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Data Engineering

150,000.00

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Course Level

Intermediate

Total Hour

45h

Course Content

Hadoop
Hadoop is a big data framework , which stores andprocesses the huge data (like Tbs, Pbs) Components- Storage: Hdfs, Processing: MR1. MR2.

SQL
SQL is the language to access/process the data in Database Components- Basics, Databases, Tables, Views, Joins.

Hive
Hive is a data warehouse system which is used to analyze structured data. Components- Basics, Datatypes, Tables, Views, Joins.

Scala
Scala is programming language, similar to Java/Python Components - Data types, Classes, Objects, Functions,Loops, Singleton Object, OOPS, etc.

Spark
Spark is a bigdata framework, design to handle/processhuge data volumes in a faster/optimised way. Spark is available in Scala, Java, Python (called Pyspark) Components- Spark Core, Spark SQL

About Course

Data Engineering

A data engineering is developing, testing, and maintaining data pipelines and architectures, which the data scientist uses for analysis.

 

 

What Will You Learn?

  • Learn Data Engineering - Level 1 required to crack a job

Material Includes

  • Presentations
  • Temporary Recordings
  • Datasets
  • Project work

Requirements

  • Basic programming knowledge in Java, Basic SQL and Basic LINUX
  • Laptop or PC is required for training and practice.

Audience

  • Engineering and computer science student and professionals

Instructor

N
5.00 /5

111 Courses

150,000.00
Enrollment validity: 180 days

Material Includes

  • Presentations
  • Temporary Recordings
  • Datasets
  • Project work

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