Course DetailsThis 32 hours Instructor lead training course is aimed at aspiring SPARK developer to teach Spark programming fundamentals and advance programming. This course introduces the Apache Spark distributed computing engine, and is suitable for
developers, data analysts, architects, technical managers, and anyone who needs to use Spark in a hands-on manner.The course provides a solid technical introduction to the Spark architecture and how Spark works. It covers the basic building blocks of Spark (e.g. RDDs and the distributed compute engine), as well as higher-level constructs that provide a simpler and more capable interface.It includes in-depth coverage of Spark SQL, DataFrames, and DataSets, which are now the preferred programming API. This includes exploring possible performance issues and strategies for optimization. The course also covers more advanced capabilities such as the use of Spark Streaming to process streaming data, and integrating with the Kafka server
Students should be familiar with any programming language like Scala, Python, Java or SQL and basic Unix knowledge is helpful . It is very nice to have previous Hadoop experience but not mandatory .
Developers will learn to build simple Spark applications for Apache Spark version 2.1. You will use Spark’s interactive shell to load and inspect data, then learn about the various modes for launching a Spark application. Also covered are working with DataFrames, datasets, and User-Defined Functions (UDFs).
Big Data overview
Big Data Use case
Yarn Architecture/ Overview
The purpose & function of RDD
Spark programming basics
RDD Partitioning and Transformation
Describe Spark Streaming
Create and view basic data streams
Perform basic transformations on streaming data
Utilize window transformations on streaming data
Spark SQL components
An Overview of SPARK Data frame
DataFrames & tables
Creating Data frames
Spark Data frame Programming
Data frame Transformation and Action
Data frame SQL based query’s
Spark dataset Overview
Spark data set Programming
Spark dataset transformation & Action
Spark programming model
Lab demonstration Spark Dataframe & Dataset
Spark Job monitoring
Spark Job structure
Spark Application UI
Spark performance Tuning
Spark programming for Grouping, Reducing & Joining
Using Spark Variables (Broadcast & Accumulator)
Spark program caching, Storage
Spark programming shuffling
Spark Application submission
YARN client mode
Yarn cluster mode
Spark programming tuning
Spark programming Optimization
Building & Running Spark application
Spark cluster mode
Spark YARN mode
Spark Machine learning Overview
The total duration for this course is 32 hours.
Note: Please inquire with us for ongoing promotions and early bird prices.
Visit us at www.aiquestinc.com
The mission of Ai Quest (AiQ) is to help organisations and knowledge workers to explore and realize their true potential in the Artificial Intelligence (AI) landscape. The true potential of Big Data in the AI realm goes beyond implementing new technologies and having appropriate data analytics. The strategy must include well trained resources, right performance measures that affect the corporate performance, exploiting existing technological resources to maximize the value and continuous investment in corporate training.
We want to bring corporate quality and industry standard training to individuals seeking a career in Big Data. Our courses are modelled based on extensive industry experience and cater to current Industry needs to provide relevant practical experience and real-time working knowledge. Our elite courses cover core concepts in Big data as offered by corporate solution partners-Horton Works, Cloudera and Pivotal.
For those looking to certify, the course has been designed specifically to help take the certification examination with ease. Also, the courses are designed with an ideal theory to practical ratio of 50:50, ensuring learning conceptual knowledge backed by practical applicable skills relevant to the work force. The courses are delivered by professional trainers who offer corporate trainings to companies and are working as consultants and architects on Big Data projects.