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Databricks Learning Series: SQL Workshop

Regional Event

Streaming from Sydney, Australia

This 3 hour tutorial is suited for SQL analysts and developers who want to get hands-on experience and a deeper knowledge of the benefits of using SQL on the Databricks Unified Data Analytics Platform. Domain knowledge and familiarity of SQL is required for this session.

Using SQL to Query your Data Lake with Delta Lake

Regional Event

Streaming from Sydney, Australia

Join Databricks and Microsoft as we share how you can easily query your data lake using SQL and Delta Lake on Azure. We’ll show how Delta Lake enables you to run SQL queries without moving or copying your data. We will also explain some of the added benefits that Azure Databricks provides when working with Delta Lake.

Building Reliable Data Lakes with Delta Lake | Hands-on Lab

Regional Event
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Virtual Event

Join this virtual hands-on lab to learn how Delta Lake can help you build robust production data pipelines at scale. This virtual event will give you the opportunity to gain an understanding of the Delta Lake open source project, learn how to build highly scalable and reliable data pipelines using Delta Lake, see Delta Lake in action

Modern Data Engineering with Azure Databricks (East)

Regional Event
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Virtual Event

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’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. You’ll learn how to use ML frameworks (i.e. TensorFlow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.

AWS | Databricks ML Dev Day Virtual Workshop – joined by Freeletics

Regional Event

Virtual Workshop

Unifying Data Pipelines and Machine Learning with Apache Spark™ and Amazon SageMaker - Join this virtual workshop to learn how Unified Data Analytics can bring Data Science, Business Analytics and engineering together to accelerate your Data and ML efforts.

Unified Data Analytics | Oil and Gas Workshop

Regional Event
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Virtual Event

In this Oil and Gas focused workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Delta Lake, the de facto data lake framework in enterprises today, to unify data at massive scale across various sources from well logs to drilling reports, geospatial data and more. You’ll learn how to use ML frameworks (i.e. TensorFlow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.

Modern Data Engineering with Azure Databricks

Regional Event

Streaming from Sydney, Australia

As data volume, variety and velocity accelerate, organisations need to leverage modern data engineering. Join Databricks and Microsoft to learn how to create a modern data architecture with Azure Data Factory, Azure Databricks, Azure Synapse Analytics and Power BI.

Delta Lake Hands-on Lab (Central)

Regional Event
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Virtual Event

Delta Lake is an open source storage layer that brings reliability to data lakes. It has numerous reliability features including ACID transactions, scalable metadata handling, and unified streaming and batch data processing. It also offers DML commands to update, delete, and merge data for your data lifecycle, such as for GDPR/CCPA. Delta Lake runs on top of your existing data lake, such as on Azure Data Lake Storage, AWS S3, Hadoop HDFS, or on-premise, and is fully compatible with Apache Spark APIs. Join this virtual hands-on lab to learn how Delta Lake can help you build robust production data pipelines at scale.

AWS Machine Learning Dev Day

Regional Event

Virtual Event

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’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. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production on Amazon SageMaker.

Migrating on-premises Hadoop to a Cloud Data Lake

Regional Event

Virtual Event DACH

In this webinar, we’ll cover why companies are switching to modern cloud based platforms like Databricks on AWS, and how they use it to drive innovation, productivity, business outcomes and reduce TCO of their data lake. We’ll also share a best practice framework for how to successfully migrate data and workloads to the cloud safely and securely.

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