Apache Spark Training Overview

Apache Spark Training Course Outline

Module 1: Introduction to Apache Spark

  • What is Apache Spark?
  • Cluster Design
  • Cluster Management
  • Performance

Module 2: Apache Spark MLlib

  • Environment Configuration
  • Classification with Naive Bayes
  • Clustering with K-Means
  • Artificial Neural Networks (ANN)

Module 3: Apache Spark Streaming

  • Fault Tolerance
  • Apache Kafka
  • TCP Stream
  • Apache Flume

Module 4: Apache Spark SQL

  • SQL Context
  • DataFrames
  • Using SQL
  • User-Defined Functions
  • Using Hive

Module 5: Apache Spark GraphX

  • Environment
  • Neo4j Browser
  • Mazerunner for Neo4j

Module 6: Graph-Based Storage

  • Overview of Titan and TinkerPop
  • Installing Titan
  • Titan with HBase
  • Titan with Cassandra

Module 7: Spark Databricks

  • Installing Databricks
  • Databricks Menus
  • Account and Cluster Management
  • Notebooks and Folders
  • Jobs and Libraries
  • Databricks Tables
  • DbUtils Package

Module 8: Databricks Visualization

  • Data Visualization
  • REST Interface
  • Moving Data

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Who should attend this Apache Spark Training Course? 

This Apache Spark Course in the United States is designed for individuals who want to enhance their skills and knowledge in Big Data processing using Apache Spark. This course can benefit a wide range of professionals, including:

  • Data Scientists
  • Data Engineers
  • Software Developers
  • Database Professionals
  • Big Data Analysts
  • Technical Managers
  • Business Analysts

Prerequisites of the Apache Spark Training Course

There are no formal prerequisites for this Apache Spark Course. However, prior knowledge of Java programming would be beneficial.

Apache Spark Training Course Overview

Apache Spark has emerged as a vital tool for processing and analyzing large-scale datasets in the United States. With its widespread use in Data Engineering and Data Science, understanding Apache Spark is essential. This course offers a comprehensive exploration of Spark, shedding light on its significance in the modern data landscape enabling professionals to harness its potential for diverse applications.

Proficiency in Apache Spark is imperative for professionals across various domains, including Data Scientists, Data Engineers, and Big Data Analysts. The ability to work with Spark empowers individuals to handle massive datasets, perform real-time data processing, and derive actionable insights. Mastering Spark is the key to unlocking opportunities and enhancing career prospects in the data and analytics field.

This intensive 2-day course delivered by The Knowledge Academy in the United States equips delegates with the practical skills needed to leverage Apache Spark effectively. During the course, participants will gain hands-on experience in essential Spark components, including Spark SQL, Spark Streaming, and MLlib. They will also learn to build data pipelines, conduct real-time analysis, and optimize Spark applications for enhanced performance.

Course Objectives

  • To understand the fundamental concepts of Spark and its ecosystem
  • To gain proficiency in Spark SQL for querying structured data
  • To learn to process real-time data streams using Spark Streaming
  • To develop machine learning models with Spark's MLlib library
  • To create robust data pipelines for scalable data processing
  • To optimize Spark applications for improved performance
  • To apply Spark in practical projects to solve real-world problems

Upon completing the Apache Spark Certification Course in the United States, delegates will gain a comprehensive understanding of distributed data processing, enabling them to tackle big data challenges with efficiency and confidence.

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What’s included in this Apache Spark Training Course?

  • World-Class Training Sessions from Experienced Instructors   
  • Apache Spark Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Apache Spark Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Apache Spark Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

Apache Spark Training FAQs

Apache Spark is a high-speed open-source data processing framework used for big data tasks. It excels in batch processing, real-time streaming, machine learning, and graph processing. Its key feature is in-memory computing, making it fast and efficient for large-scale data analysis.
Apache Spark is faster and more versatile than Hadoop. It processes data in-memory, making it quicker for various workloads. Spark offers user-friendly data processing APIs and integrates with Hadoop for added flexibility.
Yes, Apache Spark is worth learning as it is a powerful, open-source distributed computing system that is widely used for Big Data processing, Machine Learning, and analytics.
Apache Kafka and Apache Spark serve different purposes; Kafka is a distributed event streaming platform, while Spark is a data processing engine. The choice depends on specific use cases, and they are often used together in big data architectures.
In this course, delegates will have 2-day intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
There are no formal prerequisites for attending this course. However, basic knowledge of SQL, databases, and query language will be beneficial for delegates.
The Apache Spark Certification Course is for data professionals, developers, and anyone interested in Big Data. Whether you're a beginner or an experienced pro, it's a valuable resource for learning how to work with large-scale data efficiently and effectively.
The Apache Spark Training is a 2-day course. Delegates engage in intensive learning sessions covering various aspects of this course.
An Online Apache Spark Certification Course provides flexible learning, access to resources, hands-on experience, and cost-effectiveness, making it a convenient and affordable way to gain expertise in big data processing.
While prior experience in Big Data or distributed computing is beneficial, many Apache Spark Courses are designed for beginners, providing step-by-step guidance. Basic programming knowledge is usually sufficient.
Apache Spark is utilized in careers such as Data Engineering, Data Analysis, and Machine Learning. Data Engineers process large datasets, Data Analysts explore and visualize data, and Machine Learning Engineers build models using Spark.
Completing Apache Spark Courses can unlock career opportunities as a Data Engineer, Data Scientist, or Big Data Analyst. Spark skills are in demand across various industries for processing and analyzing large-scale data efficiently.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking Apache Spark Certification Course.
The training fees for Apache Spark Training certification in the United States starts from $3195
The Knowledge Academy is the Leading global training provider for Apache Spark Training.
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Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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