Big Data Hadoop and Spark with Scala

BY
Udemy

Master the Big Data Hadoop Development, Big Data Hadoop etc by enrolling in Udemy.

Mode

Online

Fees

₹ 2699

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Big Data Hadoop and Spark with Scala Course is a short certification course created and developed by Harish Masand, a Technical Lead, that will help the students to have a detailed understanding of Big Data Hadoop with Spark, Spark with Scala, Ecosystem, Big Data Hadoop and much more. The curriculum will expose students to various related aspects of Big Data Hadoop and Spark with Scala;  Hadoop, HDFS, YARN, Python, pig, hive, oozie,  Map-reduce, to name a few. Big Data Hadoop and Spark with Scala Certification can be pursued by the interested learners by paying a minimal fee.

Big Data Hadoop and Spark with Scala Online Course, the online programme by Udemy, will enable the candidates to dive deeper into Hadoop, ecosystem, tools, spark, etc. Udemy will render the students a certificate of completion, a 30-day money-back guarantee, access to the course content both on TV and mobile, and the like. 

The highlights

  • Online course
  • Downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion
  • English videos
  • 30-Day Money-Back Guarantee

Program offerings

  • 1 article
  • Full lifetime access
  • Access on mobile and tv
  • Certificate of completion
  • English videos
  • 44.5 hours on-demand video

Course and certificate fees

Fees information
₹ 2,699
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

After the completion of Big Data Hadoop and Spark with Scala Online Certification, the learners will have the opportunity to explore sqoop, Flume, HBase,  Spark, Spark SQL, No SQL, Spark Streaming, Big Data Hadoop Development, and a lot more. 

The syllabus

Module A - Hadoop Eco System - Basics

  • A1 - Hadoop Intro (1/2)
  • A2 - Hadoop Intro (2/2)
  • Materials
  • A3 - Python (1/4) Practical
  • A4 - Python (2/4) Practical
  • A5 - Python (3/4) Practical
  • A6 - Python (4/4) Practical
  • A7 - Linux (1/2) Practical
  • A8 - Linux (2/2) Practical
  • A9 - HDFS (1/4)
  • A10 - HDFS (2/4)
  • A11 - HDFS (3/4) Practical
  • A12 - HDFS (4/4) Practical
  • A13 - Map Reduce (1/4)
  • A14 - Map Reduce (2/4)
  • A15 - Map Reduce (3/4) Practical
  • A16 - Map Reduce (4/4) Practical
  • A17 - Pig (1/4)
  • A18 - Pig (2/4) Practical
  • A19 - Pig (3/4) Practical
  • A20 - Pig (4/4) Practical
  • A21 - Hive (1/4)
  • A22 - Hive (2/4) Practical
  • A23 - Hive (3/4) Practical
  • A24 - Hive (4/4) Practical

Module B - Hadoop Eco System - Advanced

  • B1 - NoSQL (1/2)
  • B2 - NoSQL (2/2)
  • B3 - Hbase (1/4)
  • B4 - Hbase (2/4)
  • B5 - Hbase (3/4) Practical
  • B6 - Hbase (4/4) Practical
  • B7 - Sqoop (1/3) Theory
  • B8 - Sqoop (2/3) Practical
  • B8 - Sqoop (3/3) Practical
  • B9 - Flume (1/2)
  • B10 - Flume (2/2) Practical
  • B11 - Oozie (1/2)
  • B12 - Oozie (2/2) Practical

Module C - Spark

  • C1 - Scala (1/4)
  • C2 - Scala (2/4) Practical
  • C3 - Scala (3/4) Practical
  • C4 - Scala (4/4) Practical
  • C5 - Spark (1/8)
  • C6 - Spark (2/8)
  • C7 - Spark (3/8) Practical
  • C8 - Spark (4/8) Practical
  • C9 - Spark (5/8) Practical
  • C10 - Spark (6/8)vPractical
  • C11 - Spark (7/8) Practical
  • C12 - Spark (8/8) Practical
  • C13 - Spark SQL (1/5)
  • C14 - Spark SQL (2/5)
  • C15 - Spark SQL (3/5)
  • C16 - Spark SQL (4/5) Practical
  • C17 - Spark SQL (5/5) Practical
  • C18 - Kafka (1/2)
  • C19 - Kafka (2/2) Practical
  • C21 - Spark Streaming (1/2)
  • C21 - Spark Streaming (2/2) Practical

Bonus Section

  • Git and Shell Script
  • Career Guidance

Instructors

Mr Harish Masand

Mr Harish Masand
Technical Lead
Udemy

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