Become an Expert Spark and Scala Professional
Master Machine learning programming techniques
with 100% Placement Assistance

  • 40 hrs of Classroom Sessions
  • 40 hrs of Practical assignments
  • 25 hrs of Live Project
  • Availability of highly Skilled Trainers
  • Industry Oriented Course curriculum
  • Free Wifi & Latest Study Material
  • Well equipped A/C rooms
  • Limited Batch Strength (Maximum 8)
  • Focus on hands on/practicals
  • Course Completion Certificate
  • Resume Preparation Support
  • Mock Interviews & Backup Classes
  • Doubt Clarification Support after the course
  • Regular Batch ( Morning, Day & Evening)
  • Weekend Training Batch ( Saturday & Sunday)
  • Fast Track batch

Questions ?



  1. What's in Apache Spark & Scala?

    Apache Scala : Scala is a high-level programming language which is a combination of object-oriented programming and functional programming.
    It is highly scalable which is why it is called Scala.

    Scala is a highly scalable programming language devised to the programming expressions in a precise and safe manner. It is
    named after its feature of ‘scalability’ which separates it from other programming languages. In a nutshell, Scala is a
    pure-bred object-oriented programming language inculcating the features of functional languages.
    Apache Spark : Apache Spark is a lightning-fast cluster computing technology, designed for fast computation. It is based on Hadoop MapReduce and it extends the MapReduce model to
    efficiently use it for more types of computations, which includes interactive queries and stream processing. The main feature of Spark is its in-memory
    cluster computing that increases the processing speed of an application.

    Spark is designed to cover a wide range of workloads such as batch applications, iterative algorithms, interactive queries and streaming. Apart from supporting
    all these workload in a respective system, it reduces the management burden of maintaining separate tools. .

  2. Why Apache Spark and Scala?

    Apache spark has excellent future growth and rapid adoption in today’s business world.Spark is admired for many reasons by developers and analysts to quickly query,
    analyze and transform data at scale. In simple words, you can call Spark a competent alternative to Hadoop, with its characteristics, strengths and limitations.

    Apache spark provides increased access to Big Data.The reason behind popularity spark is its versatility and diversity of use.

    Although a relatively newer entry to the realm, Apache Spark has earned immense popularity among enterprises and data Analysts within a short
    period. Apache Spark is one of the most active open source big data projects.

  3. Top Reasons to enroll for Data Science Training!

    For people who want to make a career on the forefront of big data technology, learning apache spark now will open up a lot of
    opportunities. There are several ways to bridge the skills gap for getting a data related jobs and finding a position as a Spark
    developer. The best way is to take a formal training that provides hands-on working experience and helps learning through hands on projects.
    There is a huge demand of skilled professionals in India. Job profiles such as apache spark developer,Data Scientist, Data Analyst,
    Big Data Engineer, Statistician are being largely hunted by companies. Not only they are being
    handsomely paid, but a career in big data domain has much more to promise.

What We Offer

40 Hrs Of Classroom Sessions

We deliver 40 classes highly interactive session. If you miss out a class, you can compensate by attending the session in a future batch.

40 Hrs Of Practical Assignments

Each module ends with a quiz and an assignment to test your practical knowledge and technical skills. you will master the essential skills such as Spark Streaming, Spark SQL, Machine Learning Programming, GraphX Programming, Shell Scripting Spark.. The assignments are aimed at giving you a clear cut idea of the concepts.

25 Hours Project Assignment

At the end of the course, you will be given a final project to polish the technology skills you have acquired with us. The course includes real-life, industry-based projects. Successful evaluation of project is a part of the Spark&Scala training.

In-depth and All-inclusive Curriculum

Team of professional who have good experience in Spark&Scala has checked our course curriculum in detail and approved it. We ensure to update and shape it every time to give the most in-depth course curriculum to our candidates.

Career Mentorship

Highlighting your skills in the right way can win you the right place. Our faculty will give proper guidance to you in creating a professional resume spotlighting your technical skills. They will also steer you through mock interviews and a winning career plan.

Spark&Scala Course Objective

    The key objectives of Spark and Scala training program are to enable developers to:
  1. Get clear understanding of the limitations of MapReduce and role of Spark in overcoming these limitations
    Understand fundamentals of Scala Programming Language and it’s features
    Explain & master the process of installing Spark as a standalone cluster
    Expertise in using RDD for creating applications in Spark
    Mastering SQL queries using SparkSQL
    Gain thorough understanding of Spark Streaming features
    Master & describe the features of Spark ML Programming and GraphX Programming

Know About your Trainer

  1. 10+ years of overall IT experience in a variety of industries, which includes hands on experience of 3+ years in Big Data Analytics and development.
    Expertize with the tools in Hadoop Ecosystem including Pig, Hive, HDFS, MapReduce, Sqoop, Storm, Spark, Kafka, Yarn, Oozie, and Zookeeper.
    Experience in designing and developing applications in Spark using Scala to compare the performance of Spark with Hive and SQL/Oracle
    Developed Spark scripts by using Scala shell commands as per the requirement.Used Spark API over Cloudera Hadoop YARN to perform analytics on data in Hive.
    Developed Scala scripts, UDFFs using both Data frames/SQL/Data sets and RDD/MapReduce in Spark 1.6 for Data Aggregation, queries and writing data back into OLTP system through Sqoop.
    Conducted trainings for Students and Corporates across Bangalore
    Strong interpersonal skills, ability to interact with people at all levels
    Trained over 200+ professionals in Spark and Scala,Data Science ,Big Data & Hadoop in various companies across different domains

our training process

Projects Developed by Our Students


  1. Do I need to know Hadoop to learn Apache Spark?

    No prior knowledge of Hadoop or distributing programming concepts is required to learn this Apache Spark course.

  2. What kind of Lab and Project exposure do I get?

    This course provides you with 40 hrs of Classroom Sessions,40 hrs of Practical assignments and 25 hrs of Live Project.
    You can run the lab exercises locally on your machine (installation docs will be provided).

  3. Who will be my faculty?

    At Codefrux we realize that there are very few people who are truly "Spark and Scala experts". So we take a lot of care to find only the best. Your faculty will be deeply technical and is currently working on a Data Science implementation for a large technology company. Students rate their faculty after every module and hence your faculty has grown through a rigorous rating mechanism with 65 data points.

  4. What are the career prospects of a Spark & Scala?

    Pinterst, Baidu, Alibaba Taobao, Amazon, eBay Inc, Hitachi Solutions, Shopify, Yahoo! are just some of the companies who are powered by Apache Spark. More companies are adopting Spark for faster data processing. Spark is one of the hottest skills to have right now for a high paying developer position.


    We assure that you will be properly armed for a lucrative career once you finish the course successfully.
    Assist you to create a spotless and professional resume highlighting your technical skills in Data Science
    Introduce you to mock interviews & frequently repeated interview questions
    Offer proper career guidance
    Inform on prospective employers and vacancies
    Phone-in schedule: A 30-minute phone call scheduled to clarify all your doubts
    Skype assistance: A vis-à-vis Skype session to run over your queries


    As you have a programming background like Java, C, C++ etc, we suggest you to go for the Data Sciene/Spark Scala/Hadoop Developer course for better career opportunities.

  7. What Kind Of Projects Will I Be Working On As Part Of The Training?

    We provide you with the opportunity to work on real time projects wherein you can apply your knowledge and skills that you acquired through our training. We have many projects that gives oppurtunity to apply your skills and knowledge learnt through our training program and make you industry ready.


    Data Sciene/Spark Scala/Hadoop Developer course will be the best choice for you if you have the basic knowledge of SQL.


    Yes. We have multiple offers for you. For details, please call to the following nos:


    Yes, you will get the required software in downloadable format from the link we provide.


    When it comes to clearing doubts, you can choose any of these two methods:
    o Direct clarification by the faculty during the class room session.
    o Contact the trainer who will answer your queries instantly.