Apache Spark and Scala Course Details

ZX Academy's online Apache Spark and Scala online Training offers a comprehensive path to mastery in the Apache Spark framework and Scala programming language, specifically designed for big data processing and analytics. Taught by experienced professionals, this program covers all the essential concepts and hands-on experiences required to become proficient in Splunk development and administration.

Join us on a learning journey guided by skilled instructors. What sets ZX Academy's course apart is its emphasis on practical application. With this online training opportunity, you will be well-prepared for a rewarding career in the data-driven technology field.

Course Highlights:

Apache Spark Basics: Dive into the heart of Apache Spark, exploring foundational topics like data handling, distributed systems, and data transformations.

Scala Coding: Become adept at Scala, a robust yet succinct language, ideal for crafting Apache Spark applications.

Data Handling: Master the art of processing and analyzing vast datasets with Apache Spark, focusing on ETL processes.

Spark's Machine Learning: Delve into the machine learning modules and methods in Apache Spark for forward-thinking analytics.

Real-Time Data Streams: Grasp the real-time data processing and streaming prowess of Apache Spark, perfect for diverse uses like IoT and event handling.

Data Display: Hone your skills in crafting visualizations and summaries to convey findings effectively.

Performance Enhancement: Discover techniques to fine-tune Apache Spark tasks, boosting data processing efficiency.

Practical Assignments: Cement your understanding with hands-on projects in Apache Spark and Scala.

Who Should Take the Apache Spark and Scala Certification Training?

Our Apache Spark and Scala Certification online Training is suitable for the following:

  • Software Developers
  • Data Engineers
  • Data Analysts
  • Big Data Enthusiasts
  • IT Professionals
  • Professionals looking to enhance their big data and analytics skills

What Knowledge Will You Acquire in the Apache Spark and Scala Certification Training?

ZX Academy's certification in Apache Spark and Scala offers a holistic insight into big data handling and analysis. You'll delve into:

  • Core principles of Apache Spark, including data handling, distributed systems, and cluster oversight.
  • Scala's prowess in crafting efficient Apache Spark apps.
  • Techniques to process and interpret vast datasets using Apache Spark, emphasizing ETL processes.
  • Machine learning methods in Spark for futuristic analytics.
  • Real-time data handling via Apache Spark.
  • Crafting visualizations and summaries for clear insight communication.
  • Methods to boost Apache Spark task efficiency.

Why Should You Go for the Apache Spark and Scala Certification Training?

ZX Academy’s Apache Spark and Scala Certification Training offers several benefits, including:

Career Progression: Equip yourself for a prosperous career in the sought-after domain of big data and analytics.

Valuable Skills: Master Apache Spark and Scala, making you a prized professional in the big data era.

Practical Exposure: Gain tangible skills via hands-on sessions and real-world assignments, bolstering your big data analysis confidence.

Edge Over Peers: Stay ahead in the tech realm by mastering a pivotal tool for big data analysis.

What Are the Prerequisites for Taking the Apache Spark and Scala Certification Training?

ZX Academy ensures the course is inclusive. While a background in programming can be advantageous, there are no strict entry conditions. This makes it ideal for novices and seasoned pros eager to enhance their big data acumen.

Salary Trends:

The average salary of a Spark Scala Developer in the United States is $114,725 per year and ₹8,53,160 per year in India, according to Glassdoor.

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Apache Spark and Scala Curriculum

What is Big Data?
Big Data Customer Scenarios
What is Hadoop?
Hadoop’s Key Characteristics
Hadoop Ecosystem and HDFS
Hadoop Core Components
Rack Awareness and Block Replication
YARN and its Advantage
Hadoop Cluster and its Architecture
Hadoop: Different Cluster Modes
Big Data Analytics with Batch & Real-time Processing
Why Spark is needed?
What is Spark?
How Spark differs from other frameworks?

What is Scala?
Why Scala for Spark?
Scala in other Frameworks
Introduction to Scala REPL
Basic Scala Operations
Variable Types in Scala
Control Structures in Scala
Foreach loop, Functions and Procedures
Collections in Scala- Array
ArrayBuffer, Map, Tuples, Lists, and more

TVariables in Scala
Methods, classes, and objects in Scala
Packages and package objects
Traits and trait linearization
Java Interoperability
Introduction to functional programming
Functional Scala for the data scientists
Why functional programming and Scala are important for learning Spark?
Pure functions and higher-order functions
Using higher-order functions
Error handling in functional Scala
Functional programming and data mutability

Scala collection APIs
Types and hierarchies
Performance characteristics
Java interoperability
Using Scala implicits

Introduction to data analytics
Introduction to big data
Distributed computing using Apache Hadoop
Introducing Apache Spark
Apache Spark installation
Spark Applications
The back bone of Spark – RDD
Loading Data
What is Lambda
Using the Spark shell
Actions and Transformations
Associative Property
Implant on Data
Persistence
Caching
Loading and Saving data

Challenges in Existing Computing Methods
Probable Solution & How RDD Solves the Problem
What is RDD, Its Operations, Transformations & Actions
Data Loading and Saving Through RDDs
Key-Value Pair RDDs
Other Pair RDDs, Two Pair RDDs
RDD Lineage
RDD Persistence
WordCount Program Using RDD Concepts
RDD Partitioning & How It Helps Achieve Parallelization
Passing Functions to Spark

Need for Spark SQL
What is Spark SQL?
Spark SQL Architecture
SQL Context in Spark SQL
User Defined Functions
Data Frames & Datasets
Interoperating with RDDs
JSON and Parquet File Formats
Loading Data through Different Sources
Spark – Hive Integration

Why Machine Learning?
What is Machine Learning?
Where Machine Learning is Used?
Different Types of Machine Learning Techniques
Introduction to MLlib
Features of MLlib and MLlib Tools
Various ML algorithms supported by MLlib
Optimization Techniques

Supervised Learning - Linear Regression, Logistic Regression, Decision Tree, Random Forest
Unsupervised Learning - K-Means Clustering
Machine Learning MLlib
K- Means Clustering
Linear Regression
Logistic Regression
Decision Tree
Random Forest

Need for Kafka
What is Kafka?
Core Concepts of Kafka
Kafka Architecture
Where is Kafka Used?
Understanding the Components of Kafka Cluster
Configuring Kafka Cluster
Kafka Producer and Consumer Java API
Need of Apache Flume
What is Apache Flume?
Basic Flume Architecture
Flume Sources
Flume Sinks
Flume Channels
Flume Configuration
Integrating Apache Flume and Apache Kafka

Apache Spark Streaming: Data Sources
Streaming Data Source Overview
Apache Flume and Apache Kafka Data Sources
Hands-on:
Perform Twitter Sentimental Analysis Using Spark Streaming

A brief introduction to graph theory
GraphX
VertexRDD and EdgeRDD
Graph operators
Pregel API
PageRank

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Projects on Apache Spark and Scala

Here are some of the projects you will undertake during the Apache Spark and Scala Certification Training:

Big Data Processing and Analysis:

Project Objective- Develop a big data processing and analysis project using Apache Spark and Scala. This project involves processing and analyzing large datasets, demonstrating your proficiency in handling big data.

Skills to Learn- You will acquire skills in data transformation, ETL processes, and utilizing Apache Spark's distributed computing capabilities. The project will also emphasize performance optimization in big data processing.

Machine Learning for Predictive Analytics:

Project Objective- Develop a machine learning project using Apache Spark, demonstrating your skills in predictive analytics. This project involves building and deploying machine learning models for data-driven insights.

Skills to Learn- You will explore machine learning libraries and techniques within Apache Spark, including data preprocessing, model training, and model evaluation for predictive analytics.

Real-time Data Processing Application:

Project Description- Develop a real-time data processing application using Apache Spark and Scala. This project will involve ingesting streaming data from various sources, processing it in real time, and visualizing the results.

Skills to Learn- This project teaches students how to work with Spark Streaming, handling real-time data streams, data transformation, and creating interactive data visualizations for monitoring and analysis.

Project Resources

Apache Spark and Scala Certification

An Apache Spark and Scala Certification formally recognizes your expertise in big data processing and analytics using Apache Spark and Scala. It can significantly enhance your career by showcasing your competence to potential employers, leading to better job opportunities and increased earning potential in the field of big data.

To prepare for the Apache Spark and Scala Certification exam, consider these steps:
Comprehensive Study- Utilize various study resources, including official documentation, online courses, textbooks, and practice exams, to deepen your understanding of Apache Spark and Scala.
Hands-On Experience- Gain practical experience by working on real projects that involve big data processing and analytics.
Mock Exams- Take advantage of practice exams and mock tests to assess your readiness and identify areas that require further study.

Upon successfully completing ZX Academy's Apache Spark and Scala Certification Training, you will be well-prepared to pursue an Apache Spark and Scala Certification. Our course equips you with the knowledge and skills required to pass the certification exam.

ZX Academy is committed to providing comprehensive support to our learners, including career assistance and job placement support for graduates of our Apache Spark and Scala Certification Training. We understand that your success extends beyond completing the program, and we're dedicated to helping you make the most of your certification.

Upon enrollment with ZX Academy, you will gain access to our online learning platform, where you can access video lectures, course materials, hands-on exercises, and additional resources related to the Apache Spark and Scala Certification Training.

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Faq’s for Apache Spark and Scala

Our Apache Spark and Scala Certification Training is delivered online, offering flexibility to learners. The course includes video lectures, hands-on exercises, assignments, and instructor support for guidance.

The duration of the Apache Spark and Scala Certification Training at ZX Academy varies based on individual learning pace. Usually, learners can complete the program in a few weeks to a few months, depending on the depth of the curriculum and personal progress.

While free introductory resources related to Apache Spark and Scala may be available, our complete certification training usually comes at a cost. We recommend checking ZX Academy’s website for ongoing offers or trial periods.

Yes, upon successfully completing the Apache Spark and Scala Certification Training, you will receive a certificate validating your expertise in Apache Spark and Scala development.

Yes, our online Apache Spark and Scala Certification Training is accessible to participants worldwide, making it suitable for international learners.

Reviews

Apache Spark and Scala rated (5.0 / 5) based on 1 reviews.

Sandy Flaieh

5
I’m really thankful to zx academy for helping me complete Apache Spark and Scala course with ease and this helped me find a job. Excellent course and totally satisfied with the study materials and online videos which help me to understand the topic properly.

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