robust data engineering is foundational to the success of data-centric AI —a strategy that prioritizes data quality over model complexity.
According to The Gartner Group, poor data quality drains a company on average $12.9 million annually in resources and expenses for operational inefficiencies, missed sales and unrealized new opportunities. Many companies, even today, struggle with balancing the high cost of computational resources against their often unpredictable needs.
Today, information has become one of the most important resources of a company. Businesses are now creating more data in their systems such as customer sales, web traffic and activity, CRM and so much more.
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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