Azure Databricks Course

COURSE CONTENT:

With this Azure Databricks course, you'll learn how to draw insights from data and build artificial intelligence (AI) solutions with Azure Databricks, set up an Apache Spark environment, autoscale, and collaborate on shared projects in an area. interactive work. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.

The training is carried out through our Virtual Campus, with this modality you will have all the didactic content on the course platform and it will be accessible, from the start day of the course, 24 hours a day, every day of the week. The student will also have participation forums, as well as continuous tutoring.

Course index:

• Big Data on Azure Databricks

• Databricks Apache Spark Clusters

• Business scenarios for Spark

• Understand Key Components of Spark

• Core Azure Databricks Workloads

• Databricks cluster setup

• Use an R Notebook and with scikit-learn

• Use a Scala Notebook for visualization

• Use a Spark Streaming notebook

• Use an external Scala library variant-spark

• Scaling Azure Databrick Workloads

• Data Pipelines with Azure Databricks

• Machine Learning Architectures