Hadoop for Analysts/Managers
- Product Code: T11014
- Availability: In Stock
- Ex Tax: $395.00
|Training Type||Instructor Based Online Training.|
|Schedule||24-March-2018, 7:30 AM PST | 9:30 AM EST | 7:00 PM IST|
|Audience and Prerequisites|
The Big Data Hadoop Analyst Training course is specifically designed to enable an Analysts Skill to seamlessly work on Big Data and Hadoop that is highly popular for fulfilling the surging demand of the industry to process and analyse data at extremely high speeds. This training course will impart the right set of skills for deploying various tools and techniques to become a Hadoop Analyst working with Big Data.
Though not necessary, having basic knowledge of any programming language will be helpful for candidate undertaking this course. Data and System Analysts, Business Intelligence professionals, Project Managers, ETL and Data Warehousing professionals or anyone who wants to learn and make a career in Big Data and Hadoop as Project Managers can enrol for this training course.
An separate Access to Real-Time Clusters will be provided to everyone for practicing,
Training will be conducted with the help of LMS (Learning Management System), GOTOWebinar Application and all video will be accessed by the participants after the Training through LMS.
For retrieving sense from the rising volumes of Big Data, most organizations across the globe are highly relying on Hadoop, owing to which Hadoop is witnessing steady growth. This course will help candidates in understanding how to manage the work on the Hadoop framework and process massive quantities of data streaming at high speeds to unravel valuable insights in real time. There is a huge demand for professionals who can utilize the skills imparted via this training course in real-world Big Data scenarios through COSO IT Real Time Hadoop Clusters.
|Certification||COSO IT Certified Big Data Analyst.|
|Curriculum||1. Introduction To Big Data and Hadoop.|
Lab: First Look at Hadoop Real Time Clusters for small Enterprises Data.
2. Introduction to HDFS (Hadoop Distributed File System):
Lab: Interacting with HDFS.
3. Map Reduce:
Lab: Running a Map Reduce Program.
4. Introduction To Pig.
Lab: Writing Pig Scripts to Analyze/Transform data.
Lab(Multiple) : Creating Hive tables and Running queries, joins , using partitions, using text analytics functions.
6. BI Tools for Hadoop:
Access to COSO IT Big Data Labs(Real-Time Clusters) for project and practicing.