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 Certification Training course is offered by experienced professionals and offers a hands-on approach to learning the latest and most efficient big data processing engine. It is a comprehensive and fully accredited certification course providing deep coverage of the fundamentals, best practices, and processes of Apache Spark and Scala, giving your career a cutting-edge boost.
- The Apache Spark with Scala Certification Training is ideal for both beginners and experienced professionals who want to learn more about big data processing and the latest technologies used in the industry. This comprehensive certification program is essential for organizations that want to get the most out of their big data infrastructure and to use it most effectively. Additionally, it is necessary for those who are looking to advance their career or gain a competitive edge in the ever-evolving Big Data economy.
- On completion of the Apache Spark with Scala Certification Training program, you will gain skills in topics such as batch and streaming processing and analytics, distributed computing, data integration, machine learning and analytics, and Apache Spark API programming. Moreover, you will be well-versed in understanding data sets, data structures, data warehousing, real-time streaming, and developing intelligent distributed applications with Apache Spark and Scala frameworks.
- The main objectives of the Apache Spark with Scala Certification Training program are to equip learners with the knowledge, skills, and qualities necessary to become an expert Spark and Scala data scientist. Furthermore, the course also gives you a solid understanding of essential concepts and principles of big data. By the end of the course, you should be able to create intelligent applications, analyze large datasets, and effectively manage data.
- Yes, the Apache Spark with Scala Certification Training course is excellent for the future. By gaining this certification, you will be able to acquire an in-depth understanding of this rapidly growing technology and be more competitive in the job market. Moreover, you will be able to leverage your knowledge and skills to get better job opportunities, higher salary packages, and other career progression opportunities.
- Upon completion of the Apache Spark with Scala Certification Training certification, individuals can pursue careers in a wide range of industries, such as banking and finance, insurance, healthcare, information technology, retail, and government. Possible job titles include data scientist, data analyst, data engineer, big data engineer, software engineer, business analyst, data architect, and data engineer.
- The Apache Spark with Scala Certification Training course requires basic knowledge of java, sql, and object-oriented programming. Additionally, some proficiency in linux is recommended. An in-depth understanding of big data processing and analytics tools such as Hadoop, HDFS, and MapReduce is also necessary before starting the course.
- The main objectives of this course include helping learners gain an in-depth understanding of the fundamental concepts of Apache Spark and Scala. Furthermore, the course also focuses on helping learners become proficient in developing machine learning models for big data analysis, start coding on Apache Spark, and creating efficient and scalable applications with Scala APIs.
- The primary advantage of taking an Apache Spark with Scala Certification Training course is to gain recognition through a highly acclaimed and accredited certification. Additionally, the course also provides learners with the necessary skills and tools to become experts in big data processing and analytics. Moreover, obtaining the certification can open doors to career opportunities and higher salary packages.
- An Apache Spark with Scala Certification Training certification can help open avenues for career growth. The credentials you gain from the certification will help you stand out from other candidates and demonstrate your advanced training in big data processing and analytics. Furthermore, you can also use this certification to become a big data consultant and advance your career.
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
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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.

Pranav Srinivas
Software Testing, CapgeminiApache Spark with Scala Course FAQ's
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