Online | Self-Paced | Corporate
Apache Spark and Scala Training
Apache Spark and Scala training by Tekslate will help you master the advanced concepts of Apache Spark open source framework and the Scala programming language, which includes Spark Streaming, Spark SQL, machine learning programming, GraphX programming, Shell Scripting Spark, etc., through real-world examples. You will also be allowed to work on the real-time implementation of Apache Spark and Scala projects under the guidance of a Certified Instructor. Our training will develop your skill sets and advance your career as a CCA Spark and Hadoop Developer.
Curriculum
A complete index of
job-ready skills curated
to meet the industrial need.
Explore.
Introduction to Scala
Scala foundation
Features of Scala
Setup Spark and Scala on Ubuntu and Windows OS
Install IDE's for Scala
Run Scala Codes on Scala Shell
Understanding Data types in Scala
Implementing Lazy Values
Control Structures
Looping Structures
Functions
Procedures
Collections
Arrays and Array Buffers
Map's, Tuples and Lists
Object-Oriented Programming in Scala
Implementing Classes
Implementing Getter & Setter
Object & Object Private Fields
Implementing Nested Classes
Using Auxilary Constructor
Primary Constructor
Companion Object
Apply Method
Understanding Packages
Override Methods
Type Checking
Casting
Abstract Classes
Functional Programming in Scala
Understanding Functional programming in Scala
Implementing Traits
Layered Traits
Rich Traits
Anonymous Functions
Higher Order Functions
Closures and Currying
Performing File Processing
Foundation to Spark
Spark Shell and PySpark
Basic operations on Shell
Spark Java projects
Spark Context and Spark Properties
Persistence in Spark
HDFS data from Spark
Implementing Server Log Analysis using Spark
Working with Resilient Distributed DataSets (RDD)
Understanding RDD
Loading data into RDD
Scala RDD, Paired RDD, Double RDD & General RDD Functions
Implementing HadoopRDD, Filtered RDD, Joined RDD
Transformations, Actions and Shared Variables
Spark Operations on YARN
Sequence File Processing
Partitioner and its role in Performance improvement
Spark Eco-system - Spark Streaming & Spark SQL
Introduction to Spark Streaming
Introduction to Spark SQL
Querying Files as Tables
Text file Format
JSON file Format
Parquet file Format
Hive and Spark SQL Architecture
Integrating Spark & Apache Hive
Spark SQL performance optimization
Implementing Data visualization in Spark
We have made a tailored curriculum covering the latest industry-ready concepts to serve every individual’s learning desires.
We bring you the best learning experience by delivering all our training sessions practical. Following are the few use cases we shall discuss during the training.
1. What are the Apache Spark and Scala course objectives?
After the successful completion of Apache Spark and Scala training at Tekslate, the participant will be able to
Gain knowledge on the fundamentals of the Scala programming language, and its features.
Work with Resilient Distributed Datasets (RDD) for creating applications in Spark.
Master Structured Query Language (SQL) using SparkSQL.
Get an overview of the features of Spark ML programming and GraphX programming.
Understand Flume and its components.
Integrate Kafka with real-time streaming systems like Flume.
2. Why should you learn Apache Spark and Scala?
Currently, there are numerous job opportunities available for Apache Spark and Scala professionals worldwide.
Certified Apache Spark and Scala professionals are earning more salaries compared to other technology professionals.
The average salary of an Apache Spark and Scala professional is 133,184 USD per annum.
3. Who should attend Apache Spark and Scala training?
The following job roles will get benefited from learning this course:
BI /ETL/DW Professionals
Senior IT Professionals
Testing Professionals
Mainframe Professionals
Freshers
Big Data Enthusiasts
Software Architects, Engineers and Developers
Data Scientists and Analytics Professionals
4. What are the prerequisites for learning Apache Spark and Scala?
There are no specific prerequisites for learning Apache Spark and Scala course. This course can be pursued regardless of learners’ skills.
5. What projects are included in this Apache Spark and Scala training course?
We will provide two real-time projects under the guidance of a professional trainer, who will explain to you how to acquire in-depth knowledge on all the concepts involved in these projects.
We got solutions for everyone looking for an AWS Architect course. Opt in for your convenient upgrade option, and we will guide you through.
Duration |
One-on-one Session |
Support |
Resources |
Time |
Fee |
Live Online. |
30 Hours |
Yes |
24x7 |
Additional tips from the trainer |
30 July 2024, 07:00 AM 03 August 2024, 08:00 AM |
Self-Paced |
30 Hours |
No |
Weekdays & Working Hours |
Accessible through LMS |
At your convenience |
Schedules Doesn't Suit You ?
Our Team can set up a batch at your convinient time.
Customized training options
Tailored curriculum to fit your project needs.
Practical exposure is assured.
We have got everything covered for any IT upgrade for your organization. We are one click away.
Have questions? We’ve got the answers. Get the details on how you can grow in this course.
1. Who are the trainers?
Our trainers are well experienced professionals and certified in working with front-end development technologies.
2. What if I miss a class?
We will record all the Live sessions you go through, and we will send the recording of the class you missed.
3. How will I execute the practical?
For practical execution, our trainer will provide server access to the student.
See if this course is a fit for you by joining us for an online info session. You’ll meet our team, get an overview of the curriculum and course objectives, and learn about the benefits of being a student at Tekslate
1/15