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Spark


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
  • Day 1:
    1. Big Data Introduction
    2. Prerequisites
    3. Spark Motivation
    4. Spark Components
    5. Spark Setup on laptops
  • Day 2:
    1. Brief on Scala and Java
    2. Intro to RDDs
    3. Few working examples with RDDs
    4. RDDs in detail with advance concepts
  • Day 3:
    1. Deep dive in Spark SQL
    2. Connecting with Hive
    3. Running queries on Spark engine
    4. Few working examples
  • Day 4:
    1. Deep dive in Spark Streaming - Understanding the concept
    2. Reading data from various sources like kafka, file system etc
    3. Running some examples
    4. Aggregations on real time streams
    5. Brief on distributed messaging queue Apache Kafka with some examples
  • Day 5:
    1. Introduction to Machine learning and its types.
    2. Understanding the concepts behind some famous algorithms like regression and classification
    3. Trying out few examples on real datasets.
  • Day 6:
    1. Linear regression
    2. Logistic regression
    3. Dimensionality reduction
    4. k-means Clustering
  • Day 7 and 8:
    8hrs
    1. Working on a real use case which will involve some of the learnings so far learnt.
    2. Revisiting some sections which are not clear
    3. Doubts
Contact us for detailed syllabus.
  • 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.
  • 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
  • Over 3,500 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.

Students Speak Testimonials

Kirti Patel

Kirti Patel Independent Consultant

When I needed to broaden my Oracle skills, I approached Learn Well Technocraft, They gave me good insight into what was hot and trending in consulting market and recommended me training in Data warehousing/ETL and Informatica. I recommended their training to a friend of mine and he too was full of praise for the training program. I highly recommend their Training.

Rakesh Satpute

Rakesh SatputeAVP - Credit Risk Analytics & Reporting

I wanted to learn Data Analytics since it was needed in my job and nothing could have been better than to find a educator at Learn Well . 6 week (12-14 days) Woww!!, Initially i doubted will I be able to do it , but the brevity with which you briefed us through the topics was really very good. I would like to thank you for rescheduling the classes as per our convenience and would also like to thank you for staying in touch and clearing our doubts even after the commencement of the classes.

Hariharan Rajsekaran

Hariharan RajsekaranETL & Datawarehousing Consultant

The training's walked me through every step of the way in learning and marketing my new skills. Since I am in US, I took training online, they helped me setup my computer with necessary softwares, and delivered hands on training over Skype and Gotomeetings for several weeks, and helped me with preparing resume.

Sandip Pandey

Sandip PandeyTechnical Leader

First of all thank you so much for conducting a fantastic training. I am writing this as a feedback and i am sure everyone else in the batch is surely agreed with me that we had really nice training sessions. The methods, examples and concepts were very helpful in understanding the topic. Some of the really complex topics have been explained so well that it could easily understand for totally novice user.

Sandip Pandey

Vibha ThereBusiness Analyst

I would like thank the trainer and Learn Well Technocraft for delivering great sessions on 'Big data & Hadoop ' . Trainer has a great knowledge about Hadoop and delivered the sessions effectively . Keep up the good work guys !!!

Sandip Pandey

Anirudha LimayeSenior Developer ETL

We wanted to have database training for employees of our company, we were glad we took it from Learn Well. The wonderful thing was all sessions were totally practically oriented. The trainer they sent to our premises, were very qualified and professional. Our employees were able to complete the global certification also after the training.

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