Companies count on their data and analytics platforms as the foundation of their innovation and digital transformation strategy. However, many on-premise users struggle with high costs, system complexity, unscalable infrastructure, and DevOps burden. Join us in this virtual conference, where you’ll learn about why companies are switching to modern cloud based platforms like Databricks, and how they use them to drive innovation, productiv...

Data and analytics platforms are the foundation of your company’s digital transformation strategy. Yet many on-premises big data users struggle with its system complexity, unscalable infrastructure, and DevOps burden. In this webinar you’ll learn why successful organizations are switching to modern, cloud-based platforms like Azure Databricks to drive innovation, productivity, and business outcomes. Leave with a best practice frame...

There’s never been a more important moment for data teams. Together, we can solve the world’s toughest problems — and it starts with Spark + AI Summit. We’ve transformed this year’s Summit into a global event — totally virtual and open to everyone, free of charge. And Summit is now even bigger: extended to five days with 200+ sessions, 4x the training, and keynotes by visionaries and thought leaders. Join te...

Every enterprise today wants to accelerate innovation by building Data and ML into their business. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of Data and ML frameworks, and moving models in development to production. In this virtual workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your Data and ML efforts. We...

Educational institutions, from primary through higher ed, are trying to adjust to a world where learning is delivered virtually. Unfortunately, most institutions are built on legacy infrastructure defined by on-premises applications, platforms and data warehouses that are disjointed, difficult to integrate and hard to scale. Because of these limitations, institutions have lagged behind the curve to leverage their vast amounts of data to drive...

Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production. In this workshop, you will learn how to leverage Apache Spark, use ML frameworks like Tensorflow, XGBoost, Scikit-Learn, and utilize MLflow to track experiment runs between multiple user...

Join Databricks on Tuesday, July 30th at 8:00am to discuss how Geospatial Analytics has evolved beyond analyzing static maps. Today, government agencies have access to massive volumes of diverse data including high-res images, streaming video, GPS data, and more. Our technical discussion will cover: Challenges analyzing large volumes of geospatial data How Databricks and open-source tools can be used to overcome these challenges Common geospat...

Combining Spark + AI topics, this conference is a unique “one-stop shop” for developers, data scientists, and tech executives seeking to apply the best tools in data and AI to build innovative products. The sessions and training at this conference will cover data engineering and data science content, along with best practices for productionizing AI. We’ve introduced two new trainings this year to help you master Apache Spark...

Apache Spark, a powerful open source processing engine built around speed, ease of use, and sophisticated analytics, has become the de facto standard for building big data applications. However, realizing the value and benefits of Spark on its own can be challenging, the founders of Spark created Databricks. The Databricks Unified Analytics Platform accelerates innovation by unifying data science, engineering, and business. Not only does it ru...

Data analytics and machine learning have enormous potential to drive disruptive innovation for federal agencies and Azure organizations that support the government sector. Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services. Join Databricks to learn how a unified approach to analytics in the cloud brings together data science and engineering to accelerate your data processing, analytics...