APACHE PIG
Specialization | 6 Course Series
This Online Apache Pig Training includes 6 courses with 17+ hours of video tutorials and One year access. You will get to learn about the concepts and application of Fundamentals and advanced Apache Pig and how to work on huge data sets with ease.
Offer ends in:
What you'll get
- 17+ Hours
- 6 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
- Download Curriculum
Synopsis
- Courses: You get access to all 6 courses, Projects bundle. You do not need to purchase each course separately.
- Hours: 17+ Video Hours
- Core Coverage: Learn the concepts and application of Apache Pig and how to work on huge data sets with ease
- Course Validity: One year access
- Eligibility: Anyone serious about learning Hadoop-Apache Pig and wants to make a career in this Field
- Pre-Requisites: Basic knowledge about Hadoop would be preferable
- What do you get? Certificate of Completion for each of the 6 courses and projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume or LinkedIn profile to showcase your enhanced skills
- Type of Training: Video Course – Self Paced Learning
Content
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MODULE 1: Apache PIG Essentials Training
Courses No. of Hours Certificates Details PIG - Beginners 2h 1m ✔ PIG - Advanced 2h 13m ✔ -
MODULE 2: Learning PIG from Practicals & Projects
Courses No. of Hours Certificates Details Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce 2h 33m ✔ Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop 3h 34m ✔ Project on Hadoop - Sensor Data Analysis using HIVE/PIG 5h 26m ✔ Project on Hadoop - Youtube Data Analysis using PIG/MapReduce 3h 02m ✔
Description
In this Apache Pig Training, you will learn about how to make use of Big data tools and technology. How easy and convenient it will be once you know how to deal with data sets and various big data tools which could be used to make your life and businesses a lot better and be beneficial to provide them the right set of information and not just raw data. You will also learn about Piglatin language and the scripts related to it.
Sample Certificate
Requirements
- Basic computer knowledge
- Some hands-on upon any programming language or any coding background will be helpful
- Big data ecosystem familiarity and HDFS (Hadoop Distributed File System)
- Zeal and enthusiasm to learn something new and implement it
Target Audience
- Professionals who have been working in Big data ecosystem and want to give an add on to their skill set by learning a new technology PIG.
- Professionals who have been working with other IT related technology and wish to switch into the big data ecosystem by learning Apache Pig training
- Students who are very new in entering the IT realm and wish to kick start their career by making use of something a lot more useful such as Apache PIG for Big data.
- Data analysts and developers who have been working with the creation and the development of software and analyzing the data can be the ideal audience for learning Apache Pig training
- Anyone interested to learn a programming language in the growing field of analytics.
Course Ratings
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This was an excellent introduction course to Pig. Excellent comparisons. The instructor was clear, to the point, and provided easy to follow walk throughs throughout the entire course.
Daniel L Boyd
eduCBA is an ultimate online learning tool as it is simple to use and manage. The training materials are quite excellent and very helpful.
Anuj Vohra
It is amazing, I've learnt a lot. Very useful and informative
Frecyla A. Ranque
Very informative and easy to follow. One of the fundamentals of this style of learning is that the course is broken down into sizeable, manageable chunks, making the learning process easy to digest. The visual learning, ie the tutor taking us through, step by step, whilst we can follow their screen is very useful.
Nick Hawthorne