Course description
Apache Spark Primer | Hands-on Spark Essentials, Components, RDDs & More
Apache Spark Basics is a two-day, fast-paced course that provides students with a quick introduction to the Spark environment, benefits, features and common uses and tools. Working in a hands-on learning environment, students will learn where Spark fits into the Big Data ecosystem, and how to use core Spark features for critical data analysis. The course also explores (at a higher-level) key Spark technologies such as Spark shell for interactive data analysis, Spark internals, RDDs, Dataframes and Spark SQL.
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Who should attend?
This is an Introductory-level course is geared for experienced Developers and Architects seeking to be proficient in Spark tools & technologies. Attendees should be experienced developers who are comfortable with Java, Scala or Python programming. Students should also be able to navigate Linux command line and have basic knowledge of Linux editors (such as VI / nano) for editing code
Training content
Spark Basics
- Background and history
- Spark and Hadoop
- Spark concepts and architecture
- Spark eco system (core, spark sql, mlib, streaming)
First look at Spark
- Spark in local mode
- Spark web UI
- Spark shell
- Analyzing dataset - part 1
- Inspecting RDDs
RDDs In Depth
- Partitions
- RDD Operations / transformations
- RDD types
- MapReduce on RDD
- Caching and persistence
- Sharing cached RDDs
Spark SQL & Dataframes
- Dataframes
- Dataframes DDL
- Spark SQL
- Defining tables and importing datasets
- Queries
Costs
- Price: $1,795.00
- Discounted Price: $1,166.75
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Over 25 years of technology training expertise.
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Trivera Technologies
Trivera Technologies is a IT education services & courseware firm that offers a range of wide professional technical education services including: end to end IT training development and delivery, skills-based mentoring programs,new hire training and re-skilling services, courseware licensing and...