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Getting started with Apache Spark, Scala and HDInsight Course Overview

Getting started with Apache Spark, Scala and HDInsight Course Overview

Discover the transformative power of Apache Spark, Scala, and HDInsight with our intensive 5-day course. Designed for individuals with a basic understanding of any programming language, this course will guide you through the essentials of big data analytics. You'll learn how to harness the capabilities of Scala programming and dive deep into Apache Spark for robust data processing. Explore the integration of these tools with Azure HDInsight and gain hands-on experience in building real-time analytics pipelines, ensuring security and compliance. By the end of this course, you'll possess the skills to implement scalable data solutions and optimize big data systems for various business needs.

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  • Live Training (Duration : 40 Hours)
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Target Audience for Getting started with Apache Spark, Scala and HDInsight

This comprehensive 5-day course on Apache Spark, Scala, and HDInsight is designed for professionals looking to advance their skills in big data processing and analytics, focusing on real-time applications and cloud integration.


  • Data Engineers
  • Big Data Analysts
  • Software Developers
  • Data Scientists
  • Cloud Solutions Architects
  • IT Professionals with programming experience
  • System Administrators
  • Technical Leads and Managers
  • DevOps Engineers
  • Business Intelligence Analysts
  • IT Consultants looking to enhance their portfolio


Learning Objectives - What you will Learn in this Getting started with Apache Spark, Scala and HDInsight?

Introduction
The "Getting Started with Apache Spark, Scala, and HDInsight" course aims to equip students with essential skills in big data processing and analytics. Participants will explore key technologies including Scala, Apache Spark, and Azure HDInsight for data engineering and real-time analytics.

Learning Objectives and Outcomes

  • Understand the fundamentals of big data and its role in the modern business landscape.
  • Gain proficiency in Scala programming, focusing on functional and object-oriented paradigms.
  • Master the core concepts of Apache Spark, including RDDs, DataFrames, and Datasets.
  • Learn to process real-time data using Spark Streaming and integrate with technologies like Kafka and Cassandra.
  • Develop skills in machine learning and graph processing with Spark's MLlib and GraphX.
  • Become adept at tuning Spark applications for performance enhancements.
  • Explore the capabilities of Azure HDInsight for managing big data clusters.
  • Implement secure data processing solutions and ensure compliance with data privacy laws.
  • Integrate HDInsight with other Azure services including Azure Data Lake Storage, Data Factory, and Event Hubs.
  • Undertake a comprehensive data engineering project using Apache Spark to consolidate learning.

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