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Pig Training

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HSR Layout, Bangalore

Course ID: 21539

HSR Layout, Bangalore

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Date and Time

Not decided yet.

TBA

B.Tech, M.Tech

About TBA

The trainer is an expert and has 12+ years of exhaustive experience in the IT industry with vast exposure to designing and developing applications. He is able to create rich, interactive and lively learning experience. His ability to powerfully communicate complex
technology concepts to audiences of various levels is highly appreciated by his trainees and training managers. Global giants, such as Nokia, IBM, Sun, Capgemini, GE, Sap Labs, Accenture, HP, NSN, Honeywell etc have benefited from his training deliveries, and keep coming back for repeated deliveries.
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About the Course

Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.

At the present time, Pig's infrastructure layer consists of a compiler that produces sequences of Map-Reduce programs, for which large-scale parallel implementations already exist (e.g., the Hadoop subproject). Pig's language layer currently consists of a textual language called Pig Latin, which has the following key properties:

*Ease of programming. It is trivial to achieve parallel execution of simple, "embarrassingly parallel" data analysis tasks. Complex tasks comprised of multiple interrelated data transformations are explicitly encoded as data flow sequences, making them easy to write, understand, and maintain.
*Optimization opportunities. The way in which tasks are encoded permits the system to optimize their execution automatically, allowing the user to focus on semantics rather than efficiency.
*Extensibility. Users can create their own functions to do special-purpose processing.

Topics Covered

Day 1
*Introducing Pig
*Getting Started with Pig
*Grunt
*Data Model
*IntroducingPig Latin
*Development with Pig Latin
*Testing with PigUnit
Day 2
*Evaluation & Filter Functions
*Load & Store Functions
*Pig & Hive
*Pig And Hbase
*Pig And Cassandra
*Pig and Avro

Who should attend

Developers

Pre-requisites

*Basic familiarity with SQL and/or a scripting language
*No pre-existing knowledge of Hadoop is required

What you need to bring

Laptop

Key Takeaways

*Introducing Pig
*Getting Started with Pig
*Grunt
*Data Model
*IntroducingPig Latin

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