Learn about Apache Spark, Delta Lake, MLflow, TensorFlow, deep learning, applying software engineering principles to data engineering and machine learning LEARN MORE >
Join Databricks and Microsoft as we share how you can easily scale your
single-node PyTorch deep learning models using Azure Databricks and Azure Machine Learning. We’ll show how Azure Databricks enables you to optimize your models by kicking off many training in parallel without having to make significant changes. Once you have tuned your model, we will show how you can easily put it into production as a web service for applications. We will also show how you can detect and correct model drift over time using MLflow and Delta Lake. See how the right combination of services, integrated in the right way, makes all the difference!
Join this half-day workshop to learn how Unified Data Analytics can bring
Data Science, Business Analytics and engineering together to accelerate
your Data and ML efforts. In this workshop, we’ll cover best practices for
enterprises to use powerful open source technologies to simplify and scale
your Data and ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for
data preparation as it unifies data at massive scale across various sources.
Lambda architecture is a popular technique where records are processed by a
batch system and streaming system in parallel. The results are then
combined during query time to provide a complete answer. The key downside
to this architecture is the development and operational overhead of
managing two different systems. But, with the advent of Delta Lake, we are
seeing more enterprises adopt a simple continuous data flow model to
process data as they arrive. We call this architecture, The Delta
Architecture.
In this webinar, we cover the major bottlenecks for adopting a continuous
data flow model and how the Delta architecture solves those problems.
In this virtual workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your AWS investments to make your data lake analytics ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact - lowering costs, changing time to market, and even revolutionizing industries.
Meetup —
Greentube Internet Entertainment Solutions GmbH, Wiedner Hauptstraße 94, Wien
Databricks Solutions Architect Stephan Wernz will talk about two relatively new tools open sourced by the creators of Apache Spark at Databricks: Delta Lake and MLflow.
As the largest data and machine learning conference, Spark + AI Summit brings together over 7,500 engineers, scientists, developers, analysts and leaders from around the world to San Francisco every year. Over four days, we shape the future of big data, analytics and AI as we share knowledge, hear from thought leaders and train on open-source technologies like Apache Spark™, Delta Lake, MLflow, Koalas, TensorFlow and PyTorch.
Learn innovative ways to build solutions and migrate and manage your infrastructure. Connect with over 25,000 individuals focused on software development, security, architecture, and IT. Explore new hands-on experiences that will help you innovate in areas such as security, cloud, and hybrid infrastructure and development.
Gartner is pleased to announce that the Gartner Data & Analytics Summit is now rescheduled to take place in Grapevine on September 21 - 24 at Gaylord Texan Hotel & Convention Center.
