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Spark Training

Apache Spark is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. Benefits of Spark includes Speed, Ease of access and being a unified Engine Spark comes packaged with higher-level libraries, including support for SQL queries, streaming data, machine learning and graph processing. If you have large amounts of data that requires low latency processing that a typical MapReduce program cannot provide, Spark is the way to go.

Certification Training Key Features

  • 36 Hrs Instructor-Led Training
  • Equal Hours Of Practical Sessions
  • Spark Authorized Global Certification
  • Learn From Working Professionals
  • Job Assistance
  • Resume Modification
  • Lifetime Support
  • Mentor Support
  • In-depth Knowledge Of Each Module
  • Hands-on Exposure
  • Mock Interviews
  • Global Certification Preparation
  • Placement Calls - Unlimited

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    Spark Training

    Apache Spark is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. Benefits of Spark includes Speed, Ease of access and being a unified Engine Spark comes packaged with higher-level libraries, including support for SQL queries, streaming data, machine learning and graph processing. If you have large amounts of data that requires low latency processing that a typical MapReduce program cannot provide, Spark is the way to go.

    Course Duration : 45 - 50 Hours

    • 45 Hours extensive Training
    • Video recording of the sessions
    • 70% Practical and 30% Theory
    • Live Industry Oriented Scenarios
    • Life time free Software
    • Study Material, Question Bank
    • Interview Questions, Scenario assignment
    • Live Project
    • Resume Modification – Convert existing experience to show upto 3 years of Spark and Hadoop Experience
    • 100% Job assistance
    • Assured Global Informatica Certification
    • Over 10,200 Candidates trained via Classroom, Corporate and Online Training’s.
    • Work on real time scenarios as faced in the MNC’s.
    • Work on real time Data
    • Learn from Experienced professionals working as Technical Lead and Managers in MNC.
    • Attend free Demo and decide
    • 24*7 Support via chat, mobile and Email.
    • Get help in Global Certification.
    • Get Study material, Interview Questions, Software
    • Individual Resume update
    • 100% Job Assistance.
    • Fresher’s those who wish to start a great career in Data Analytics
    • Experienced professionals not satisfied with current job profile
    • Business Analyst for the Technical touch
    • Manager’s for handling the team
    • Freelancer, for doing own development
    • 4.2 years of experience in Big Data Analytics, ETL, Data Warehousing.
    • Solid experience in Hadoop related technologies like Pig, Hive, Sqoop, Oozie and big data testing.
    • Good Knowledge of Hadoop Architecture and MapReduce programming.
    • Hands on experience with Apache Spark Machine Learning and Core (Batch processing).
    • Good knowledge in JAVA programming language and SQL.
    • Good experience in writing R and Python (PySpark) code.
    • Hands on experience in using regression and classification algorithms.
    • Hands on experience in creating Tableau Reports with Tableau Desktop.

    Courses Offered

    When we talk about modern Big data processing, the first thing which comes to mind is Spark. Spark is a very popular tool which can help you in transforming millions or billions of records in a very effective way. Spark is said to be 10 to 100 times faster as compared to old processing frameworks like Map Reduce .
    Spark is General purpose which means you can perform various things by using one way of writing code it is plug and play processing framework which you can plug with any storage (HDFS, Azure Blob, S3) and resource manager like YARN ,MESOS
    The general part means that it can be used for multiple things like running distributed SQL, creating data pipelines, ingesting data into a database, running Machine Learning algorithms, working with graphs or data streams and much more
    Spark is traditionally built in Scala and can support python as well however after Spark 2 dataframe and Spark Sql is very popular which is more or less writing code in SQL way with a lot of performance gain.

    Spark Feature:

    1. Fast processing – The most important feature of Apache Spark that has made the big data world choose this technology over others is its speed. Big data is characterized by volume, variety, velocity, and veracity which needs to be processed at a higher speed. Spark contains Resilient Distributed Dataset (RDD) which saves time in reading and writing operations, allowing it to run almost ten to one hundred times faster than Hadoop.

    2. Flexibility – Apache Spark supports multiple languages and allows the developers to write applications in Java, Scala, R, or Python.

    3. In-memory computing – Spark stores the data in the RAM of servers which allows quick access and in turn accelerates the speed of analytics.

    4. Real-time processing – Spark is able to process real-time streaming data. Unlike MapReduce which processes only stored data, Spark is able to process real-time data and is, therefore, able to produce instant outcomes.

    5. Integration – Integrates well with the Hadoop ecosystem and data sources (HDFS, Amazon S3, Hive, HBase, Cassandra, etc.)

    6. Better analytics – In contrast to MapReduce that includes Map and Reduce functions, Spark includes much more than that. Apache Spark consists of a rich set of SQL queries, machine learning algorithms, complex analytics, etc. With all these functionalities, analytics can be performed in a better fashion with the help of Spark.

    Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix , Microsoft etc. The demand has been ever increasing day by day. The Spark market revenue is zooming fast and may grow up to $4.2 billion by 2022, with a cumulative market valued at $9.2 billion (2019 – 2022).
    Many organizations run Spark on clusters with thousands of nodes. According to the Spark FAQ, the largest known cluster has over 8000 nodes
    It’s evident that Spark is a technology well worth taking note of and learning about. We Have a well structure course which can make you master in spark starting from RDD way of Working , Dataframe , Dataset , Spark Sql , streaming concept and various optimization in spark in code as well as cluster level along with that we are offering highlight of Big data tools like Hadoop, Hive, Sqoop, Kafka which will be very helpful in your data engineering journey along with spark.
    We have divided our course in various modules and once you finish these modules you will be industry ready and able to take any opportunities in the field of Spark Developer and Big Data engineer with Spark.

    What we offer:

    1) Big Data Basics:
    Understanding of Big Data and its Echosystem
    Distributed computing
    Hadoop and its usecase
    Sqoop
    Hive
    Hbase

    2) Spark and Scala Basics – :
    Scala basics,
    Loop,conditional statement,
    Functions
    Class
    Data type – list, struct, Map
    Spark Introduction
    Spark Use case
    MR VS Spark
    HIve and Spark working

    3) Spark Advance 1:
    RDD
    Spark Low level coding
    Installation of Spark , Scala, Eclipse
    Hands on with Spark RDD
    Word count with Spark -RDD
    File formats in Spark  -Parquet, ORC, Avro
    Spark Transformation and Action
    Spark Optimization – Partitioning , Bucketing , Joins
    Broadcast join vs SMB Join

    4) Spark Advance 2:
    Spark Advance level Optimization
    Cluster Level Optimization
    Spark and Hive Integration
    Spark UI
    Basics of KAFKA
    Industry use case and Interview Guide

    5) Spark on Cloud – AWS
    AWS basics
    AWS Big Data and Data Analytics basics
    AWS S3 – Simple Storage Service
    S3 vs HDFS
    AWS Redshift, Athena,EMR
        Industry use case and Interview Guide

    6) Interview Preparation guide, Mock Interview sessions and resume review and tips

    Spark Training Modules

    Learn Well Technocraft, in order to serve to various type of requirements offers various option to choose from. You can choose your preferred learning method, rest assured the learning quality and methodology remains at high standards.

    Instructor Led Sessions

    • 40 - 45 Hours of Extensive Sessions
    • Comfortable Schedule
    • Life Time Support
    • Resume Modification
    • Placement Assistance

    ₹13,053

    Enquire Now

    Self-Paced Videos

    • 30-35 Hours of Videos
    • Flexible Schedule
    • Classroom Recordings
    • Interactive videos

    ₹13,053

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    Classroom and Online Training's Preferred

    • Multiple Batches available
    • Weekdays Morning and Evening Batches available
    • Weekend Batches for Working Professionals
    • One-on-one doubt resolution sessions
    • Life time support
    • Placement Assistance
    • Free Mentoring
    • Get recorded tutorials

    09 Oct

    TUE – FRI
    07:00 AM TO 09:00 AM IST (GMT +5:30)

    15 Oct

    TUE – FRI
    07:00 AM TO 09:00 AM IST (GMT +5:30)

    19 Oct

    TUE – FRI
    07:00 AM TO 09:00 AM IST (GMT +5:30)

    25 Oct

    TUE – FRI
    07:00 AM TO 09:00 AM IST (GMT +5:30)

    ₹22,743

    Enquire Now

    Spark Certifications - FAQ's

    Spark is a plug and play processing engine which helps to process data within Hadoop or Cloud AWS S3 or Azure Blob.  

    Spark code can be written in 4 Language – SCALA, Python, JAVA, R
     
      Scala, (Mostly used  – spark itself written in scala)
      Python (Pyspark also used in industry )
      JAVA (very rarely used in industry now a days)
      R (mostly used by data scientist)
     
     Scala and Python mostly used in industry as spark itself written in scala Scala is prefered mostly.
     
    We are covering scala basics which is required for spark in this course and there is know much difference in writing of Spark code however all required examples will be covered in Python and all explanations given wherever needed.  

    There is no prerequisite as such to learn Spark or Big Data. Though basic understanding of a programming language like . Python, Java, Spark etc will help.
    Along with it hardworking in nature ,eagerness to learn and interest in Big Data and Data handling.

    Learn Well Technocraft industry oriented Spark and Big Data Training covers all topics from scratch, so even if you are totally new, we will make sure you understand everything from basics.
    As you already know that the industry is moving in the SQL way of working and Big Data and Hadoop has completely supported Sql for Hive and Sqoop and even for Spark – Spark Sql. The course design also includes basics of programming languages.

    Yes Off course you can do transition from any fields and any experience level the only thing is required consistency and practice
    Also you need to be more interactive in class and have to study more if you are transitioning from other backgrounds.

    As the industry is moving very fast it’s a good time to take one step in your career and start learning about the Big Data ecosystem now.
    Yes, but the only thing you may need to be more focused toward ,the design and optimization part along with regular sessions, All sort of guidance and topics will be covered in the course.
    Yes, many organizations accept candidates with percentages lesser than 60%. Though some organizations have strict rules for 60%.
    Learn Well Technocraft has helped many such candidates get jobs in Spark and Big Data over our 11+ years of service. The resume needs to be properly modified and learning has to be up to the mark. Learn Well Technocraft helps in end to end preparation and placement assistance.
    Yes, certainly you can. The good thing is there are many organizations which run special Women’s job drives to encourage such ladies to get back into IT. If that doesn’t work, we need to properly modify our resume and try to get the job. Learn Well Technocraft helps in end to end preparation and placement assistance.
    Spark is not 1 tool its echo system which is the combination of different tools and technology which help in completing Spark life cycle including Sqoop, Hive, HBASE, Spark, KAFKA, FLUME,PIG and many more, In order to become a good Big Data engineer you don’t need to be master of every tools and technologies but its mandatory to have in depth understanding of – Spark, Hive, Sqoop and anyone cloud preferring AWS.
    Spark training classes in Pune at Learn Well Technocraft course in a way that we cover all mandatory tools and technology that is required for Big Data and Spark developer/engineer.
    Yes, you can plan CCA-175 certification from cloudera but this is not mandatory for any company as per current trends. Once you finish the course you can plan this certification as its completely on spark and Hive which we are covering in detail
    It’s preferred if you have any AWS certification for cloud again its not mandatory from any company, All guidance is given by Learn Well Technocraft for AWS certification whenever needed.
    Spark training approximately take 2 months of time frame.
    Please contact us to get details of the fees.
    Yes, there is no restriction that only Engineers or science graduates can learn or appear for Spark or Big Data Interviews. We have assisted many such candidates in the past.
    Very Well, we have assisted many such candidates in the past who have such backgrounds. Dedication, practice and proper guidance will surely help you. Learn Well Technocraft with all our past experience helps you in achieving the goal.
    Absolutely you can try. We have assisted many such lecturers and professors from renowned colleges in the city to get into IT. There are various issues with lecturers’ jobs these days, because of that many professors are thinking of switching. Some of the issues include bad management in colleges, lesser students in some colleges, irregular salary, no growth in profile, no scope in future.

    Corporate Training

    • Fully Customized as per expectation
    • Learn from Industry Experts
    • Complete lab setup on cloud
    • Pre - Post Test for evaluation
    • Complete end-to-end support
    Contact Us
    We understand the expectations with which a corporate training is organized in any company. Also the big investment organizations are doing behind learning and development of its IT staff. Considering the amount of time and commercials invested in a corporate training, the aim is very clear.
    Considering all these points the corporate training sessions arranged by Learn Well Technocraft are in line with the industry expectations. Our tutors are not just lecturers but they come to you wish high brand value with decade of experience and confidence of providing quality training’s in past.
    All the corporate training’s arranged by Learn Well Technocraft specifically aim towards providing complete end-to-end knowledge to the attendees. We also are open to customize the content in line with the expectations of the company. The content is molded to best suit the work or tasks which the attendees are expected to do in the company. Off course 100 % knowledge is mandatory, but focusing on the pin point topics also holds value in organization, as all employees may not work on all aspects of a big technology.

    Corporate Training - Spark

    Some Major Points to highlight:
    1.  End-to-end coverage
    2.  Practical exposure
    3.  Live assignments
    4. Maximum Hands – on training
    5. Complete support
    6. Post Training Support
    7. Pre and Post Test/Evaluation
    8. Special content Customization if needed
    9. Global Certification coverage
    10. Global Certification Vouchers – Discounted
    11. Certification preparation

    Corporate Training - Costing

    To best suit the companies of various sizes, we have flexible commercial rates available:
    1. Per Day Costing – No limitation on the number of attendees
    2. Per Head Costing – Best suited when the attendees are lesser.
    So what are you waiting for, try out our services and feel the difference.

    Consulting Services

    Frequently Asked Questions

    You can easily start learning Spark, Big Data and Hadoop. Putting regular efforts daily will help in grasping the topics. Learn Well Technocraft Spark real time training is designed in such a way that if you follow it properly you will be able to achieve the results.

    Learn Well Technocraft has been a pioneer in providing learning on Spark, Hadoop and Big Data for the last 12 years. Connect to us to know more about how we can assist.

    Spark takes approximately 1.5 to 2 months to complete the course. Batches run both over Weekdays or Weekends to suit your schedule.
    Please contact us to get details of the fees.
    Yes, Learn Well Technocraft offers real time training on various aspects of Spark and Big Data. Also Learn Well Technocraft offers placement services on Spark, Big Data and Hadoop and have helped many candidates in the past.

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