Azure Cloud Azure Databricks Apache Spark Machine learning
Master Big Data technologies: Spark SQL, Hadoop, Kafka, Data Lakes & more. Learn transfer learning, graph databases & cloud solutions with Zeppelin & Cloudbreak.
Course Content
Azure Cloud Azure Databricks Apache Spark Machine learning is an all-levels Udemy course taught by Bigdata Engineer. It runs 8h 41m, is taught in English, and includes a certificate of completion. Learners rate it 2.9 out of 5 from 140 reviews, with 771 students enrolled. It is a paid course, last updated May 2020.
Unlock the Power of Cloud Analytics with Azure Databricks
Ready to master Azure Databricks, the leading Apache Spark-based analytics service on Microsoft Azure? This course is designed for everyone, no prior Azure experience required, and will have you building solutions in minutes.
What is Azure Databricks?
Azure Databricks is a powerful collaboration between Microsoft and Databricks, bringing the best of Apache Spark to the Microsoft Azure cloud. It's a fast, easy-to-use, and collaborative platform for data engineering, data science, and machine learning. Databricks builds upon the robust Apache Spark framework, adding key enhancements:
- Highly Reliable & Performant Data Pipelines: Build robust and efficient data workflows.
- Productive Data Science at Scale: Accelerate your data science projects with a collaborative environment.
Key Skills You'll Gain:
This course provides a strong understanding of Azure Databricks and equips you with practical skills in:
- Spark SQL: Query and analyze data using SQL.
- Machine Learning: Develop and deploy machine learning models.
- Graph Computing: Analyze relationships and patterns in data.
- Structured Streaming Computing: Process real-time data streams.
Why Choose Azure Databricks?
Azure Databricks offers a compelling combination of benefits:
- Productivity: Quickly deploy new Apache Spark environments – launch in minutes!
- Scalability: Easily scale your analytics and machine learning projects globally to handle growing data volumes.
- Trust: Benefit from robust data protection with Azure AD integration, role-based access control, and enterprise-grade SLAs.
- Flexibility: Build AI and machine learning solutions using your preferred programming languages and deep learning frameworks.
Course Content & Format:
This course combines comprehensive theory (with downloadable slides for reference) with extensive, hands-on demonstrations. You'll gain practical experience through real-world examples. We'll cover the installation and deployment of Open Source Apache Spark and delve into practical applications of Machine Learning, Streaming Computing, and Graph Analysis within the Azure Databricks environment.
Foundation for Azure & Databricks:
This course provides a solid foundation for further exploration of the Microsoft Azure Cloud and Databricks, empowering you to build innovative data-driven solutions.
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