Apache Spark with Scala Training in Toronto
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Our Apache Spark with Scala Certification Training Course in Toronto helps with comprehending Apache Spark’s internals, RDD, SparkSQL, Spark Streaming, MLlib, and GraphX. The framework will be mastered by students by the conclusion of the course with the help of several practise exercises and assignments. Students learn how to construct and modify RDDs in this course, as well as how to use the Spark API and Scala methods to obtain data from Spark.
Preview Course Video
- 40+ Hrs Hands On Training
- 2 Live Projects For Hands-On Learning
- 50 Hrs Practical Assignments
- 24/7 Students
Online Classroom Batches Preferred
25- Sep- 2023
Monday (Monday - Friday)
Weekdays Regular
08:00 AM (IST)
(Class 1Hr - 1:30Hrs) / Per Session
27- Sep- 2023
Wednesday (Monday - Friday)
Weekdays Regular
08:00 AM (IST)
(Class 1Hr - 1:30Hrs) / Per Session
23- Sep- 2023
Saturday (Saturday - Sunday)
Weekend Regular
11:00 AM (IST)
(Class 3hr - 3:30Hrs) / Per Session
23- Sep- 2023
Saturday (Saturday - Sunday)
Weekend Fasttrack
11:00 AM (IST)
(Class 4:30Hr - 5:00Hrs) / Per Session
Can't find a batch you were looking for?
₹21000
₹16000
10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Apache Spark with Scala Course Key Features 100% Money Back Guarantee
-
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
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Apache Spark with Scala Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ 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 Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Apache Spark with Scala technologies :
Syllabus of Apache Spark with Scala Online Course Download syllabus
- What is Big Data?
- Big Data Customer Scenarios
- What is Hadoop?
- Hadoop’s Key Characteristics
- Hadoop Ecosystem and HDFS
- Hadoop Core Components
- Rack Awareness and Block Replication
- YARN and its Advantage
- LHadoop Cluster and its Architecture
- Hadoop: Different Cluster Modes
- Why Spark is needed?
- What is Spark?
- How Spark differs from other frameworks?
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- What is Scala?
- Why Scala for Spark?
- Scala in other Frameworks
- Introduction to Scala REPL
- Basic Scala Operations
- Variable Types in Scala
- Control Structures in Scala
- Foreach loop, Functions and Procedures
- Collections in Scala- Array
- ArrayBuffer, Map, Tuples, Lists
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- Variables in Scala
- Methods, classes, and objects in Scala
- Packages and package objects
- Traits and trait linearization
- Java Interoperability
- Introduction to functional programming
- Functional Scala for the data scientists
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- Types and hierarchies
- Performance characteristics
- Java interoperability
- Using Scala implicits
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- Apache Spark installation
- Spark Applications
- The back bone of Spark – RDD
- Loading Data
- What is Lambda?
- Using the Spark shell
- Actions and Transformations
- Associative Property
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- What is RDD, Its Operations, Transformations & Actions
- Data Loading and Saving Through RDDs
- Key-Value Pair RDDs
- RDD Lineage
- RDD Persistence
- WordCount Program Using RDD Concepts
- RDD Partitioning & How It Helps Achieve Parallelization
- Passing Functions to Spark
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- Need for Spark SQL
- What is Spark SQL?
- Spark SQL Architecture
- SQL Context in Spark SQL
- User Defined Functions
- Data Frames & Datasets
- Interoperating with RDDs
- JSON and Parquet File Formats
- Spark – Hive Integration
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- Need for stream analytics
- Real-time data processing using Spark streaming
- Fault tolerance and check-pointing
- Stateful stream processing
- DStream and window operations
- Spark Stream execution flow
- Connection to various source systems
- Performance optimizations in Spark
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- A brief introduction to graph theory
- GraphX
- VertexRDD and EdgeRDD
- Graph operators
- Pregel API
- PageRank
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- Why Machine Learning?
- What is Machine Learning?
- Where Machine Learning is Used?
- Different Types of Machine Learning Techniques
- Introduction to MLlib
- Features of MLlib and MLlib Tools
- Various ML algorithms supported by MLlib
- Optimization Techniques
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- Machine Learning MLlib
- K- Means Clustering
- Linear Regression
- Logistic Regression
- Decision Tree
- Random Forest
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Apache Spark with Scala Training Objectives
- The Apache Spark with Scala Course is a comprehensive, hands-on certification program that aims to give you a comprehensive knowledge of Apache Spark and the Scala programming language. Through this course, you will learn the basics of big data and how Apache Spark can be used to process, analyze, and interact with large and disparate datasets. You will also gain a better understanding of the concepts, principles, and tools necessary to generate intelligent, data-driven business decisions.
- Apache Spark with Scala is a powerful tool used in modern data science. As a programming language, Scala has become increasingly popular due to its scalability and ability to handle large datasets. By taking an Apache Spark with Scala Course, you can become a powerful data scientist and learn to build, maintain, and analyze data-driven applications for the business world. You’ll gain an understanding of the development process, be able to interpret and test data sets, and know how to query and manipulate data.
- Understanding of distributed computing environment and the principles of it;
- Introduction to the Apache Spark platform and how to use it for data processing;
- Basics of the Scala programming language and how to use it to interact with Apache Spark;
- Analytics capabilities of Apache Spark and how to use them for data exploration;
- Using Scala to push business insights to the data and algorithms;
- Handling of large datasets using Apache Spark and Scala;
- Advanced topics like machine learning in Apache Spark.
- The primary goals of this Apache Spark with Scala Course are to provide students with in-depth knowledge of the Apache Spark platform, the Scala programming language, and the application of these tools for modern data science. Students will also be able to understand the functionality of distributed computing environments and how to interact with large datasets. They will be able to apply their knowledge of Scala and Apache Spark to build and maintain their own data-driven projects.
- Yes, this Apache Spark with Scala Course is a great way to prepare for the future with Big Data. Big Data has become a key part of many modern businesses. By taking this course, you will gain valuable skills that will be important for the future in a variety of areas like data analytics, data processing, and data mining.
- The opportunities available for those who complete this Apache Spark with Scala Course are quite extensive. Those completing this course may find themselves in positions like software developer, analyst, data engineer, solutions architect, and many more. Big Data is a booming industry and the demand for skilled professionals is always high.
- To learn Apache Spark with Scala Course, you should have a good understanding of basic programming concepts and be able to understand basic mathematics principles and functions. Prior exposure to programming languages like Python and SQL is also beneficial, but not required. Additionally, some courses may require prior knowledge of Apache Spark or the Scala programming language.
- The primary objectives of this Apache Spark with Scala Course is to provide learners with an in-depth knowledge of Apache Spark, the Scala programming language, and their application to modern data science. Through this course, students will learn to understand the architecture of distributed computing environments, be able to interact with large datasets, and use Apache Spark and Scala to build and maintain data-driven projects.
- An Apache Spark with Scala Course offers a range of advantages for those looking to build and maintain data-driven projects. It is an in-depth and comprehensive course that covers the topics of distributed computing, data analytics, data exploration, and machine learning. Additionally, it covers the basics of the Scala programming language and Apache Spark, which are essential tools for modern data science.
- After successfully completing this Apache Spark with Scala Course, learners are likely to find promising job opportunities in the field of data science. Learning this valuable skill gives them the ability to better analyze and understand complex datasets, push business insights forward, and become data-driven professionals.
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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 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 . 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 Path.
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
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- 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.
Vinoth P
UI Developer, TCS
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
Vijeyalakshme kannan
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.
Prasanna
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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- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- 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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