Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
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
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5 Weeks Training
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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?
- 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
- 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
- Types and hierarchies
- Performance characteristics
- Java interoperability
- Using Scala implicits
- 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
- 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
- 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
- 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
- A brief introduction to graph theory
- GraphX
- VertexRDD and EdgeRDD
- Graph operators
- Pregel API
- PageRank
- 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
- Machine Learning MLlib
- K- Means Clustering
- Linear Regression
- Logistic Regression
- Decision Tree
- Random Forest
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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
- The main benefits of becoming Apache Spark with Scala Course certified include gaining a competitive edge in the job market, increased job opportunities, as well as increased wages and salary. Additionally, certified Apache Spark professionals often enjoy greater recognition and respect from their peers and employers. Additionally, mastery of Apache Spark and Scala programming languages can provide added job security due to high demand for highly skilled, certified professionals.
- The prerequisites for enrolling in the Apache Spark with Scala Certification Course include basic knowledge of Java or another object-oriented programming language, familiarity with databases and distributed computing concepts, and understanding of basic statistics. Previous experience with big data technologies, such as Apache Hadoop and/or Apache Spark, can also be beneficial.
- Data engineer,
- Data scientist,
- Software engineer,
- Machine-learning engineer,
- Big data analyst,
- Data architect
- Participants of an Apache Spark with Scala Course Training can expect to gain extensive hands-on experience with the technology, working through coding challenges in an interactive environment. Such experience is essential for mastering Apache Spark and ensuring successful job acquisition.
- The key benefits of taking an Apache Spark with Scala Course include gaining a deep understanding of distributed computing and big data related technologies, being able to apply the acquired knowledge to real-world projects, and improving your job prospects with an Apache Spark certification.
- The necessary skills that are required to succeed in an Apache Spark with Scala Course include a strong background in object-oriented programming language, a solid understanding of distributed computing concepts, knowledge of SQL, and experience with data sharding. Additionally, proficiency with Apache Hadoop and Apache Spark technologies is a plus.
- Yes, participants of an Apache Spark with Scala Course can learn the technology from scratch. All topics are taught from the basics to advance level.
- Yes, all participants of the Apache Spark with Scala Course will receive an official certification upon completion of the course. The certification is internationally recognized and highly regarded in the industry.
- Yes, Apache Spark with Scala Course is in high demand in the big data industry due to its numerous benefits and capabilities. Companies like Microsoft, Amazon and Google are looking to hire Apache Spark certified professionals to work on their big data projects.
- Apache Spark with Scala Course offers numerous advantages, including the ability to process large datasets quickly and efficiently, compatibility with multiple high-level programming languages, and the ability to run on a variety of hardware and distributed computing clusters. Additionally, Apache Spark is open source and has a vibrant community of developers and users.
Exam & Certification
- 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
- 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.

Pranav Srinivas
Software Testing, CapgeminiApache Spark with Scala Course FAQ's
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- 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.
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- View the class presentation and recordings that are available for online viewing.
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