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Big Data: Hadoop Administrator, Spark Developer

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This course is essential to all software engineers, programmers, Data analysts, database administrators and anyone looking to become great at big data.

You will learn how to use the most popular software in the Big Data industry at moment, using batch processing as well as realtime processing.
This course will give you enough background to be able to talk about real problems and solutions with experts in the industry.
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.

Outline

Beginner Level 3 Days / 24 Hours
Fundamentals of Big Data

Intro to Distributed Systems & HDFS
Exploring Big Data Ecosystem & Distributions
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
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

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Since 1995, CLS Learning solutions is leading the technology learning market in Egypt, the Middle East, and Africa. With our wide network of international partners, trainers, instructors, and technology leaders; we are able to deliver top notch training programs to our students and technology professionals.

25 Years in the market.

We delivered over 4,200 courses to 63,500 professionals in our centers.

We delivered 1,200 courses to 18,240 corporate employees on Site.

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Software Development