Apache Spark and Scala Training
In Apache Spark and Scala TrainingAbout this class
Edutech Master helps you to take visual lectures through our online platform in this course you will go to learn from scratch about what Apache Spark is and how do things take place in its ecosystem; together with Spark SQL for process structuring, Spark Streaming, Spark RDD, Spark MLib, and other Spark APIs. This course will also help you to develop a basic perceptive of Scala, Flume, Sqoop, GraphX, among others.
With the help of this course, any person can understand the analogy and terminology about data ingestion using Sqoop and Flume are the two major components in Hadoop distributed file system interchangeably from RDBMS to HDFS. In this course, you will also go to learn the basics of Flume data capture and Sqoop data loading.
This course of Apache Spark and Scala training has been designed by our industry experts with an aim to provide benefits to every learner with the expertise and skills to become a qualified Apache Spark and Scala Developer.
Few Prerequisites you should have
Big data is a highly valuable skill and in order to gain proficiency in it, every learner should have basic and fundamental programming or scripting experience. It could be tough if you don’t have any programming knowledge.
You should have at least a pc and laptop with a minimum of 8 GB of RAM and 256 GB of SSD, these tools are a little heavy and it takes lots of time to load the content if you have an older system with basic configuration.
Although most people use the Windows operating system if you are the one who is comfortable with MAC OS and LINUX the tools and software would be the same along with the instructions.
Information in Big picture
Our course will teach you the latest technology in the big data discipline: Spark works better with scala and helps you to filter the gigabytes of data in less than a minute over Hadoop clusters.
EDUTECH Master provides you the opportunity to learn those techniques, using your own system right at home sitting on the chair, and wherever you want. This is the best way to learn things online and get expertise in concepts of Spark's Resilient Distributed Datasets, DataFrames, and Datasets.
By the end of this course, you'll be able to:-
Develop and run Spark jobs quickly using Scala, IntelliJ, and SBT
Translate complex analysis problems into iterative or multi-stage Spark scripts
Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, Machine Learning, and GraphX
Benefits of this course:
If you are a software engineer and want to enhance your knowledge and career in BIG Data then you must take this course.
If you are a student and have some programming or scripting experience, this course will help you to build a career in big data using apache and scala frameworks tool and development
