JumpStart to Spark Programming for Developers

JumpStart to Spark Programming for Developers

Apache Spark, a significant component in the Hadoop Ecosystem, is a cluster computing engine used in Big Data. Building on top of the Hadoop YARN and HDFS ecosystem, it offers order-of-magnitude faster processing for many in-memory computing tasks compared to Map/Reduce. It can be programmed in Java, Scala, Python, and R - the favorite languages of Data Scientists - along with SQL-based front ends.  With advanced libraries like Mahout and MLib for Machine Learning, GraphX or Neo4J for rich data graph processing as well as access to other NOSQL data stores, Rule engines and other Enterprise components, Spark is a lynchpin in modern Big Data and Data Science computing. 

Geared for experienced developers, Spark Developer | Spark for Big Data, Hadoop & Machine Learning provides students with a comprehensive, hands-on exploration of enterprise-grade Spark programming, interacting with the significant components mentioned above to craft complete data science solutions.  Students will leave this course armed with the skills they require to begin working with Spark in a practical, real world environment.  

This course is offered in support of the Python programming language but can also be offered for R or Java with advance notice and planning. Our team will work with you to coordinate the languages, tools and environment that will work best for your organization and needs. Please inquire for details. 

Learning Objectives 

This “skills-centric” course is about 50% hands-on lab and 50% lecture, designed to train attendees in core big data/ Spark development and use skills, coupling the most current, effective techniques with the soundest industry practices. Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review.  

This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development focused on Spark and related tools.  Working in a hands-on learning environment, students will explore: 

• Spark Ecosystem  
• Spark Shell  
• Spark Data structures (RDD, DataFrame, Dataset)  
• Spark SQL  
• Modern data formats and Spark  

• Spark API  
• Spark & Hadoop & Hive  
• Spark ML overview  
• GraphX  
• Time-permitting: Spark Streaming  

• Time-permitting: Optional Capstone Workshop (Time-Permitting)  

Trivera offers hundreds of end-to-end skills-focused courses that provide participants with the job-ready skills they require to be truly productive in a modern IT business enterprise. Our courses are available for individuals, their teams, or across their organization, for students of all skill levels and roles.  We offer an extensive online Public Course Schedule, deep catalog for Private Courses, flex-hour Mini-Camp short courses, self-paced QuickSkills courses, free webinars and more.  Trivera’s unique EveryCourse Extras and AfterCourse Extras programs, included with every course, ensure our students can put their newly-learned skills right to work, while providing them with a solid platform for continued skills-development, support and long-term growth.   For more information about our dedicated training services, public course offerings, collaborative coaching services, new hire or enterprise upskilling programs, or to see our complete list of course offerings and special offers please call us toll free at 844-475-4559. Our pricing and services are always satisfaction guaranteed.