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Spark Training in Pune      ( Read Reviews )


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 Hours Spark

  • 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

Please fill the details below to download/view the syllabus.

  • 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.

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.








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