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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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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Apache Spark with Scala Training Objectives
- The Apache Spark with Scala Course is based on the Scala language, which is a feature-rich, object-oriented, and type-safe programming language. The course is designed to help developers gain a deeper understanding of Apache Spark and Scala to write efficient and resilient big data applications.
- Apache Spark with a Scala Course is not overly difficult, although the material can be challenging in some areas. The key to success in the Apache Spark with Scala Course is to learn the fundamentals of Scala, Apache Spark, and big data development, and then apply them to write production-ready code.
- Yes, Apache Spark with Scala Course is becoming increasingly popular, and as a result, there is an increasing demand for skilled Apache Spark with Scala programmers in India. This, in turn, has resulted in an increased salary range for professionals with these skills.
- The Apache Spark with Scala Course covers a range of topics, including the fundamentals of Scala, Apache Spark APIs, the fundamentals of big data analytics, and the creation of resilient applications. In the exam, candidates will be assessed on their understanding of the topics covered in the course.
- Apache Spark with Scala courses are used in a variety of industries, such as healthcare, finance, e-commerce, and real estate. With its vast capabilities for data manipulation and analysis, Apache Spark and Scala are being used to generate meaningful insights and provide valuable solutions.
- Apache Spark with Scala Course is used for several reasons, such as its higher performance and speed compared to other big data technologies, resilience and scalability, and integration with machine learning tools. Apache Spark and Scala are used to create applications that are faster, more reliable, and more efficient.
- Yes, Apache Spark with Scala Course is an IT skill. This course teaches developers the necessary skills to create production-ready applications that process and analyze large amounts of data in real-time. This course is also used to understand advanced concepts of distributed system, data engineering, and distributed data processing to develop real-world solutions.
- Yes, the demand for Apache Spark with Scala Course is growing rapidly, as this technology provides powerful tools for data manipulation and analysis. As a result, more companies are investing in Apache Spark and Scala, which has further increased the demand for professionals with these skills.
- Yes, Apache Spark with Scala Course requires coding. This course teaches developers the fundamentals of Scala and Apache Spark, as well as how to write production-ready applications. Furthermore, it covers advanced topics such as distributed systems, data engineering, and distributed data processing.
- Apache Spark with Scala Course is used by developers across various industries, such as healthcare, finance, e-commerce, and real estate. Additionally, Apache Spark with Scala Course is used by professionals who work with big data and artificial intelligence-related technologies.
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.
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- 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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