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Apache Pig Training

Online Apache Pig Training offers you expertise in analyzing large data sets in a hadoop cluster even if you have no considerable MapReduce knowledge. Pig is simple and easy to understand as its scripts can easily be converted into MapReduce jobs using Pig interpreter.
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1340 Ratings
1530 Learners
30 Hours
15 Hours
Big Data
365 Days
24 / 7 Support
Intermediate
Online Classroom
Attend our Instructor Led Online Virtual Classroom
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One to One Training
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About Course

Apache Pig Latin is a dataflow language that allows data users to create programs for Apache Hadoop with a higher degree of abstraction. Pig frees data analysts from having to write lengthy low-level Java code to carry out data-processing applications. Pig handles Hadoop's Distributed File System as well as MapReduce, its processing system. It compiles Pig Latin scripts into MapReduce jobs and executes them. Pig differs from SQL in that, beyond queries which define what needs to be answered, it describes how it should be answered. Moreover, Pig is designed for the Hadoop environment, while SQL is designed for the RDBMS environment where schemas are enforced. Pig Latin can be extended using user-defined functions written in several languages, including Python, Java, and Ruby.

Apache Pig online training program seeks to inform participants about the detailed workings of this powerful tool. It begins with a how-to on installing and running Pig locally, on a Hadoop cluster, or in the cloud. It then discusses the Grunt Shell and dives into the types of data models used in Pig. It further delves into the details of how, for example, Pig deals with data without schemas. It fully describes Pig Latin, discussing all of the operations, commands, and user-defined functions. It covers Pig's extensibility and how to integrate Pig with MapReduce. The course includes detailed explanations of advanced topics such as linear and non-linear data flows, relational operators, and combining data-flow and control flow. It wraps things up with a discussion about how to write effective, efficient scripts and test them.

It is recommended that the participants be familiar with SQL and HDFS commands. However, there are no formal prerequisites for Apache Pig Training Online and anyone may register for Apache Pig online training program.

Big data analysis is simply too critical in the job market for big data analysts to slip. Companies fear missing the boat on something important and losing their competitive edge. As a result, big data processing has slowly been taking over the IT departments of companies in multiple industries. The demand for professionals who can easily manage and control big data is steadily increasing. Apache Pig is just the kind of tool that analysts, database managers, data architects, and developers can use to provide bid data analysis cheaply and effectively. A certified professional in Hadoop with some experience can easily earn past six figures. If you don't know Java or desire a higher platform for working with Hadoop, then enroll in Apache Pig online training program and join the big data boom.

Other Related Courses:

Apache Pig Syllabus

  • Module 1 - Pig data types
  • Module 2 - Built-in functions used with the LOAD and STORE operators
  • Module 3 - The difference between storing and dumping a relation
  • Module 4 - The Pig operators
  • Module 5 - Pig evaluation functions

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
03 Mar 2017 02 Apr 2017 (09:00 PM - 12:30 AM) Fri,Sat
04 Mar 2017 02 Apr 2017 (08:30 AM - 12:00 PM) Sat,Sun
04 Mar 2017 02 Apr 2017 (03:30 AM - 07:00 AM) Sat,Sun
07 Mar 2017 24 Mar 2017 (09:00 AM - 11:30 AM) Tue-Sat
06 Mar 2017 23 Mar 2017 (08:30 PM - 11:30 PM) Mon-Fri
11 Mar 2017 09 Apr 2017 (03:30 AM - 07:00 AM) Sat,Sun
10 Mar 2017 09 Apr 2017 (09:00 PM - 12:30 AM) Fri,Sat
11 Mar 2017 09 Apr 2017 (08:30 AM - 12:00 PM) Sat,Sun
13 Mar 2017 30 Mar 2017 (09:30 PM - 11:30 PM) Mon-Fri
14 Mar 2017 31 Mar 2017 (09:30 AM - 11:30 AM) Tue-Sat
17 Mar 2017 16 Apr 2017 (09:30 PM - 12:00 AM) Fri,Sat
18 Mar 2017 16 Apr 2017 (09:30 AM - 12:00 PM) Sat,Sun
18 Mar 2017 16 Apr 2017 (04:30 AM - 07:00 AM) Sat,Sun
20 Mar 2017 06 Apr 2017 (09:30 PM - 11:30 PM) Mon-Fri
21 Mar 2017 07 Apr 2017 (09:30 AM - 11:30 AM) Tue-Sat

Apache Pig Certification

At end of our course, you will be assigned to work a real-time project. Once you completed assigned project with expected results we (Experts Team from GangBoard) will verify and issue Apache Pig Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.

Apache Pig Training Reviews

FAQ

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

Basic Hard ware requirement is useful to install the Apache Pig.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
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  3. Master Card, Or
  4. PayPal

You can reach us through +91-9791273737 / +91-9791237373. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

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