The Apache Spark and Scala Certification Training Course equips learners with the skills needed to build and manage big data applications using Spark and Scala. Tailored for data engineers, software developers, and analytics professionals, this training provides hands-on experience with real-time data processing, distributed computing, and functional programming in Scala. Completing this course positions you for top roles in big data engineering and analytics.

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Instructor led live online Classes

Apache Spark and Scala Certification Training Course

Instructor led live online Training (Weekday/Weekend)

Why Enroll in the Apache Spark and Scala Training Course?

In-Demand Skills: Learn to work with Apache Spark Core, Spark SQL, Spark Streaming, and Spark MLlib.
Boost Career Opportunities: Become proficient in technologies widely used in data processing and analytics.
Hands-On Projects: Practice with real-world data and Spark clusters.
Comprehensive Curriculum: Covers Scala basics, Spark architecture, and advanced components.
Industry-Recognized Certification: Validate your skills in a leading big data framework.

Course Description

This course teaches you to develop distributed data processing applications using Apache Spark with the Scala programming language, focusing on both real-time and batch data handling.

1. Data Engineers and Developers handling large datasets. 2. Big Data Professionals moving from Hadoop/MapReduce. 3. Analysts and Software Engineers entering big data fields.

1. Includes hands-on labs, real-time projects, and practical scenarios. 2. Prepares for certification exams and job readiness. 3. Offers expert mentoring and technical support.

What you'll learn

Scala Fundamentals: Functional programming, object-oriented features, and collections.

Spark Core & RDDs: Transformations, actions, and SparkContext usage.

Spark SQL: Querying structured data using SQL and DataFrames.

Spark Streaming: Handling real-time data with DStreams.

Spark MLlib: Building scalable machine learning applications.

Project Implementation: Real-time data processing and analytics use cases.

Requirements

Basic Programming Skills: Preferably in Java, Python, or Scala.
Familiarity with Big Data Concepts is helpful but not mandatory.

Curriculum Designed by Experts

Evolution from MapReduce to Spark
Spark architecture and ecosystem overview

Syntax, functions, and data structures
OOP and functional programming in Scala

Creating and manipulating RDDs
Lazy evaluation and lineage

DataFrame APIs and SQL operations
Integration with Hive and JSON

DStream operations and windowing
Integrating data sources like Kafka

Classification, regression, clustering models
Model training and evaluation

Real-world data processing application
Mock tests and resume guidance

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Apache Spark and Scala Certification Training Course

Read Review

Instructor led live online Classes

Apache Spark and Scala Certification Training Course