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Big Data Analysis

Big Data has a significant impact on businesses worldwide, with applications in a wide range of industries such as healthcare, insurance, transport and logistics, and customer service. data is being generated at an exponential rate. Business data generation is increasing at a similarly rapid rate. Only a small percentage of business data is structured data in rows and columns of databases. This data proliferation requires a rethinking of traditional techniques for capture, storage, and processing. Big data is a term that describes data sets so big they can’t be managed with traditional database systems. Big Data is also a collection of tools and techniques aimed at solving these problems. This learning path covers the current thinking and state of the art for managing and manipulating large data sets using the techniques and tools of Big Data

  • Training Type
  • Training

  • Topics
  • Lesson 1 - What is Big Data?
    Lesson 2 - Big Data: Beyond the Hype
    Lesson 3 - Big Data and Data Science
    Lesson 4 - Use Cases
    Lesson 5 - Processing Big Data

    Data Engineering with Hadoop
    Lesson 1 - Introduction to Hadoop
    Lesson 2 -Hadoop Architecture
    Lesson 3 -Hadoop Administration
    Lesson 4 -Hadoop Components

    Data Engineering with Scala
    Lesson 1 - Introduction
    Lesson 2 - Basic Object-Oriented Programming
    Lesson 3 - Case Objects and Classes
    Lesson 4 - Collections
    Lesson 5 - Idiomatic Scala

  • Pre-requisites
  • The course is ideal for anyone who wishes to pursue a career in data engineering. There are no prerequisites to take this course, but prior knowledge of the listed skills and technologies are beneficial, including:

    - Algorithms and data structures
    - SQL
    - Programming knowledge of Python and Java
    - Cloud platforms and distributed systems
    - Data pipelines

  • Audience
  • - IT professionals
    - Banking and finance professionals
    - Database administrators
    - Beginners in the data engineering domain
    - Students in UG/ PG programs

  • Related Courses
  • - Big Data Hadoop and Spark Developer
    - Pyspark Training
    - Big Data and Hadoop Administrator
    - MongoDB Developer and Administrator
    - Apache Cassandra
    - Apache Spark and Scala

  • Value of Training
  • - Understand what Big Data is, sources of Big Data, and real-life examples
    - Learn about the key difference between Big Data and Data Science
    - Master how to use Big Data for operational analysis and better customer service
    - Know the Ecosystem of Big Data and Hadoop framework
    - Understand Hadoop’s architecture and primary components, such as
    - MapReduce and Hadoop Distributed File System (HDFS)
    - Add and remove nodes from Hadoop clusters, check the available disk space on each node, and modify configuration
    - Learn about Apache projects that are part of the Hadoop ecosystem, including Pig, Hive, HBase, ZooKeeper, Oozie, Sqoop, Flume, and more
    - Create your own Scala Project
    - Understand basic object-oriented programming methodologies in Scala
    - Work with data in Scala such as pattern matching, applying synthetic methods, handling options, failures, and futures

  • Training Hours
  • 40 Hours

scheduled date Location time No of days price  
December 1, 2019 Cairo 40 Hour 10 3200 Apply To The Course