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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 Visualisation
- Data Visualisation
- REST Interface
- Moving Data
Who should attend this Apache Spark Training Course?
This Apache Spark Training Course 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 analysing large-scale datasets efficiently. 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 this course 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.
The Knowledge Academy’s 2-day Apache Spark Course 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 optimise 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 optimise Spark applications for improved performance
- To apply Spark in practical projects to solve real-world problems
Upon completing the Apache Spark Course, delegates will gain a comprehensive understanding of distributed data processing, enabling them to tackle big data challenges with efficiency and confidence. Additionally, they will acquire valuable skills in data analytics, Machine Learning, and real-time data processing, making them highly sought-after professionals in the field of data engineering and data science.
What’s included in this Apache Spark Training Course?
- World-Class Training Sessions from Experienced Instructors
- Apache Spark Certificate
- Digital Delegate Pack
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.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
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 Training equips delegates with the skills to process large-scale data efficiently using distributed computing. It covers core concepts, including Spark architecture, RDDs, and advanced analytics, preparing professionals to leverage Spark for data engineering and big data projects.
The Apache Spark Course is ideal for Data Engineers, Software Developers, and IT Professionals looking to enhance their big data processing skills. It’s also suitable for analysts and anyone in data management seeking to leverage Spark’s capabilities.
The Apache Spark Course covers Spark architecture, Resilient Distributed Datasets (RDDs), data processing with Spark SQL, stream processing with Spark Streaming, machine learning with MLlib, and deploying Spark applications. It also explores advanced analytics and integration with Hadoop ecosystems.
There are no formal prerequisites for this Apache Spark Course. However, prior knowledge of Java programming would be beneficial.
Taking an Apache Spark Online Course offers the flexibility to learn at your own pace, access to expert-led content, and practical exercises to reinforce learning. It enhances your ability to handle big data projects, improving your career prospects in data engineering and analytics.
To become an expert in Apache Spark, start by gaining a strong understanding of its core concepts through structured courses. Practice extensively by working on real-world big data projects, contribute to open-source Spark communities, and stay updated with the latest advancements in the Spark ecosystem.
Apache Spark experts earn between £50,000 to £80,000 annually in Canada, depending on experience, location, and industry demand.
Yes, Python (using PySpark) is sufficient for most Spark applications, especially for data processing and machine learning tasks.
The best language for Apache Spark is often considered Scala, as Spark is written in Scala and offers the most comprehensive API support. However, Python is also popular due to its ease of use and extensive libraries, especially for data science tasks.
In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
This course takes 2 days to complete, during which delegates participate in intensive learning sessions that cover various course topics.
Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues.
In this Apache Spark Training, you will learn how to efficiently process and analyse large datasets using Spark’s core components, including Spark SQL, Spark Streaming, and MLlib. You'll gain practical skills in distributed computing, data processing, and implementing advanced analytics with Spark.
After completing the Apache Spark Training, your next steps include applying your skills to real-world projects, seeking roles in data engineering or big data analytics, and pursuing advanced certifications to deepen your expertise. Engaging with the Spark community and staying current with industry trends will also enhance your career growth.
Yes, delegates will receive an Apache Spark certificate upon completing this course.
Yes, you will have access to the course materials even after completing the training, allowing you to revisit the content, reinforce your learning, and apply the knowledge in your professional endeavours.
You will receive The Knowledge Academy’s course completion certificate.
To register for the course, visit The Knowledge Academy's website, navigate to the course page, and click the registration button. Fill in the required details, select your preferred schedule, and complete the payment process.
After completing the Apache Spark Course, you can expect job opportunities in roles such as Data Engineer, Big Data Developer, Data Analyst, and Machine Learning Engineer. These roles typically involve working on big data projects, processing large datasets, and implementing scalable data solutions using Spark.
The Knowledge Academy in Canada 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 this course.
The training fees for Apache Spark Trainingin Canada starts from CAD4295
The Knowledge Academy is the Leading global training provider for Apache Spark Training.
Please see our Big Data and Analytics Training courses available in Canada
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Best price in the industry
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"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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