Apache Spark With Scala Course in Online
Rated #1 Recognized as the No.1 Institute for Apache Spark with Scala Course in Online
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6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
Course Duration
45+ HrsLive Project
3 ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
10987+
Professionals Trained
9+
Batches every month
2567+
Placed Students
265+
Corporate ServedWhat You'll Learn
Understand the fundamentals of Apache Spark architecture and distributed data processing.
Learn Scala programming essentials to work effectively with Apache Spark’s APIs and libraries.
Develop and run Spark applications using RDDs, DataFrames, and Datasets for real-time data.
Master Spark SQL for querying structured data and integrating with various data sources.
Gain practical experience in data streaming and batch processing in the Apache Spark with Scala Course in Online.
Learn to optimize Spark jobs and handle large-scale data using performance tuning techniques.
Apache Spark with Scala Training Objectives
- Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools.
- Spark is written in Scala
- When you want to get the most out of a framework, you need to master its original language. Scala is not only Spark's programming language, but it's also scalable on JVM.
- Apache Spark is written in Scala and because of its scalability on JVM - Scala programming is most prominently used programming language, by big data developers for working on Spark projects.
- The performance achieved using Scala is better than many other traditional data analysis tools like R or Python.
- Apache Spark is a Big Data framework which is in high demand. Spark provides streaming as well as batch capabilities, making it one of the biggest revolutionary changes in the environment of Big Data processing. Hence, it is an ideal framework for people and organizations that are looking for speed data analysis.
- Learning this framework will help you climb up the ladder of your career as nowadays more and more companies are eager to adopt Spark in their system.
- Learn by examples
- Scala and Functional Programming for Beginners
- Scala and Spark for Big Data and Machine Learning
- Scalable programming with Scala and Spark
- Scala Advanced
- Basics of Hadoop file system
- Understanding of SQL concepts
- Basics of any Distributed Database
- Performing ETL or SQL batch jobs with large data sets
- Processing streaming, real-time data from sensors, IoT, or financial systems especially in combination with static data.
- Using streaming data to trigger a response
- Performing complex session analysis
- Machine Learning tasks
- Learning Spark is not difficult if you have a basic understanding of Python or any programming language, as Spark provides APIs in Java, Python, and Scala.
- You can take up this Spark Training to learn Spark from industry experts.
- Scala ecosystem is constantly growing. The number of great libraries and frameworks is amazing. Scala also supports new technologies like Data Science or Blockchain with its amazing tools.
- If you have your one favourite Java library you can easily adapt it to Scala's environment because Scala is running on JVM.
- Spark is kind of like every other language or framework.
- You can probably get something running on day 1 (or week 1 if it's very unfamiliar), you can express yourself in a naive manner in a few weeks, and you can start writing quality code that you would expect from an experienced developer in a month or two.
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Apache Spark with Scala Course Benefits
The Apache Spark with Scala Course in Online empowers learners to handle big data processing quickly and efficiently. You'll gain in-demand Spark, Scala, and real-time analytics skills, making you job-ready for top data roles. With hands-on projects, expert mentorship, and certification, this course opens doors to high-growth data engineering and analytics opportunities.
- Designation
-
Annual SalaryHiring Companies
About Your Apache Spark with Scala Certification Training
Our Apache Spark with Scala Course in Online offers an affordable route to mastering big data processing and real-time analytics. With expert-led sessions and hands-on projects, you’ll gain practical Spark, Scala, and distributed computing skills. Supported by 500+ hiring partners, we provide strong placement assistance to help you land top data engineering and analytics roles.
Top Skills You Will Gain
- Spark Fundamentals
- Scala Programming
- DataFrames Handling
- RDD Operations
- Spark Streaming
- SQL Integration
- Job Optimization
- Cluster Management
12+ Apache Spark with Scala Tools
Spark
Scala
Hadoop
Hive
Kafka
Zeppelin
Flume
Cassandra
HDFS
Sqoop
Airflow
IntelliJ
Online Classroom Batches Preferred
Weekdays (Mon - Fri)
16-June-2025
08:00 AM (IST)
Weekdays (Mon - Fri)
18-June-2025
08:00 AM (IST)
Weekend (Sat)
21-June-2025
11:00 AM (IST)
Weekend (Sun)
22-Jun-2025
11:00 AM (IST)
Can't find a batch you were looking for?
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₹16000
10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Why Apache Spark with Scala Course From Learnovita ? 100% Money Back Guarantee
Apache Spark with Scala Course Curriculam
Trainers Profile
Trainers are certified professionals with 12+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Apache Spark with Scala are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Syllabus of Apache Spark with Scala Course in Online Download syllabus
- 1. Overview of Hadoop
- 2. Architecture of HDFS & YARN
- 3. Overview of Spark version 2.2.0
- 4. Spark Architecture
- 5. Spark Components
- 6. Comparison of Spark & Hadoop
- 7. Installation of Spark v 2.2.0 on Linux 64 bit
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- 1. Exploring the Spark shell
- 2. Creating Spark Context
- 3. Operations on Resilient Distributed Dataset – RDD
- 4. Transformations & Actions
- 5. Loading Data and Saving Data
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- 1. Introduction to SQL Operations
- 2. SQL Context
- 3. Data Frame
- 4. Working with Hive
- 5. Loading Partitioned Tables
- 6. Processing CSV, Json ,Parquet files
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- 1. Introduction to Scala
- 2. Feature of Scala
- 3. Scala vs Java Comparison
- 4. Data types
- 5. Data Structure
- 6. Arrays
- 7. Literals
- 8. Logical Operators
- 9. Mutable & Immutable variables
- 10. Type interface
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- 1. Oops vs Functions
- 2. Anonymous
- 3. Recursive
- 4. Call-by-name
- 5. Currying
- 6. Conditional statement
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- 1. List
- 2. Map
- 3. Sets
- 4. Options
- 5. Tuples
- 6. Mutable collection
- 7. Immutable collection
- 8. Iterating
- 9. Filtering and counting
- 10. Group By
- 11. Flat Map
- 12. Word count
- 13. File Access
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- 1. Classes ,Objects & Properties
- 2. Inheritance
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- 1. Maven build tool implementation
- 2. Build Libraries
- 3. Create Jar files
- 4. Spark-Submit
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- 1. Overview of Spark Streaming
- 2. Architecture of Spark Streaming
- 3. File streaming
- 4. Twitter Streaming
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- 1. Overview of Kafka Streaming
- 2. Architecture of Kafka Streaming
- 3. Kafka Installation
- 4. Topic
- 5. Producer
- 6. Consumer
- 7. File streaming
- 8. Twitter Streaming
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- 1. Overview of Machine Learning Algorithm
- 2. Linear Regression
- 3. Logistic Regression
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- 1. GraphX overview
- 2. Vertices
- 3. Edges
- 4. Triplets
- 5. Page Rank
- 6. Pregel
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- 1. On-Off-heap memory tuning
- 2. Kryo Serialization
- 3. Broadcast Variable
- 4. Accumulator Variable
- 5. DAG Scheduler
- 6. Data Locality
- 7. Check Pointing
- 8. Speculative Execution
- 9. Garbage Collection
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- 1. Master – Driver Node capacity
- 2. Slave – Worker Node capacity
- 3. Executor capacity
- 4. Executor core capacity
- 5. Project scenario and execution
- 6. Out-of-memory error handling
- 7. Master logs, Worker logs, Driver logs
- 8. Monitoring Web UI
- 9. Heap memory dump
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Exam & Certification
At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training.
Online Classroom:
- Participate and Complete One batch of Apache Spark with Scala Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Apache Spark with Scala Certification course
- Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Apache Spark with Scala Training course. It helps you to prepare for the actual Apache Spark with Scala Certification exam. You can try this free Apache Spark with Scala Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Apache Spark with Scala Certification Path.
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Apache Spark with Scala Developers.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
It was a great learning experience. The trainer had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank Training & Placement Cell for the constant support
Vinoth P
UI Developer, TCS
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills.
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers. It is dream come true, being an IT engineer
Pranav Srinivas
Software Testing, Capgemini
My sincere appreciation & gratitude to the Training & Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
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SAP Admin, HCL
I am very thankful to the faculties of LearnoVita as they are very much supportive, helpful, and the Placement Cell which is also doing a great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
How are the Apache Spark with Scala Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Apache Spark with Scala Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical Apache Spark with Scala Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Apache Spark with Scala Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Apache Spark with Scala Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Apache Spark with Scala Certifications With Global Validity.
Basic Apache Spark with Scala Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
Additional Features
Lifetime Access to Apache Spark with Scala Course Materials, Alumni Network, and Hackathons.
No Additional Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
Apache Spark with Scala Course FAQ's
Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend, you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. A great learning experience is provided by all of these knowledgeable people at LearnoVita.
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and Apache Spark with Scala I exam centers, as well as an authorized partner of Apache Spark with Scala . Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Apache Spark with Scala .
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Apache Spark with Scala at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Apache Spark with Scala Service batch to 5 or 6 members.
The average annual salary for Apache Spark with Scala Professionals in India is 7 LPA to 8 LPA.
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