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Big Data: Hadoop Administrator, Spark Developer

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In-Person / Training

Details

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

Schedules

Feb 29, 2020 - May 09, 2020
Mon, Wed, Sat 06:00 PM — 10:00 PM
Mar 28, 2020 - Jun 19, 2020
Fri, Sat 10:00 AM — 04:00 PM
Total Hours: 100
No. of Participants: 15
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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.

 
CLS Learning Solutions
5 Elmesaha ,Dokki, Giza, Egypt 12421
02-33370280
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