Apache Spark with Scala Training
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Learn Apache Spark with Scala Training Course with Certification from Experts. In this Apache Spark with Scala Online Training, you will learn the in-depth syllabus of Apache Spark with Scala Course which has all advanced modules. Our Apache Spark with Scala Online Course syllabus is designed to learn Apache Spark with Scala Course with practicals.
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- 40+ Hrs Hands On Training
- 2 Live Projects For Hands-On Learning
- 50 Hrs Practical Assignments
- 24/7 Students
Online Classroom Batches Preferred
22-11-2021
Monday (Monday - Friday)
Weekdays Regular
08:00 AM (IST)
(Class 1Hr - 1:30Hrs) / Per Session
24-11-2021
Thursday (Monday - Friday)
Weekdays Regular
08:00 AM (IST)
(Class 1Hr - 1:30Hrs) / Per Session
27-11-2021
Saturday (Saturday - Sunday)
Weekend Regular
11:00 AM (IST)
(Class 3hr - 3:30Hrs) / Per Session
27-11-2021
Saturday (Saturday - Sunday)
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Top Skills You Will Gain
- Big Data and the need for Spark
- Diving deep into Apache Spark
- Deploying Spark in different modes
- Deploying Spark in local mode
- Spark Streaming
- Demystifying Apache Spark
- Spark MLlib and Spark GraphX, Spark SQL
- Diving into Scala
Apache Spark with Scala Course Key Features 100% Money Back Guarantee
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5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry Apache Spark with Scala Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
Lifetime Access
To Self-placed Learning -
Placement Assistance
To Build Your Career
Top Companies Placement
- Designation
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Annual SalaryHiring Companies
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.
Pre-requisites
Those wishing to take the Apache Spark certification training course should have a fundamental knowledge of any programming language and a basic understanding of any database, SQL, and query language for databases. Working knowledge of Linux- or Unix-based systems is also beneficial.
Syllabus of Apache Spark with Scala Online Course 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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Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
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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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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.
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
Sandeep Kumar D
Software Engineer, Cisco Systems )
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.
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UI Developer, TCS
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QA Engineer, Amazon Development Center
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.
Pranav Srinivas
Software Testing, Capgemini
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.
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SAP Admin, HCLApache Spark with Scala Course FAQ's
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Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
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- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
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- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
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We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Apache Spark with Scala batch to 5 or 6 members
Learning Apache Spark with Scala can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Apache Spark with Scala. Mastering Apache Spark with Scala can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average Apache Spark with Scala Developer salary in India is ₹4,43,568 per annum.
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