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 | Introduction to 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.
Tailor your learning experience with Trivera Tech. Whether you need a custom course offering or want to schedule a specific date and time for corporate training, we are here to help. Our team works with you to design a solution that fits your organization's unique needs; whether that is enrolling a small team or your entire department. Simply let us know how many participants you'd like to enroll and the skills you want to develop, and we will provide a detailed quote tailored to your request.
Contact Trivera Today to discuss how we can deliver personalized training that equips your team with the critical skills needed to succeed!