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Instructor-led Apache Spark Courses
Customized, role-based, expert-led Apache Spark Training
DevelopIntelligence specializes in delivering highly-customized, dedicated, role-based Apache Spark training courses to technical teams and organizations.
Of course, if you can't find the Apache Spark training course you're looking for, give us a call or contact us and we'll design one just for you and your team.
Our Apache Spark training offerings include:
- Apache Spark Corporate Bootcamps
- Apache Spark UpSkilling and ReSkilling Programs
- Apache Spark New Hire Development Programs
- Learning Strategies for Custom Apache Spark Projects
Apache Spark is an open-source distributed general-purpose cluster-computing framework. Spark is a very popular Big Data tool which is often considered as a replacement for the batch-oriented Hadoop system. Spark is an extended version of Map Reduce processing, which allows multiple machines to work on the same problem together.
Executing a digital transformation or having trouble filling your tech talent pipeline?
Upskilling & Reskilling
For Tech Teams
Need to stay ahead of technology shifts and upskill your current workforce on the latest technologies?
New Hire Development
for Talent Acquisition
Is your engineering new hire experience encouraging retention or attrition?
For Tech Learning
Looking for in-the-trenches experiences to level-up your internal learning and development offerings?
Chat with one of our tech experts to create a custom on-site or online training program.
If you are not completely satisfied with your training class, we'll give you your money back.
Learn how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.
Learn how to use Apache Spark as an alternative to traditional MapReduce processing.
Learn about the architecture and internals of Spark, a fast and general engine for big data processing with built-in modules for streaming, SQL, machine learning, and graph processing.
Learn about and build end-to-end SML pipelines for gaining actionable insights.
Learn best practices and techniques to optimize Spark Core and Spark SQL code.