Introduction to SQL Big Data & Analytics
This comprehensive course, “Microsoft SQL Server 2019 – Big Data Clusters,” is designed to provide in-depth knowledge and practical skills for managing and leveraging big data using Microsoft SQL Server 2019. The course covers key concepts, tools, and technologies, including Linux, Docker, Kubernetes, Hadoop, Spark, and Machine Learning Services. You will learn how to deploy, monitor, and manage big data clusters, as well as how to load, query, and transform data efficiently.
With a focus on real-world applications, this course guides you through various scenarios involving data virtualization, deploying Spark jobs, and creating machine learning models. By the end of the course, you will be equipped with the skills to handle big data challenges and harness the power of SQL Server 2019’s big data capabilities.
What Will I Learn?
- Understand the architecture and components of big data clusters.
- Deploy and configure Kubernetes and Docker for big data clusters.
- Load and query data using HDFS and T-SQL.
- Work with Spark for data transformation and analysis.
- Implement machine learning models using Python, R, and MLeap.
- Create and manage big data applications.
- Monitor and maintain big data clusters efficiently.
Material Includes
- 41 On-demand Videos
- Closed Captions
- 8 Topics
- 75 Prep Questions
- Certificate of Completion
Audience
- Database Administrators seeking to enhance their skills in big data management.
- Data Engineers who need to implement big data solutions.
- Data Scientists looking to leverage SQL Server for big data analytics.
- IT Professionals aiming to manage and deploy big data clusters.
- Beginners interested in learning about big data technologies.
