Advance Your Data Skills in Apache Spark

Apache Spark is among the fastest-growing tools in data science, due to its streaming, speed, and scalability. LinkedIn data shows Spark as one of the most sought-after skills in data engineering and data devops; this learning path is an ideal resource for boosting your skills and your resume.

Master the fundamental functions of Apache Spark.
Use Spark in machine learning applications.

Syllabus

Courses under this program:
Course 1: Apache Spark Essential Training: Big Data Engineering
-This course focuses on building full-fledged solutions that combine Apache Spark with other Big Data tools to create end-to-end data pipelines.

Course 2: Introduction to Spark SQL and DataFrames
-Learn about DataFrames, a widely used data structure in Apache Spark. Discover how to manipulate and analyze distributed data with the DataFrames API and SQL.

Course 3: Azure Spark Databricks Essential Training
-Learn best practices, patterns, and processes for developers and DevOps teams who want to design and implement data processing using Azure Databricks.

Course 4: Apache Spark Deep Learning Essential Training
-Learn how to do deep learning with images on Apache Spark, using the Databricks deep learning library and Python.

Course 5: Architecting Big Data Applications: Batch Mode Application Engineering
-Develop the skills required to architect and manage batch processing applications to generate consistent data-driven results.

Course 6: Using Apache Spark with .NET
-This course offers a solid introduction to .NET for Apache Spark and how it brings the world of big data analytics to the .NET ecosystem.

Course 7: Cloud Hadoop: Scaling Apache Spark
-Generate genuine business insights from big data. Learn to implement Apache Hadoop and Spark workflows on AWS.

Course 8: Big Data Analytics with Hadoop and Apache Spark
-Learn how to leverage Hadoop and Apache Spark to build scalable and optimized data analytics pipelines.

Course 9: Apache PySpark by Example
-Get up and running with Apache Spark quickly. This practical hands-on course shows Python users how to work with Apache PySpark to leverage the power of Spark for data science.