Post on 20-May-2020
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Big Data Systems Infrastructure
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Course Overview
Big Data Systems Infrastructure Duration:104 Hours
Schedule :Full Day Morning ( 9-5)
Half Day Evening (6-10)
Weekends Full Day (10-4)
Instructor-Led
Hands-On Training
Delivery Options:
In CLS Classroom.
On site Classroom.
Online Live.
Your Training Comes with
a 100% Satisfaction
Guarantee!
* 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 real time 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.
* Following Course:Big Data Applied Technologies and Models ( Level 3 )
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Course Outline
Beginner Level 3 Days / 24 HoursFundamentals of Big Data
* Intro to Distributed Systems & HDFS
* Exploring Big Data Ecosystem &
Distributions
* Basic Intro to NoSQL
Hadoop Fundamentals
* Intro to Hadoop
* Introduction to Map Reduce
* 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 HoursMap Reduce 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 HoursProject 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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Course Outcome Audience Profile- The course is aimed at Software Engineers,
Database Administrators, and System Administrators
that want to learn about Big Data. Other IT
professionals can also take this course, but might
have to do some extra research to understand some
of the concepts.
- Who are interested in big data management, data
engineering and data analysis using Big Data
technologies to get hands on training about big
data and NoSQL
Prerequisites
Attending Course :
Big Data Systems ( Level 1 )
- To gain the most from the workshop, 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.
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•
* 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.
We select the best instructors, who are certified from trustworthy
international vendors. They don’t only provide training program, but they
also share their professional experience with the students, so they can have
hands-on experience on the job market.
CLS facilities are well-equipped with strong hardware and software
technologies that aid both students and trainers lead very effective
smooth training programs.
We provide our clients with the best solutions, Our team of training advisers
answer whatever questions you have.
We have been in the market since 1995, and we kept accumulating
experience in the training business, and providing training for more than
100,000 trainees ever since, in Egypt, and the MENA region.
CLS is an authorized and accredited partner by technology leaders like
Microsoft, EC-Council, Adobe and Autodesk. This means that our
training programs are of the highest quality source materials, the most
up-to-date, and have the highest return on investment ever possible.
We keep tabs on every change in the market and the technology field,
so our training programs will always be updated up to the World-class
latest standards, and adapted to the global shape-shifting job market.
Our clients prefer our training programs not only for the quality
education they get, but also because they are cost effective.
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