Upcoming Events at Entirety Technology
Tue Sep 3, 9:30 PM - Thu Sep 26, 11:30 PM
Entirety Technology
Jacksonville, FL 32210.0
Community: Downtown Jacksonville
Description
The first 16 hours of this course we will cover foundational aspects with Big Data technical essentials where you learn the foundations of hadoop, big data technology technology stack, HDFS, Hive, Pig, sqoop, how to set up Hadoop Cluster, how to store Big Data using Had
Event Details
The first 16 hours of this course we will cover foundational aspects with Big Data technical essentials where you learn the foundations of hadoop, big data technology technology stack, HDFS, Hive, Pig, sqoop, how to set up Hadoop Cluster, how to store Big Data using Hadoop (HDFS), how to process/analyze the Big Data using Map-Reduce Programming or by using other Hadoop ecosystems.
The next 16 hours of the course will cover all the course topics in-depth with Hands-on lab exercises mentioned in the comprehensive course outline below.
Course Schedule for First 8 sessions (First 16 Hours)
This is a weekdays course that will be held September 3 - September 26, 2019 US Pacific Time
The class sessions will be held-Tuesday, Thursday every week
6:30-8:30 PM US Pacific time, each day.
Please check your local date and time for first session.
Course Schedule for Next 8 sessions (Next 16 Hours)
Weekdays October 1 - October 24, 2019 US Pacific Time
The class sessions will be held-Tuesday, Thursday every week
6:30-8:30 PM US Pacific time, each day.
View Detailed Weekly Training Schedule at the bottom of this event listing.
Couse Objectives
Knowledge of Hadoop components such as MapReduce, Sqoop, HBase, Hive, Pig, HDFS, Flume, ZooKeeper, Oozie, etc.
Ability to work on Hadoop related Projects as an individual contributor or as part of a team.
Setup, Install and Configure Hadoop in Different environments - Development, Support and Test environments
Hadoop architecture and various operations performed on it
Familiarity with various Hadoop Solutions.
Prerequisite
Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel, java programming language, basic UNIX commands.
Course Features
4-8 weeks, 8-16 sessions, 16-32 hours of total LIVE Instruction
Training material, instructor handouts and access to useful resources on the cloud provided
Practical Hands on Lab exercises on cloud workstations provided
Actual code and scripts provided
Real-life Scenarios
Course Outline
This is a comprehensive course outline. It is also a guideline, indicative of what topics might be covered during the class. This outline and the actual course content
The next 16 hours of the course will cover all the course topics in-depth with Hands-on lab exercises mentioned in the comprehensive course outline below.
Course Schedule for First 8 sessions (First 16 Hours)
This is a weekdays course that will be held September 3 - September 26, 2019 US Pacific Time
The class sessions will be held-Tuesday, Thursday every week
6:30-8:30 PM US Pacific time, each day.
Please check your local date and time for first session.
Course Schedule for Next 8 sessions (Next 16 Hours)
Weekdays October 1 - October 24, 2019 US Pacific Time
The class sessions will be held-Tuesday, Thursday every week
6:30-8:30 PM US Pacific time, each day.
View Detailed Weekly Training Schedule at the bottom of this event listing.
Couse Objectives
Knowledge of Hadoop components such as MapReduce, Sqoop, HBase, Hive, Pig, HDFS, Flume, ZooKeeper, Oozie, etc.
Ability to work on Hadoop related Projects as an individual contributor or as part of a team.
Setup, Install and Configure Hadoop in Different environments - Development, Support and Test environments
Hadoop architecture and various operations performed on it
Familiarity with various Hadoop Solutions.
Prerequisite
Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel, java programming language, basic UNIX commands.
Course Features
4-8 weeks, 8-16 sessions, 16-32 hours of total LIVE Instruction
Training material, instructor handouts and access to useful resources on the cloud provided
Practical Hands on Lab exercises on cloud workstations provided
Actual code and scripts provided
Real-life Scenarios
Course Outline
This is a comprehensive course outline. It is also a guideline, indicative of what topics might be covered during the class. This outline and the actual course content
