Big Data Diploma : Data Management&Analytics CLS Learn

 Course Overview:
 Interested in increasing your knowledge of the Big Data Systems?
 This course is for those who are new to big data and drive your through hands-on practical experience to learn Apache Hadoop.
 You will gain an experience with Ingesting data into Hadoop file system, working with data in batch and Stream processing, Deliver visualization and insights of Data and too many technical skills.
 
 Diploma Duration : 104 Hours
 Audience Profile:
 This course targeted for
 Who are interested in big data management, data engineering and data analysis using Big Data technologies
Database Administrators, Developers & System Administrators which aims to get hands on training about big data and NoSQL

  Course Outcomes:
 Students will be trained as big data Engineers with real world hands-on experience in Hadoop Administration, ETL (Batch/Stream), Sql-On-Hadoop and many other technologies related to Big Data.

 Instructor Bio:
Having more than 7 years building data Integration & Data Warehouse project at different governmental project. Leading many project in Big Data Platform “Design, Implementation & Development”.
Working for National project at “Administrative Control Authority” building data warehouse and data integration.
Working for National project at “Traffic Information Technology Department – Ministry of Interior”.
 
 Course Outline in details: 

 
Beginner Level: 3 Days / 24 Hours
 
 
Introduction to Big Data
Intro to Distributed Systems & HDFS
Exploring Big Data Ecosystem & Distributions iv. Basic Intro to NoSQL
 
Hadoop Fundamentals
Intro to Hadoop
Introduction to MapReduce
Intro to YARN
Basic Hadoop Cluster Implementation
 
SQL-On-Hadoop
Intro to SQL-On-Hadoop
Intro to Hive iii. Basic Implementation of Hive & Hive Server 2
Ingesting Data into Hadoop
Intro to Sqoop
Concept of Stream Processing 
Into to Kafka
 
 
Advanced Level: 5 Days / 40 Hours
 
MapReduce In Depth
Hadoop Architecture In Depth
Intro to Apache Zookeeper
Advanced Cluster Implementation
 
SQL-On-Hadoop
Advanced Hive Architecture
Ingesting Data Into Hive Using Sqoop
HiveQL 
Intro to Apache HBase
 
Ingesting Data into Hadoop
Intro to ETL Concepts
Intro to Data Flow using Apache Nifi
Implementing Apache Nifi Cluster
Simple Integration Project with Apache Nifi  
 
Intro to Python Programming
Ingesting Data into Hadoop
Implementing Kafka Cluster
Building Simple Kafka Producer & Consumer Using Python
 
Intro to Apache Spark
Spark Implementation
Simple Data Analysis with Apache Spark
 
Big Data Workshop: 5 Days / 40 Hours
Project 1: Data Ingestion from RDBMS into HIVE (ORC File)

Using Sqoop to Connect to RDBMS(Oracle / SQL Server)
Creating Hive Table on ORC File
Hive Table Performance Tuning
 
Project 2: Data Ingestion Streaming Data Using Kafka into Hadoop/Hive
Using Kafka to Connect to RDBMS(Oracle / SQL Server)
Kafka Advanced Cluster Configuration
Ingesting Data into Hadoop/Hive
 
Project 3: Data Analysis & Stream Processing using Spark 1
Spark Cluster Implementation
Using PySpark
Processing Data With Spark
Stream Processing With Spark
 
Project 4: Data Analysis & Stream Processing using Spark & Hive 2
 Integrating Spark with Hive
Ingesting Data with Spark into Hive
Using Spark SQL
 
Project 5: Data Visualization Using Apache
Implementing Apache Zeppelin
Integrating Apache Zeppeling With Spark
Visualize Data With Zeppeling

This course is no longer available.

Big Data Diploma : Data Management&Analytics CLS Learn
Price: EGP 6,100
  • Other Location: Dokki
  • Duration: 104 Hours
  • Timings: Part Time, Weekday evening classes

    Course details

     Course Overview:
     Interested in increasing your knowledge of the Big Data Systems?
     This course is for those who are new to big data and drive your through hands-on practical experience to learn Apache Hadoop.
     You will gain an experience with Ingesting data into Hadoop file system, working with data in batch and Stream processing, Deliver visualization and insights of Data and too many technical skills.
     
     Diploma Duration : 104 Hours
     Audience Profile:
     This course targeted for
     Who are interested in big data management, data engineering and data analysis using Big Data technologies
    Database Administrators, Developers & System Administrators which aims to get hands on training about big data and NoSQL

      Course Outcomes:
     Students will be trained as big data Engineers with real world hands-on experience in Hadoop Administration, ETL (Batch/Stream), Sql-On-Hadoop and many other technologies related to Big Data.

     Instructor Bio:
    Having more than 7 years building data Integration & Data Warehouse project at different governmental project. Leading many project in Big Data Platform “Design, Implementation & Development”.
    Working for National project at “Administrative Control Authority” building data warehouse and data integration.
    Working for National project at “Traffic Information Technology Department – Ministry of Interior”.
     
     Course Outline in details: 

     
    Beginner Level: 3 Days / 24 Hours
     
     
    Introduction to Big Data
    Intro to Distributed Systems & HDFS
    Exploring Big Data Ecosystem & Distributions iv. Basic Intro to NoSQL
     
    Hadoop Fundamentals
    Intro to Hadoop
    Introduction to MapReduce
    Intro to YARN
    Basic Hadoop Cluster Implementation
     
    SQL-On-Hadoop
    Intro to SQL-On-Hadoop
    Intro to Hive iii. Basic Implementation of Hive & Hive Server 2
    Ingesting Data into Hadoop
    Intro to Sqoop
    Concept of Stream Processing 
    Into to Kafka
     
     
    Advanced Level: 5 Days / 40 Hours
     
    MapReduce In Depth
    Hadoop Architecture In Depth
    Intro to Apache Zookeeper
    Advanced Cluster Implementation
     
    SQL-On-Hadoop
    Advanced Hive Architecture
    Ingesting Data Into Hive Using Sqoop
    HiveQL 
    Intro to Apache HBase
     
    Ingesting Data into Hadoop
    Intro to ETL Concepts
    Intro to Data Flow using Apache Nifi
    Implementing Apache Nifi Cluster
    Simple Integration Project with Apache Nifi  
     
    Intro to Python Programming
    Ingesting Data into Hadoop
    Implementing Kafka Cluster
    Building Simple Kafka Producer & Consumer Using Python
     
    Intro to Apache Spark
    Spark Implementation
    Simple Data Analysis with Apache Spark
     
    Big Data Workshop: 5 Days / 40 Hours
    Project 1: Data Ingestion from RDBMS into HIVE (ORC File)

    Using Sqoop to Connect to RDBMS(Oracle / SQL Server)
    Creating Hive Table on ORC File
    Hive Table Performance Tuning
     
    Project 2: Data Ingestion Streaming Data Using Kafka into Hadoop/Hive
    Using Kafka to Connect to RDBMS(Oracle / SQL Server)
    Kafka Advanced Cluster Configuration
    Ingesting Data into Hadoop/Hive
     
    Project 3: Data Analysis & Stream Processing using Spark 1
    Spark Cluster Implementation
    Using PySpark
    Processing Data With Spark
    Stream Processing With Spark
     
    Project 4: Data Analysis & Stream Processing using Spark & Hive 2
     Integrating Spark with Hive
    Ingesting Data with Spark into Hive
    Using Spark SQL
     
    Project 5: Data Visualization Using Apache
    Implementing Apache Zeppelin
    Integrating Apache Zeppeling With Spark
    Visualize Data With Zeppeling Updated on 13 November, 2019

    Eligibility / Requirements

     Prerequisites:
     To gain the most from the workshop, Prior knowledge of Apache Hadoop is not required, and the following is required:
     Knowledge of Programming, Basic of “Java, Scala, Or Python”
    Knowledge of Relational Database Management Systems.
    Basic knowledge of operating systems & Network.

     

    About CLS Learn

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