Big Data Hadoop and Spark

Mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data.

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Course Objectives

Once you have mastered data management and predictive analytic techniques, you will gain exposure to state-of-the-art machine learning technologies. This expansive learning path will help you excel across the entire spectrum of big data and data science technologies and techniques.

Course Module

  • Big data: definition and taxonomy
  • Big data value for the enterprise
  • Setting up the demo environment
  • First steps with the Hadoop “ecosystem”

  • Introduction to Hadoop
  • Hadoop components: MapReduce/Pig/Hive/HBase
  • Loading data into Hadoop
  • Handling files in Hadoop
  • Getting data from Hadoop

  • Introduction to the SQL Language
  • From SQL to HiveQL Exercises 4 Querying big data with Hive
  •  Introduction to HIVE e HIVEQL
  •  Using Hive to query Hadoop files

  • Quick into to Machine learning
  • Big Data & Machine Learning
  • Machine learning tools
  •  Spark & SparkML
  • H2O □ Azure ML Exercises 6 Big data & Machine learning
  • Big Data & Machine Learning (continued)
  •  Next steps in the big data world

Learning Approch

  • Designed with a focus on real world relevance
  • Real-world case studies
  • Hands-on Assignments
  • Individualized Instructor
  • Career Guidance

Certification (LP Certificate)

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Certification (KHDA)

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Expert Instructors & Teaching Methods


Our trainer is a Solution Architect with 15years of hands on experience in design and implementation of complex projects in large enterprises. Data scientist with good experience in Hadoop, HBase, Hive, Spark, Crunch, HBase, Zookeeper, Sqoop, Flume, Oozie, SolR,Cassandra, Map Reduce, Kafka, Kite, R. He is an expertise in design and development of webservices and API development / Deployment also application development using Java, Spring, Hibernate, Struts, Angular, HTML, CSS, SQL. He successfully Implemented the Project on Big Data Platform(Cloudera) and using technologies like Spark, Hive, Pig, Oozie, Sqoop, Impala. Possess very strong Exposure to CI/CD tools including maven, Git, Jenkins. Exposure to Integration using JMS/REST, IBM MQ, WMB, Websphere ESB and Apache Kafka. Also experienced in all the phases of SDLC including Agile(Scrum), Waterfall, TDD and Iteration. He is an IIT’an and certified Software Architect and Sun Certified Java programmer.



Learners Experience

Frequently Asked Questions

Our trainings are mostly instructor led and classroom based. However, we also offer high quality live and interactive online sessions.

Our highly skilled faculties from around the globe are experts in their fields and come with decades of diverse industry experience. Our trainers are internationally recognized and locally preferred with rich research driven experience which will ensure highly customizable, engaging and top in the class learning experience.

Choosing LearnersPoint is true value for money as our trainings are right blend of theory and practice and specially developed keeping tomorrow's business needs in mind. All the training sessions are closely monitored through specially designed progress tracker to ensure reinforced and unparalleled learning experience

Once you have registered for a course and wish to not to proceed with the training for any reason, you are entitled for a refund of the fees provided we are notified in writing within 2 days from the date of initial registration before the training commencement. The refunds are processed within 4 weeks from the day of withdrawal.